Publications

1. Dansero L, Milani L, Sacerdote C, Ferrari P, Jenab M, Ricceri F (2026). Exploring the Syndemic of Steatotic Liver Disease, Socioeconomic Inequities and Cancer Risk in the UK Biobank. Liver Int. 46(1): e70458. https://doi.org/10.1111/liv.70458 PMID: 41324228
2. Hasenbohler A, Javaux G, Payen de la Garanderie M, Szabo de Edelenyi F, Bourhis L, Agaesse C, et al. (2026). Associations between preservative food additives and type 2 diabetes incidence in the NutriNet-Sante prospective cohort. Nat Commun. 16(1): 11199. https://doi.org/10.1038/s41467-025-67360-w PMID: 41501013
3. Michaud DS, Platz EA, Garrett WS, Waterboer T, Kaaks R, Pasanisi F, et al. (2026). Antibody Responses to 11 Fusobacterium Proteins and Colorectal Cancer-Specific and Overall Survival in the EPIC Cohort. Cancer Epidemiol Biomarkers Prev. 35(1): 88-94. https://doi.org/10.1158/1055-9965.EPI-25-1084 PMID: 41196234
4. Aglago EK, Ramos I, Keski-Rahkonen P, Chatziioannou C, Freisling H, Fedirko V, et al. (2025). Alcohol and smoking habits in association with hepatocellular carcinoma risk. Int J Cancer. 157(4): 644-657. https://doi.org/10.1002/ijc.35401 PMID: 40098437
5. Aguilera-Buenosvinos I, Morales Berstein F, Gonzalez-Gil EM, Dossus L, Gunter MJ, Biessy C, et al. (2025). Adherence to the Mediterranean Diet and Obesity-Linked Cancer Risk in EPIC. JAMA Netw Open. 8(2): e2461031. https://doi.org/10.1001/jamanetworkopen.2024.61031 PMID: 39998833
6. Al Nahas A, Yammine Ghantous S, Morales Berstein F, Cakmak EK, Biessy C, Nicolas G, et al. (2025). Associations between degree of food processing and colorectal cancer risk in a large-scale European cohort. Int J Cancer. 157(2): 260-276. https://doi.org/10.1002/ijc.35361 PMID: 39921517
7. Albers FEM, Swain CTV, Lou MWC, Dashti SG, Rinaldi S, Viallon V, et al. (2025). Insulin and Insulin-like Growth Factor and Risk of Postmenopausal Estrogen Receptor-Positive Breast Cancer: A Case-Cohort Analysis. Cancer Epidemiol Biomarkers Prev. 34(4): 541-549. https://doi.org/10.1158/1055-9965.EPI-24-1304 PMID: 39808164
8. Alduhayh S, Laskar RS, Jiang X, Zhu Z, Vincent EE, Constantinescu AE, et al. (2025). Association of Genetic Liability to Allergic Diseases with Overall and Early-Onset Colorectal Cancer Risk: A Mendelian Randomization Study. Cancer Epidemiol Biomarkers Prev. 34(5): 722-736. https://doi.org/10.1158/1055-9965.EPI-24-0970 PMID: 39982694
9. Auguste A, Jansana A, Freisling H, Ferrari P, Laouali N, Severi G, et al. (2025). Impact of Hypertension on Cancer Stage at Diagnosis Among French Women: The E3N Prospective Cohort. Cancer Med. 14(15): e71021. https://doi.org/10.1002/cam4.71021 PMID: 40719276
10. Berden J, Chimera B, Hanley-Cook GT, Cakmak EK, Vineis P, Nicolas G, et al. (2025). Biodiverse diets present co-benefits for greenhouse gas emissions, land use, mortality rates and nutritional adequacy in Europe. Nat Food. 6(9): 857-867. https://doi.org/10.1038/s43016-025-01214-y PMID: 40835792
11. Berden J, Hanley-Cook GT, Chimera B, Aune D, Pinho MGM, Nicolas G, et al. (2025). Quantifying the environmental and food biodiversity impacts of ultra-processed foods: evidence from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr. 28(1): e164. https://doi.org/10.1017/S1368980025101067 PMID: 40931427
12. Berger E, Dudouet R, Dossus L, Baglietto L, Gelot A, Boutron-Ruault MC, et al. (2025). Biological embodiment of educational attainment and future risk of breast cancer: findings from a French prospective cohort. BMJ Open. 15(2): e087537. https://doi.org/10.1136/bmjopen-2024-087537 PMID: 39915021
13. Bohmann P, Stein MJ, Amadou A, Baurecht H, Fervers B, Fontvieille E, et al. (2025). WHO guidelines on waist circumference and physical activity and their joint association with cancer risk. Br J Sports Med. 59(6): 360-366. https://doi.org/10.1136/bjsports-2024-108708 PMID: 39843229
14. Bohmann P, Stein MJ, Weber A, Konzok J, Fontvieille E, Peruchet-Noray L, et al. (2025). Body Shapes of Multiple Anthropometric Traits and All-cause and Cause-specific Mortality in the UK Biobank. Epidemiology. 36(2): 264-274. https://doi.org/10.1097/EDE.0000000000001810 PMID: 39887119
15. Bouras E, Papagiannopoulos CK, Mustafa R, Sobieski D, Schmit SL, Wu AH, et al. (2025). Investigating the relationship of plasma microRNAs and colorectal cancer risk using genetic evidence. BMC Med. 23(1): 532. https://doi.org/10.1186/s12916-025-04311-8 PMID: 41039543
16. Bouras E, Yu R, Kim AE, Markozannes G, Murphy N, Albanes D, et al. (2025). Using gene-environment interactions to explore pathways for colorectal cancer risk. EBioMedicine. 121: 105964. https://doi.org/10.1016/j.ebiom.2025.105964 PMID: 41076992
17. Brantley KD, Jones ME, Tamimi RM, Rosner BA, Kraft P, Nichols HB, et al. (2025). Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts. Breast Cancer Res. 27(1): 67. https://doi.org/10.1186/s13058-025-02031-8 PMID: 40312753
18. Cairat M, Severi G, Huybrechts I, Fournier A (2025). Ingestion of titanium dioxide as an excipient in medicines and the risk of cancer: a nationwide study within the French National health data system. Eur J Epidemiol. 40(7): 833-843. https://doi.org/10.1007/s10654-025-01263-4 PMID: 40601245
19. Chalitsios CV, Markozannes G, Aglago EK, Berndt SI, Buchanan DD, Campbell PT, et al. (2025). Physical activity and molecular subtypes of colorectal cancer: a pooled observational analysis and Mendelian randomization study. JNCI Cancer Spectr. 9(6): pkaf095. https://doi.org/10.1093/jncics/pkaf095 PMID: 41031512
20. Chalitsios CV, Markozannes G, Aglago EK, Berndt SI, Buchanan DD, Campbell PT, et al. (2025). Physical activity and molecular subtypes of colorectal cancer: a pooled observational analysis and Mendelian randomization study. JNCI Cancer Spectr. 9(6). https://doi.org/10.1093/jncics/pkaf095 PMID: 41031512
21. Chalitsios CV, Markozannes G, Papagiannopoulos C, Aglago EK, Berndt SI, Buchanan DD, et al. (2025). Waist Circumference, a Body Shape Index, and Molecular Subtypes of Colorectal Cancer: A Pooled Analysis of Four Cohort Studies. Cancer Epidemiol Biomarkers Prev. 34(4): 568-577. https://doi.org/10.1158/1055-9965.EPI-24-1534 PMID: 39898780
22. Chan WC, Liu L, Bouras E, Zuber V, Wen W, Long J, et al. (2025). Associations of blood lipids and LDL cholesterol lowering drug-targets with colorectal cancer risk: a Mendelian randomisation study. Br J Cancer. 132(1): 103-110. https://doi.org/10.1038/s41416-024-02900-7 PMID: 39580580
23. Chatziioannou AC, Myridakis A, Stephanou EG (2025). Biomonitoring of Environmental Phenols, Phthalate Metabolites, Triclosan, and Per- and Polyfluoroalkyl Substances in Humans with Chromatography and Mass Spectrometry. Toxics. 13(12). https://doi.org/10.3390/toxics13121029 PMID: 41441250
24. Chen J, Sun Y, Dan L, Wellens J, Yuan S, Yang H, et al. (2025). Composition of plant-based diets and the incidence and prognosis of inflammatory bowel disease: a multinational retrospective cohort study. Lancet Reg Health Eur. 52: 101264. https://doi.org/10.1016/j.lanepe.2025.101264 PMID: 40166364
25. Chimera B, Cakmak EK, Blanco-Lopez J, Berden J, Biessy C, Keski-Rahkonen P, et al. (2025). Metabolic profile of biodiverse diets in a healthy European cohort. Am J Clin Nutr. 122(1): 208-220. https://doi.org/10.1016/j.ajcnut.2025.04.016 PMID: 40500642
26. Chimera B, Hoobler R, Deschasaux-Tanguy M, Van Merris E, Roels O, Playdon M, et al. (2025). The gut microbiome and eating behavior outcomes: A systematic review. Obes Rev. 26(4): e13880. https://doi.org/10.1111/obr.13880 PMID: 39667924
27. Chu AH, Lin K, Croker H, Kefyalew S, Becerra-Tomas N, Dossus L, et al. (2025). Dietary patterns and colorectal cancer risk: Global Cancer Update Programme (CUP Global) systematic literature review. Am J Clin Nutr. 121(5): 999-1016. https://doi.org/10.1016/j.ajcnut.2025.02.021 PMID: 40010692
28. Cobo Diez MJ, Vazquez-Ruiz Z, Huybrechts I, Martin-Moreno JM, Gonzalez IG, Martinez-Gonzalez MA, et al. (2025). Degree of Food Processing and Incidence of Obesity-Related Cancers in the “Seguimiento Universidad de Navarra” Project. J Nutr. 155(11): 3987-3996. https://doi.org/10.1016/j.tjnut.2025.08.031 PMID: 40914514
29. Colombo GE, Mahamat-Saleh Y, Armour M, Madan K, Sabag A, Kvaskoff M, et al. (2025). Non-malignant gynaecological disease and risk of cardiovascular or cerebrovascular disease: a systematic review and meta-analysis. Heart. 111(9): 402-411. https://doi.org/10.1136/heartjnl-2024-324675 PMID: 39993911
30. Cooley V, Fortner RT, Mukama T, Naudin S, Pala V, Dossus L, et al. (2025). Prospective evaluation of 92 protein biomarkers for early detection of endometrial cancer. Int J Cancer. 157(3): 480-489. https://doi.org/10.1002/ijc.35428 PMID: 40177982
31. Cordova R, Kim J, Thompson AS, Noh H, Shah S, Dahm CC, et al. (2025). Plant-based dietary patterns and age-specific risk of multimorbidity of cancer and cardiometabolic diseases: a prospective analysis. Lancet Healthy Longev. 6(8): 100742. https://doi.org/10.1016/j.lanhl.2025.100742 PMID: 40845891
32. Damerell V, Klaassen-Dekker N, Brezina S, Ose J, Ulvik A, van Roekel EH, et al. (2025). Circulating tryptophan-kynurenine pathway metabolites are associated with all-cause mortality among patients with stage I-III colorectal cancer. Int J Cancer. 156(3): 552-565. https://doi.org/10.1002/ijc.35183 PMID: 39308420
33. Davila-Batista V, Viallon V, Fontvieille E, Jansana A, Kohls M, Bondonno NP, et al. (2025). Associations between cardiometabolic comorbidities and mortality in adults with cancer: multinational cohort study. BMJ Med. 4(1): e000909. https://doi.org/10.1136/bmjmed-2024-000909 PMID: 40151205
34. de La Garanderie MP, Dechamp N, Verdot C, Hasenbohler A, Yvroud-Hoyos P, de Edelenyi FS, et al. (2025). Food additive mixtures in French children and adults: the nationally representative Esteban study. Sci Rep. 15(1): 44173. https://doi.org/10.1038/s41598-025-27819-8 PMID: 41360869
35. DeMarini DM, Gwinn W, Watkins E, Reisfeld B, Chiu WA, Zeise L, et al. (2025). IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards. Environ Health Perspect. 133(2): 25001. https://doi.org/10.1289/EHP15389 PMID: 39899356
36. Deslandes B, Wu X, Lee MA, Goudswaard LJ, Jones GW, Gsur A, et al. (2025). Transcriptome-wide Mendelian randomization exploring dynamic CD4+ T cell gene expression in colorectal cancer development. J Leukoc Biol. 117(10): qiaf131. https://doi.org/10.1093/jleuko/qiaf131 PMID: 40974097
37. Dimopoulou O, Fuller H, Richmond RC, Bouras E, Hayes B, Dimou N, et al. (2025). Mendelian randomization study of sleep traits and risk of colorectal cancer. Sci Rep. 15(1): 13478. https://doi.org/10.1038/s41598-024-83693-w PMID: 40251235
38. Domingues A, Zhai Y, Parat MO, Viallon V, Degenhardt L, Pearson SA, et al. (2025). Measuring Exposure to Opioids Using Self-Reported Medication Use Data Versus General Practitioner Prescription Records in the UK Biobank Study. Pharmacoepidemiol Drug Saf. 34(12): e70280. https://doi.org/10.1002/pds.70280 PMID: 41355709
39. Dossus L, Gunter M, Gonzalez-Gil E, Lauby-Secretan B, Ahmadi N, Hursting S, et al. (2025). CUP Global Framework for the review of the biological pathways linking diet, nutrition, body weight, and physical activity with cancer incidence. Retrieved from https://zenodo.org/records/11108790
40. Ebrahimi E, Naudin S, Dimou N, Mayen AL, Wang M, Abnet CC, et al. (2025). Alcohol consumption and upper aerodigestive tract squamous cell carcinoma: evidence from 28 prospective cohorts. J Natl Cancer Inst. 117(12): 2598-2611. https://doi.org/10.1093/jnci/djaf230 PMID: 40977057
41. Elattabi C, Berden J, Lamchabbek N, Bourais I, Bendahhou K, Boutayeb S, et al. (2025). Spatial Distribution of Breast Cancer in Morocco and the Impact of Travel Distance and Rural Residence on Cancer Stage. Epidemiologia (Basel). 6(4). https://doi.org/10.3390/epidemiologia6040080 PMID: 41439838
42. Elattabi C, Lamchabbek N, Boutayeb S, Belyamani L, Huybrechts I, Faure E, et al. (2025). The Impact of Travel Distance on Cancer Stage at Diagnosis for Cancer: A Systematic Review. Int J Environ Res Public Health. 22(4). https://doi.org/10.3390/ijerph22040518 PMID: 40283744
43. Fernandez-Cuesta L, Voegele C, Hemon B, Alcala K, Aune D, Caini S, et al. (2025). The European Prospective Investigation into Cancer and Nutrition Cohort (EPIC): a gateway to rare cancer epidemiological research. ESMO Rare Cancers. 2: None. https://doi.org/10.1016/j.esmorc.2025.100014 PMID: 40661340
44. Fontvieille E, Jansana A, Peruchet-Noray L, Cordova R, Gan Q, Rinaldi S, et al. (2025). Body mass index and breast cancer risk among postmenopausal women with and without cardiometabolic diseases: Findings from two prospective cohort studies in Europe. Cancer. 131(14): e35911. https://doi.org/10.1002/cncr.35911 PMID: 40619910
45. Gan Q, Freisling H, Peruchet-Noray L, Fontvieille E, Matta K, Zhai Y, et al. (2025). Adiposity, mortality, and disease risk: insights from bioimpedance analysis and magnetic resonance imaging. BMC Med. 23(1): 550. https://doi.org/10.1186/s12916-025-04356-9 PMID: 41074136
46. Gonzalez-Gil EM, Matta M, Morales Berstein F, Cairat M, Nicolas G, Blanco J, et al. (2025). Associations between degree of food processing and all-cause and cause-specific mortality: a multicentre prospective cohort analysis in 9 European countries. Lancet Reg Health Eur. 50: 101208. https://doi.org/10.1016/j.lanepe.2024.101208 PMID: 39867840
47. Grenville ZS, Noor U, Rinaldi S, Gunter MJ, Ferrari P, Agnoli C, et al. (2025). Perturbations in the blood metabolome up to a decade before prostate cancer diagnosis in 4387 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition. Int J Cancer. 156(5): 943-952. https://doi.org/10.1002/ijc.35208 PMID: 39378119
48. Guerra G, Venturelli E, Polymeropoulos A, Segrado F, Morelli D, Rinaldi S, et al. (2025). Comprehensive assessment of matrix effects in metallomics: Evaluating 27 metals in serum, heparine-plasma-, EDTA-plasma and citrate-plasma by ICP-MS analysis. J Trace Elem Med Biol. 89: 127667. https://doi.org/10.1016/j.jtemb.2025.127667 PMID: 40339194
49. Gustav M, van Treeck M, Reitsam NG, Carrero ZI, Loeffler CML, Rabasco Meneghetti A, et al. (2025). Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study. Lancet Digit Health. 7(8): 100891. https://doi.org/10.1016/j.landig.2025.100891 PMID: 40829965
50. Hanley-Cook GT, Deygers J, Daly AJ, Berden J, Remans R, Termote C, et al. (2025). Dietary species richness provides a comparable marker for better nutrition and health across contexts. Nat Food. 6(6): 577-586. https://doi.org/10.1038/s43016-025-01147-6 PMID: 40128333
51. Hauan M, Rylander C, Skeie G (2025). Sweet beverages and the risk of colorectal cancer: the Norwegian Women and Cancer Study. BMC Cancer. 25(1): 592. https://doi.org/10.1186/s12885-025-13835-4 PMID: 40169938
52. Hazelwood E, Canson DM, Deslandes B, Wang X, Kho PF, Legge D, et al. (2025). Multi-tissue expression and splicing data prioritise anatomical subsite- and sex-specific colorectal cancer susceptibility genes. Nat Commun. 16(1): 5043. https://doi.org/10.1038/s41467-025-60275-6 PMID: 40447568
53. Hazelwood E, Goudswaard LJ, Lee MA, Vabistsevits M, Pournaras DJ, Brenner H, et al. (2025). Adiposity distribution and risks of 12 obesity-related cancers: a Mendelian randomization analysis. J Natl Cancer Inst. 117(12): 2621-2642. https://doi.org/10.1093/jnci/djaf201 PMID: 40987470
54. His M, Fournier A, Truong T, Gelot A, Navionis AS, Biessy C, et al. (2025). Prospective evaluation of circulating plasma thyroid hormones concentrations and breast cancer risk in the EPIC cohort. EBioMedicine. 121: 106011. https://doi.org/10.1016/j.ebiom.2025.106011 PMID: 41187615
55. Huybrechts I, Nicolas G, Jacobs I, Skeie G, Gunter MJ, Ferrari P, et al. (2025). Dietary-related exposure assessments in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort: an integrated multi-tiered approach using the FoodEx classification system. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 42(7): 849-862. https://doi.org/10.1080/19440049.2025.2509239 PMID: 40460259
56. Jager S, Kuxhaus O, Prada M, Huybrechts I, Tong TYN, Forouhi NG, et al. (2025). Nut consumption, linoleic and alpha-linolenic acid intakes, and genetics: how fatty acid desaturase 1 impacts plasma fatty acids and type 2 diabetes risk in EPIC-InterAct and PREDIMED studies. BMC Med. 23(1): 344. https://doi.org/10.1186/s12916-025-04187-8 PMID: 40484934
57. Jiang SJ, Thomas M, Rosenthal EA, Phipps AI, Sakoda LC, van Duijnhoven FJB, et al. (2025). Multiple polygenic score approach in colorectal cancer risk prediction. Sci Rep. 15(1): 38006. https://doi.org/10.1038/s41598-025-21956-w PMID: 41168411
58. Kanellopoulou A, Bouras E, Chan AT, Marchand LL, Wolk A, Wu AH, et al. (2025). Investigating the association between anthropometry and colorectal cancer survival: a two-sample Mendelian randomization analysis. Int J Epidemiol. 54(6): dyaf193. https://doi.org/10.1093/ije/dyaf193 PMID: 41237309
59. Kanellopoulou A, Bouras E, Chan AT, Marchand LL, Wolk A, Wu AH, et al. (2025). Investigating the association between anthropometry and colorectal cancer survival: a two-sample Mendelian randomization analysis. Int J Epidemiol. 54(6). https://doi.org/10.1093/ije/dyaf193 PMID: 41237309
60. Karra P, Hardikar S, Winn M, Anderson GL, Haaland B, Shadyab AH, et al. (2025). Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women’s Health Initiative. Cancer Prev Res (Phila). 18(2): 63-72. https://doi.org/10.1158/1940-6207.CAPR-24-0082 PMID: 39540294
61. Katzke VA, Dutta S, Rasokat A, Archibugi L, Capurso G, Peduzzi G, et al. (2025). Sex Disparities and Female Reproductive and Hormonal Factors Associated with Risk of Pancreatic Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort. Cancers (Basel). 17(14). https://doi.org/10.3390/cancers17142275 PMID: 40723159
62. Kliemann N, Gunter MJ, Millett CJ, Huybrechts I (2025). Interpreting substitution models in nutritional epidemiology: the case for the protective role of NOVA 1 foods over the risk of NOVA 4. Lancet Planet Health. 9(11): 101332. https://doi.org/10.1016/j.lanplh.2025.101332 PMID: 41043451
63. Koc Cakmak E, Al Nahas A, Chimera B, Hanley-Cook G, Berden J, Fardet A, et al. (2025). The 3V score and joint associations of low ultra-processed food, biodiverse and plant-based diets on colorectal cancer risk: results from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. EClinicalMedicine. 90: 103662. https://doi.org/10.1016/j.eclinm.2025.103662 PMID: 41438976
64. Koistinen V, Meuronen T, Keski-Rahkonen P, Salek R, Savolainen O, Ahmed H, et al. (2025). Harmonizing human plasma metabolite annotation with Plasma Benchmark. Nat Metab. 7(10): 1955-1957. https://doi.org/10.1038/s42255-025-01376-w PMID: 40935890
65. Kolijn PM, Smith-Byrne K, Burk V, Viallon V, Lee MA, Papier K, et al. (2025). Multi-cohort high-dimensional proteomics reveals early risk markers for lymphoid cancer subtypes. Nat Commun. 16(1): 9517. https://doi.org/10.1038/s41467-025-64534-4 PMID: 41152224
66. Konieczna J, Chaplin A, Paz-Graniel I, Croker H, Becerra-Tomas N, Markozannes G, et al. (2025). Adulthood dietary and lifestyle patterns and risk of breast cancer: Global Cancer Update Programme (CUP Global) systematic literature review. Am J Clin Nutr. 121(1): 14-31. https://doi.org/10.1016/j.ajcnut.2024.10.003 PMID: 39489901
67. Lamchabbek N, Elattabi C, Bour A, Chimera B, Boutayeb S, Belyamani L, et al. (2025). Associations Between Dietary Factors and Breast Cancer Risk: A Systematic Review of Evidence from the MENA Region. Nutrients. 17(3). https://doi.org/10.3390/nu17030394 PMID: 39940252
68. Lamchabbek N, Mane N, Mrah S, Elattabi C, Ourrad Z, Chimera B, et al. (2025). Dietary patterns and breast cancer risk: a large-scale case control study among Moroccan women. Eur J Nutr. 65(1): 10. https://doi.org/10.1007/s00394-025-03840-5 PMID: 41417097
69. Le Cornet C, Jung AY, Behrens S, Middha P, Truong T, Jernstrom H, et al. (2025). Exogenous Hormones, Tumor Intrinsic Subtypes, and Breast Cancer. JAMA Netw Open. 8(7): e2519236. https://doi.org/10.1001/jamanetworkopen.2025.19236 PMID: 40622713
70. Lee MA, Burley KL, Hazelwood EL, Moore S, Lewis SJ, Goudswaard LJ (2025). Exploring the role of circulating proteins in multiple myeloma risk: a Mendelian randomization study. Sci Rep. 15(1): 3752. https://doi.org/10.1038/s41598-025-86222-5 PMID: 39885253
71. Lee MA, Tan VY, Pournaras DJ, Wang S, Dossus L, Gunter MJ, et al. (2025). Adiposity, metabolites and endometrial cancer risk: inference from combinations of Mendelian randomization and observational analyses. BMC Cancer. 25(1): 1619. https://doi.org/10.1186/s12885-025-14756-y PMID: 41121051
72. Leitzmann MF, Stein MJ, Baurecht H, Freisling H (2025). Excess adiposity and cancer: evaluating a preclinical-clinical obesity framework for risk stratification. EClinicalMedicine. 83: 103247. https://doi.org/10.1016/j.eclinm.2025.103247 PMID: 40475001
73. Leitzmann MF, Stein MJ, Baurecht H, Freisling H (2025). Response to the letter regarding our article: “Excess adiposity and cancer: evaluating a preclinical-clinical obesity framework for risk stratification”. EClinicalMedicine. 88: 103471. https://doi.org/10.1016/j.eclinm.2025.103471 PMID: 40932852
74. Llaha F, Licaj I, Sharashova E, Ferrari P, Lukic M, Benjaminsen Borch K (2025). Light to Moderate Alcohol Consumption and Cancer Incidence: The Norwegian Women and Health Cohort Study. Clin Epidemiol. 17: 807-821. https://doi.org/10.2147/CLEP.S531643 PMID: 41098845
75. Lu Y, Li G, Viallon V, Ferrari P, Freisling H, Qiao Y, et al. (2025). A large study of metabolomics reveals common and distinct metabolic biomarkers for type 2 diabetes, coronary heart disease, and stroke. Am J Epidemiol. 194(6): 1650-1660. https://doi.org/10.1093/aje/kwae167 PMID: 38944759
76. Mahamat-Saleh Y, Merdas M, Viallon V, Robinot N, Biessy C, Jacobs I, et al. (2025). Association of serum metabolites and breast cancer risk: A population-based case-control study in black urban South African women. Int J Cancer. 157(8): 1543-1556. https://doi.org/10.1002/ijc.35503 PMID: 40528579
77. Majidi A, Rinaldi S, Biessy C, Vozar B, Truong T, Turzanski Fortner R, et al. (2025). Thyroid hormones and epithelial ovarian cancer risk and survival: results from the European Prospective Investigation into Cancer and Nutrition study. J Natl Cancer Inst. 117(11): 2343-2351. https://doi.org/10.1093/jnci/djaf222 PMID: 40811636
78. Mandle HB, Jenab M, Gunter MJ, Tjonneland A, Olsen A, Dahm CC, et al. (2025). Inflammation and gut barrier function-related genes and colorectal cancer risk in western European populations. Mutagenesis. 40(1): 48-60. https://doi.org/10.1093/mutage/geae008 PMID: 38441165
79. Mane N, Fouqani A, Mrah S, Omari M, Bouaddi O, Faure E, et al. (2025). Obesity and Risk of Pre- and Postmenopausal Breast Cancer in Africa: A Systematic Review. Curr Oncol. 32(3): 167. https://doi.org/10.3390/curroncol32030167 PMID: 40136371
80. Mane N, Lamchabbek N, Mrah S, Saidi M, Elattabi C, Faure E, et al. (2025). Anthropometry and the Risk of Breast Cancer in Moroccan Women: A Large Multicentric Case-Control Study. Curr Oncol. 32(8). https://doi.org/10.3390/curroncol32080434 PMID: 40862803
81. Matray C, Debras C, Chatziioannou AC, Perlemuter G, Jenab M, Voican CSD (2025). Diet Habits and Hepatocellular Carcinoma-Potential Implication for Clinical Practice. Nutr Rev. 83(12): 2372-2388. https://doi.org/10.1093/nutrit/nuaf129 PMID: 40679550
82. Matta K, Viallon V, Chatziioannou AC, Robinot N, Wedekind R, Dahm CC, et al. (2025). Can serum metabolic signatures inform on the relationship between healthy lifestyle and colon cancer risk? Cancer Metab. 13(1): 30. https://doi.org/10.1186/s40170-025-00388-0 PMID: 40524238
83. Mayen AL, Maasen K, Hana C, Knaze V, Scheijen J, Eussen S, et al. (2025). Higher intakes of dietary dicarbonyl compounds are associated with lower risk of cardiovascular disease. Eur J Prev Cardiol. 32(16): 1588-1600. https://doi.org/10.1093/eurjpc/zwaf060 PMID: 40036164
84. Mols R, Huybrechts I, Skeie G (2025). High consumption of ultra-processed food and risk of colorectal cancer: the Norwegian Women and Cancer cohort study. Br J Nutr. 134(6): 497-506. https://doi.org/10.1017/S0007114525105114 PMID: 40954564
85. Morales Berstein F, Khouja J, Gormley M, Ebrahimi E, Virani S, McKay JD, et al. (2025). Reassessing the link between adiposity and head and neck cancer: a Mendelian randomization study. Elife. 14: RP106075. https://doi.org/10.7554/eLife.106075 PMID: 41065334
86. Nakata K, Cheung YT, Kato M, Huong GN, Lam CS, Matsuda T, et al. (2025). Epidemiology of childhood cancer in Asia. EClinicalMedicine. 89: 103554. https://doi.org/10.1016/j.eclinm.2025.103554 PMID: 41357332
87. Naudin S, Wang M, Dimou N, Ebrahimi E, Genkinger J, Adami HO, et al. (2025). Alcohol intake and pancreatic cancer risk: An analysis from 30 prospective studies across Asia, Australia, Europe, and North America. PLoS Med. 22(5): e1004590. https://doi.org/10.1371/journal.pmed.1004590 PMID: 40392909
88. Onwuka JU, Zahed H, Feng X, Alcala K, Erhunmwunsee L, Williams RM, et al. (2025). Association between socioeconomic position and lung cancer incidence in 16 countries: a prospective cohort consortium study. EClinicalMedicine. 82: 103152. https://doi.org/10.1016/j.eclinm.2025.103152 PMID: 40212049
89. Oyelere AM, Verstraete FF, Kok DE, Bos D, Gunter MJ, de Wilt JHW, et al. (2025). Coffee consumption and mortality in colorectal cancer patients: Does the co-existence of cardiometabolic disease matter? Clin Nutr ESPEN. 67: 62-70. https://doi.org/10.1016/j.clnesp.2025.02.025 PMID: 40057276
90. Papadimitriou N, Kazmi N, Tsilidis KK, Richmond RC, Lynch BM, Bendinelli B, et al. (2025). Identifying Metabolomic Mediators of the Physical Activity and Colorectal Cancer Relationship. Cancer Epidemiol Biomarkers Prev. 34(4): 578-587. https://doi.org/10.1158/1055-9965.EPI-24-1390 PMID: 39883068
91. Papadimitriou N, Murphy N, Jenab M, Chen Z, Brenner H, Kweon SS, et al. (2025). Body mass index at birth and early life and colorectal cancer: A two-sample Mendelian randomization analysis in European and East Asian genetic similarity populations. Pediatr Obes. 20(1): e13186. https://doi.org/10.1111/ijpo.13186 PMID: 39587448
92. Papagiannopoulos CK, Markozannes G, Chalitsios CV, Christakoudi S, Gunter MJ, Dossus L, et al. (2025). Sex-stratified metabolic signatures of adiposity indices and their associations with clinical biomarkers in the UK Biobank. EBioMedicine. 119: 105868. https://doi.org/10.1016/j.ebiom.2025.105868 PMID: 40768833
93. Papier K, Bradbury KE, Balkwill A, Barnes I, Smith-Byrne K, Gunter MJ, et al. (2025). Diet-wide analyses for risk of colorectal cancer: prospective study of 12,251 incident cases among 542,778 women in the UK. Nat Commun. 16(1): 375. https://doi.org/10.1038/s41467-024-55219-5 PMID: 39779669
94. Park JY, Van Puyvelde H, Regazzetti L, Clasen JL, Heath AK, Eussen S, et al. (2025). Association Between Dietary Intake and Blood Concentrations of One-Carbon-Metabolism-Related Nutrients in European Prospective Investigation into Cancer and Nutrition. Nutrients. 17(12): 19. https://doi.org/10.3390/nu17121970 PMID: 40573081
95. Payen de la Garanderie M, Hasenbohler A, Dechamp N, Javaux G, Szabo de Edelenyi F, Agaesse C, et al. (2025). Food additive mixtures and type 2 diabetes incidence: Results from the NutriNet-Sante prospective cohort. PLoS Med. 22(4): e1004570. https://doi.org/10.1371/journal.pmed.1004570 PMID: 40198579
96. Perganti F, Huybrechts I, Balduzzi AC, Barr R, Biondi A, Blade AL, et al. (2025). Southern European Prospective Investigation Into Childhood Cancer and Nutrition (EPICkids): Study design and protocol. PLoS One. 20(9): e0319110. https://doi.org/10.1371/journal.pone.0319110 PMID: 40911561
97. Peruchet-Noray L, Dimou N, Cordova R, Fontvieille E, Jansana A, Gan Q, et al. (2025). Nature or nurture: genetic and environmental predictors of adiposity gain in adults. EBioMedicine. 111: 105510. https://doi.org/10.1016/j.ebiom.2024.105510 PMID: 39689375
98. Pittavino M, Plummer M, Johansson M, Riboli E, Ferrari P (2025). A Bayesian hierarchical framework to integrate dietary exposure and biomarker measurements into aetiological models. Journal of the Royal Statistical Society Series C-Applied Statistics. 74(5): 1427-1443. https://doi.org/10.1093/jrsssc/qlaf029
99. Pizzato M, McCormack V, Dossus L, Al-Alem U, Delpierre C, Lamy S, et al. (2025). Education level and risk of breast cancer by tumor subtype in the EPIC cohort. Int J Cancer. 157(4): 672-686. https://doi.org/10.1002/ijc.35413 PMID: 40170258
100. Porta M, Pumarega J, Gimenez A, Tjonneland A, Chirlaque MD, Sacerdote C, et al. (2025). Factors influencing the diagnostic basis in pancreatic cancer. A study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Cancer Treat Res Commun. 45: 101009. https://doi.org/10.1016/j.ctarc.2025.101009 PMID: 41045727
101. Praud D, Amadou A, Coudon T, Duboeuf M, Mercoeur B, Faure E, et al. (2025). Association between chronic long-term exposure to airborne dioxins and breast cancer. Int J Hyg Environ Health. 263: 114489. https://doi.org/10.1016/j.ijheh.2024.114489 PMID: 39579601
102. Reichmann R, Nimptsch K, Pischon T, Gunter MJ, Jenab M, Eriksen AK, et al. (2025). Sex- and site-specific associations of circulating lipocalin 2 and incident colorectal cancer: Results from the EPIC cohort. Int J Cancer. 156(5): 930-942. https://doi.org/10.1002/ijc.35205 PMID: 39511728
103. Sahrai MS, Dossus L, Biessy C, Rinaldi S, Ferrari P, Wasiq AW, et al. (2025). Dietary patterns among Afghan adults and their associations with overweight and obesity: a cross-sectional study in Kandahar, Afghanistan. BMC Public Health. 25(1): 595. https://doi.org/10.1186/s12889-025-21775-8 PMID: 39948468
104. Scherer D, Barahona Ponce C, Mengoa C, Montenegro P, Losada H, Garcia AL, et al. (2025). Data Resource Profile: EULAT Eradicate GBC: the European-Latin American Research Consortium towards Eradication of Preventable Gallbladder Cancer. Int J Epidemiol. 54(4). https://doi.org/10.1093/ije/dyaf127 PMID: 40735836
105. Shah S, Laouali N, Mahamat-Saleh Y, Biessy C, Nicolas G, Rinaldi S, et al. (2025). Plant-based dietary patterns and breast cancer risk in the European prospective investigation into cancer and nutrition (EPIC) study. Eur J Epidemiol. 40(8): 947-958. https://doi.org/10.1007/s10654-025-01277-y PMID: 40658296
106. Sheikh M, Domingues A, Alcala K, Langdon R, Mariosa D, Feng X, et al. (2025). Regular use of pharmaceutical opioids and subsequent risk of cancer: a prospective cohort study and Mendelian randomization analysis. EClinicalMedicine. 89: 103439. https://doi.org/10.1016/j.eclinm.2025.103439 PMID: 41357337
107. Shi F, Chowdhury R, Sofianopoulou E, Koulman A, Sun L, Steur M, et al. (2025). Association of circulating fatty acids with cardiovascular disease risk: analysis of individual-level data in three large prospective cohorts and updated meta-analysis. Eur J Prev Cardiol. 32(3): 233-246. https://doi.org/10.1093/eurjpc/zwae315 PMID: 39365172
108. Skrivankova VW, Richmond RC, Woolf BAR, Davies NM, Swanson SA, VanderWeele TJ, et al. (2025). Strengthening the reporting of observational studies in epidemiology using Mendelian randomization (STROBE-MR): a Korean translation of explanation and elaboration. Ewha Med J. 48(4): e68. https://doi.org/10.12771/emj.2025.00934 PMID: 41223895
109. Stein MJ, Baurecht H, Bohmann P, Ferrari P, Fervers B, Fontvieille E, et al. (2025). Usual walking Pace and risk of 28 cancers- results from the UK biobank. BMC Cancer. 25(1): 869. https://doi.org/10.1186/s12885-025-14258-x PMID: 40369483
110. Stein MJ, Freisling H, Leitzmann MF (2025). Clinical Obesity and All-Cause and Cause-Specific Mortality in UK Biobank. JAMA Intern Med. 185(12): 1497-1500. https://doi.org/10.1001/jamainternmed.2025.4978 PMID: 41143828
111. Stromland PP, Bertelsen BE, Viste K, Chatziioannou AC, Bellerba F, Robinot N, et al. (2025). Effects of metformin on transcriptomic and metabolomic profiles in breast cancer survivors enrolled in the randomized placebo-controlled MetBreCS trial. Sci Rep. 15(1): 16897. https://doi.org/10.1038/s41598-025-01705-9 PMID: 40374694
112. Syleouni ME, Joshu CE, Coresh J, Gunter MJ, Butler KR, Couper DJ, et al. (2025). Discovering plasma proteins associated with breast cancer incidence in postmenopausal women in the Atherosclerosis Risk in Communities study. J Natl Cancer Inst. 117(10): 2044-2052. https://doi.org/10.1093/jnci/djaf170 PMID: 40623012
113. Thomas CE, Lin Y, Kim M, Kawaguchi ES, Qu C, Um CY, et al. (2025). Characterization of Additive Gene-environment Interactions For Colorectal Cancer Risk. Epidemiology. 36(1): 126-138. https://doi.org/10.1097/EDE.0000000000001795 PMID: 39316822
114. van Zutphen M, Verkaar A, van Duijnhoven FJB, Voortman T, Baskin ML, Chowdhury R, et al. (2025). Early-life anthropometry and colorectal cancer risk in adulthood: Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis of prospective studies. Int J Cancer. 157(6): 1094-1109. https://doi.org/10.1002/ijc.35461 PMID: 40432531
115. Vasson F, Matta K, Biessy C, C SA, Fournier A, Marques C, et al. (2025). Lifestyle changes and postmenopausal breast cancer risk in women from the European Prospective Investigation into Cancer and Nutrition. Breast Cancer Res. 27(1): 192. https://doi.org/10.1186/s13058-025-02148-w PMID: 41163053
116. Velasquez-Herrera T, Valverde P, Fuentes S, Pena A, Ortiz R, Calderon P, et al. (2025). Second Generation of AHOPCA (Asociacion de Hemato-Oncologia Pediatrica de Centro America) Treatment Guidelines for Wilms Tumor: A Report of Outcomes. Pediatr Blood Cancer: e32148. https://doi.org/10.1002/pbc.32148 PMID: 41199505
117. Walters M, Barr R, Breda J, Celletti F, de Braganca J, Huybrechts I, et al. (2025). Non-Communicable Diseases in Children: Systems-Based Approaches to Incorporating Nutrition into Medical Care. Children (Basel). 12(11). https://doi.org/10.3390/children12111503 PMID: 41300620
118. Wang SE, Tan VY, Yarmolinsky J, Zheng Y, O’Mara TA, Timpson NJ, et al. (2025). The Effect of Circulating Proteins and Their Role in Mediating Adiposity’s Effect on Endometrial Cancer Risk: Mendelian Randomization and Colocalization Analyses. Cancer Epidemiol Biomarkers Prev. 34(9): 1534-1543. https://doi.org/10.1158/1055-9965.EPI-25-0165 PMID: 40553479
119. Yarmolinsky J, Gunter MJO (2025). GLP-1 receptor agonists: an emerging tool for obesity-related cancer prevention? J Natl Cancer Inst. 117(10): 1966-1969. https://doi.org/10.1093/jnci/djaf212 PMID: 40901707
120. Yarmolinsky J, Lee MA, Lau E, Moratalla-Navarro F, Vincent EE, Li-Gao R, et al. (2025). Proteogenomic and observational evidence implicate ANGPTL4 as a potential therapeutic target for colorectal cancer prevention. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djaf137 PMID: 40511612
121. Abbad-Gomez D, Domingo L, Comas M, Santia P, Jansana A, Poblador B, et al. (2024). Effect of comorbidity and multimorbidity on adherence to follow-up recommendations among long-term breast cancer survivors. Maturitas. 182: 107918. https://doi.org/10.1016/j.maturitas.2024.107918 PMID: 38280353
122. Aglago EK, Qu C, Harlid S, Phipps AI, Steinfelder RS, Ogino S, et al. (2024). Folate intake and colorectal cancer risk according to genetic subtypes defined by targeted tumor sequencing. Am J Clin Nutr. 120(3): 664-673. https://doi.org/10.1016/j.ajcnut.2024.07.012 PMID: 39025327
123. Albers FEM, Lou MWC, Dashti SG, Swain CTV, Rinaldi S, Viallon V, et al. (2024). Sex-steroid hormones and risk of postmenopausal estrogen receptor-positive breast cancer: a case-cohort analysis. Cancer Causes Control. 35(6): 921-933. https://doi.org/10.1007/s10552-024-01856-6 PMID: 38363402
124. Amadou A, Freisling H, Sedlmeier AM, Bohmann P, Fontvieille E, Weber A, et al. (2024). Multi-Trait Body Shape Phenotypes and Breast Cancer Risk in Postmenopausal Women: A Causal Mediation Analysis in the UK Biobank Cohort. J Epidemiol Glob Health. 14(2): 420-432. https://doi.org/10.1007/s44197-024-00226-4 PMID: 38598163
125. Antoniussen CS, Proust-Lima C, Ibsen DB, Olsen A, Overvad K, Tjonneland A, et al. (2024). Alcohol consumption trajectories and risk of breast cancer among postmenopausal women: a Danish cohort study. Eur J Epidemiol. 39(12): 1353-1362. https://doi.org/10.1007/s10654-024-01179-5 PMID: 39630402
126. Beigrezaei S, Dianati M, Salehi-Abargouei A, Fararouei M, Akbari-Beni A, Brinkman M, et al. (2024). The association between animal protein, plant protein, and their substitution with bladder cancer risk: a pooled analysis of 10 cohort studies. Eur J Nutr. 64(1): 55. https://doi.org/10.1007/s00394-024-03551-3 PMID: 39718625
127. Berger E, Gelot A, Fournier A, Dossus L, Boutron-Ruault MC, Severi G, et al. (2024). Educational level and characteristics of invasive breast cancer: findings from a French prospective cohort. Cancer Causes Control. 35(8): 1151-1163. https://doi.org/10.1007/s10552-024-01873-5 PMID: 38615276
128. Boden S, Zheng R, Ribbenstedt A, Landberg R, Harlid S, Vidman L, et al. (2024). Dietary patterns, untargeted metabolite profiles and their association with colorectal cancer risk. Sci Rep. 14(1): 2244. https://doi.org/10.1038/s41598-023-50567-6 PMID: 38278865
129. Botteri E, Peveri G, Berstad P, Bagnardi V, Hoff G, Heath AK, et al. (2024). Lifestyle changes in middle age and risk of cancer: evidence from the European Prospective Investigation into Cancer and Nutrition. Eur J Epidemiol. 39(2): 147-159. https://doi.org/10.1007/s10654-023-01059-4 PMID: 38180593
130. Breeur M, Stepaniants G, Keski-Rahkonen P, Rigollet P, Viallon V (2024). Optimal transport for automatic alignment of untargeted metabolomic data. Elife. 12: 43. https://doi.org/10.7554/eLife.91597 PMID: 38896449
131. Bull CJ, Hazelwood E, Legge DN, Corbin LJ, Richardson TG, Lee M, et al. (2024). Impact of weight loss on cancer-related proteins in serum: results from a cluster randomised controlled trial of individuals with type 2 diabetes. EBioMedicine. 100: 104977. https://doi.org/10.1016/j.ebiom.2024.104977 PMID: 38290287
132. Cacau LT, Hanley-Cook GT, Vandevijvere S, Leclercq C, De Henauw S, Santaliestra-Pasias A, et al. (2024). Association between adherence to the EAT-Lancet sustainable reference diet and cardiovascular health among European adolescents: the HELENA study. Eur J Clin Nutr. 78(3): 202-208. https://doi.org/10.1038/s41430-023-01379-4 PMID: 38093098
133. Cairat M, Huybrechts I, Fournier A (2024). Exposure assessment of titanium dioxide via drugs available on the French market: A nationwide descriptive study. Therapie. 79(6): 718-729. https://doi.org/10.1016/j.therap.2024.07.005 PMID: 39174454
134. Cairat M, Yammine S, Fiolet T, Fournier A, Boutron-Ruault MC, Laouali N, et al. (2024). Degree of food processing and breast cancer risk: a prospective study in 9 European countries. Food Prod Process Nutr. 6(1): 89. https://doi.org/10.1186/s43014-024-00264-2 PMID: 39399144
135. Castro-Espin C, Cairat M, Navionis AS, Dahm CC, Antoniussen CS, Tjonneland A, et al. (2024). Prognostic role of pre-diagnostic circulating inflammatory biomarkers in breast cancer survival: evidence from the EPIC cohort study. Br J Cancer. 131(9): 1496-1505. https://doi.org/10.1038/s41416-024-02858-6 PMID: 39342063
136. Chan DSM, Cariolou M, Markozannes G, Balducci K, Vieira R, Kiss S, et al. (2024). Post-diagnosis dietary factors, supplement use and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer. 155(3): 445-470. https://doi.org/10.1002/ijc.34906 PMID: 38692645
137. Chang K, Parnham JC, Rauber F, Levy RB, Huybrechts I, Gunter MJ, et al. (2024). Plant-based dietary patterns and ultra-processed food consumption: a cross-sectional analysis of the UK Biobank. EClinicalMedicine. 78: 102931. https://doi.org/10.1016/j.eclinm.2024.102931 PMID: 39619237
138. Chen Z, Guo X, Tao R, Huyghe JR, Law PJ, Fernandez-Rozadilla C, et al. (2024). Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes. Nat Commun. 15(1): 3557. https://doi.org/10.1038/s41467-024-47399-x PMID: 38670944
139. Cheng SL, Hedges M, Keski-Rahkonen P, Chatziioannou AC, Scalbert A, Chung KF, et al. (2024). Multiomic Signatures of Traffic-Related Air Pollution in London Reveal Potential Short-Term Perturbations in Gut Microbiome-Related Pathways. Environ Sci Technol. 58(20): 8771-8782. https://doi.org/10.1021/acs.est.3c09148 PMID: 38728551
140. Cheng SL, Hedges M, Keski-Rahkonen P, Chatziioannou AC, Scalbert A, Chung KF, et al. (2024). Correction to “Multiomic Signatures of Traffic-Related Air Pollution in London Reveal Potential Short-Term Perturbations in Gut Microbiome-Related Pathways”. Environ Sci Technol. 58(39): 17520-17521. https://doi.org/10.1021/acs.est.4c09132 PMID: 39283711
141. Cheng TS, Noor U, Watts E, Pollak M, Wang Y, McKay J, et al. (2024). Circulating free insulin-like growth factor-I and prostate cancer: a case-control study nested in the European prospective investigation into cancer and nutrition. BMC Cancer. 24(1): 676. https://doi.org/10.1186/s12885-023-11425-w PMID: 38831273
142. Collaborators GBDNSD (2024). Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol. 23(4): 344-381. https://doi.org/10.1016/S1474-4422(24)00038-3 PMID: 38493795
143. Constantinescu AE, Bull CJ, Jones N, Mitchell R, Burrows K, Dimou N, et al. (2024). Circulating white blood cell traits and colorectal cancer risk: A Mendelian randomisation study. Int J Cancer. 154(1): 94-103. https://doi.org/10.1002/ijc.34691 PMID: 37578112
144. Damasco-Avila E, Ubico P, Blanco J, Perez M, Farncombe T, Morales G, et al. (2024). The Nutritional Burden of Cancer: Nutritional Status and Body Composition Differences Between Children with Acute Lymphoblastic Leukemia and their Siblings in Guatemala. Nutr Cancer. 76(10): 994-1000. https://doi.org/10.1080/01635581.2024.2382391 PMID: 39033402
145. Daniel N, Farinella R, Chatziioannou AC, Jenab M, Mayen AL, Rizzato C, et al. (2024). Genetically predicted gut bacteria, circulating bacteria-associated metabolites and pancreatic ductal adenocarcinoma: a Mendelian randomisation study. Sci Rep. 14(1): 25144. https://doi.org/10.1038/s41598-024-77431-5 PMID: 39448785
146. Daniel N, Farinella R, Chatziioannou AC, Jenab M, Mayen AL, Rizzato C, et al. (2024). Publisher Correction: Genetically predicted gut bacteria, circulating bacteria-associated metabolites and pancreatic ductal adenocarcinoma: a Mendelian randomisation study. Sci Rep. 14(1): 30569. https://doi.org/10.1038/s41598-024-83618-7 PMID: 39702435
147. Daniel N, Genua F, Jenab M, Mayen AL, Chrysovalantou Chatziioannou A, Keski-Rahkonen P, et al. (2024). The role of the gut microbiome in the development of hepatobiliary cancers. Hepatology. 80(5): 1252-1269. https://doi.org/10.1097/HEP.0000000000000406 PMID: 37055022
148. de Souza JS, Kliemann N, Vieira FGK, Al Nahas A, Reitz LK, Aglago EK, et al. (2024). Development, Content Validity and Usability of a Self-Assessment Instrument for the Lifestyle of Breast Cancer Survivors in Brazil. Nutrients. 16(21). https://doi.org/10.3390/nu16213707 PMID: 39519541
149. Debras C, Cordova R, Mayen AL, Maasen K, Knaze V, Eussen S, et al. (2024). Dietary intake of dicarbonyl compounds and changes in body weight over time in a large cohort of European adults. Br J Nutr. 131(11): 1902-1914. https://doi.org/10.1017/S0007114524000503 PMID: 38383991
150. Deschasaux-Tanguy M, Huybrechts I, Julia C, Hercberg S, Sarda B, Fialon M, et al. (2024). Nutritional quality of diet characterized by the Nutri-Score profiling system and cardiovascular disease risk: a prospective study in 7 European countries. Lancet Reg Health Eur. 46: 101006. https://doi.org/10.1016/j.lanepe.2024.101006 PMID: 39529812
151. Dicken SJ, Dahm CC, Ibsen DB, Olsen A, Tjonneland A, Louati-Hajji M, et al. (2024). Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC). Lancet Reg Health Eur. 46: 101043. https://doi.org/10.1016/j.lanepe.2024.101043 PMID: 39529810
152. Downham L, Jaafar I, Rol ML, Nyawira Nyaga V, Valls J, Baena A, et al. (2024). Accuracy of HPV E6/E7 oncoprotein tests to detect high-grade cervical lesions: a systematic literature review and meta-analysis. Br J Cancer. 130(4): 517-525. https://doi.org/10.1038/s41416-023-02490-w PMID: 37973957
153. Drew DA, Kim AE, Lin Y, Qu C, Morrison J, Lewinger JP, et al. (2024). Two genome-wide interaction loci modify the association of nonsteroidal anti-inflammatory drugs with colorectal cancer. Sci Adv. 10(22): eadk3121. https://doi.org/10.1126/sciadv.adk3121 PMID: 38809988
154. Fiolet T, Nicolas G, Casagrande C, Horvath Z, Frenoy P, Weiderpass E, et al. (2024). Dietary intakes of dioxins and polychlorobiphenyls (PCBs) and mortality: EPIC cohort study in 9 European countries. Int J Hyg Environ Health. 255: 114287. https://doi.org/10.1016/j.ijheh.2023.114287 PMID: 37989047
155. Freisling H, Cordova R, Aune D, Wagner KH (2024). Ultra processed foods and cancer-authors’ reply. Lancet Reg Health Eur. 38: 100865. https://doi.org/10.1016/j.lanepe.2024.100865 PMID: 38375449
156. Gil-Lespinard M, Almanza-Aguilera E, Castaneda J, Guinon-Fort D, Eriksen AK, Tjonneland A, et al. (2024). Plasma Concentration of 36 (Poly)phenols and Prospective Body Weight Change in Participants from the EPIC Cohort. Ann Nutr Metab. 80(2): 87-100. https://doi.org/10.1159/000535803 PMID: 38272006
157. Goerdten J, Muli S, Rattner J, Merdas M, Achaintre D, Yuan L, et al. (2024). Identification and Replication of Urine Metabolites Associated With Short-Term and Habitual Intake of Sweet and Fatty Snacks in European Children and Adolescents. J Nutr. 154(11): 3274-3285. https://doi.org/10.1016/j.tjnut.2024.09.026 PMID: 39332769
158. Gonzalez-Gil EM, Peruchet-Noray L, Sedlmeier AM, Christakoudi S, Biessy C, Navionis AS, et al. (2024). Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank. BMC Med. 22(1): 334. https://doi.org/10.1186/s12916-024-03544-3 PMID: 39148045
159. Groninger M, Sabin J, Kaaks R, Amiano P, Aune D, Castro NC, et al. (2024). Associations of milk, dairy products, calcium and vitamin D intake with risk of developing Parkinson s disease within the EPIC4ND cohort. Eur J Epidemiol. 39(11): 1251-1265. https://doi.org/10.1007/s10654-024-01183-9 PMID: 39625618
160. Harewood R, Rothwell JA, Besevic J, Viallon V, Achaintre D, Gicquiau A, et al. (2024). Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk: a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC). EBioMedicine. 101: 105024. https://doi.org/10.1016/j.ebiom.2024.105024 PMID: 38412638
161. Hawwash NK, Sperrin M, Martin GP, Sinha R, Matthews CE, Ricceri F, et al. (2024). Excess weight by degree and duration and cancer risk (ABACus2 consortium): a cohort study and individual participant data meta-analysis. EClinicalMedicine. 78: 102921. https://doi.org/10.1016/j.eclinm.2024.102921 PMID: 39640936
162. Hazelwood E, Lopez Manzano C, Vincent EE, Albanes D, Bishop DT, Le Marchand L, et al. (2024). Plasma Ghrelin and Risks of Sex-Specific, Site-Specific, and Early-Onset Colorectal Cancer: A Mendelian Randomization Analysis. Cancer Epidemiol Biomarkers Prev. 33(12): 1727-1732. https://doi.org/10.1158/1055-9965.EPI-24-0926 PMID: 39361354
163. His M, Gunter MJ, Keski-Rahkonen P, Rinaldi S (2024). Application of Metabolomics to Epidemiologic Studies of Breast Cancer: New Perspectives for Etiology and Prevention. J Clin Oncol. 42(1): 103-115. https://doi.org/10.1200/JCO.22.02754 PMID: 37944067
164. Huybrechts I, Chimera B, Hanley-Cook GT, Biessy C, Deschasaux-Tanguy M, Touvier M, et al. (2024). Food biodiversity and gastrointestinal cancer risk in nine European countries: Analysis within a prospective cohort study. Eur J Cancer. 210: 114258. https://doi.org/10.1016/j.ejca.2024.114258 PMID: 39168001
165. Huybrechts I, Jacobs I, Biessy C, Aglago EK, Jenab M, Claeys L, et al. (2024). Associations between dietary mycotoxins exposures and risk of hepatocellular carcinoma in a European cohort. PLoS One. 19(12): e0315561. https://doi.org/10.1371/journal.pone.0315561 PMID: 39680546
166. Jansana A, Auguste A, Kvaskoff M, Fournier A, Fontvieille E, Peruchet-Noray L, et al. (2024). Impact of pre-existing cardiometabolic diseases on metastatic cancer stage at diagnosis: a prospective multinational cohort study. Cancer Commun (Lond). 44(5): 593-597. https://doi.org/10.1002/cac2.12526 PMID: 38487965
167. Jenkins DJA, Willett WC, Yusuf S, Hu FB, Glenn AJ, Liu S, et al. (2024). Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants. Lancet Diabetes Endocrinol. 12(2): 107-118. https://doi.org/10.1016/S2213-8587(23)00344-3 PMID: 38272606
168. Johansson H, Bellerba F, Macis D, Bertelsen BE, Guerrieri-Gonzaga A, Aristarco V, et al. (2024). Effect of metformin and lifestyle intervention on adipokines and hormones in breast cancer survivors: a pooled analysis from two randomized controlled trials. Breast Cancer Res Treat. 205(1): 49-59. https://doi.org/10.1007/s10549-023-07241-2 PMID: 38279016
169. Khalis M, Elbadisy I, Bouaddi O, Luo A, Bendriouich A, Addahri B, et al. (2024). Cluster analysis of cancer knowledge, attitudes and behaviors in the Moroccan population. BMC Cancer. 24(1): 669. https://doi.org/10.1186/s12885-024-12226-5 PMID: 38824496
170. Klont F, Nijdam FB, Bakker SJL, Keski-Rahkonen P, Hopfgartner G, Investigators T (2024). High-abundance peaks and peak clusters associate with pharmaceutical polymers and excipients in urinary untargeted clinical metabolomics data: exploration of their origin and possible impact on label-free quantification. Analyst. 149(4): 1061-1067. https://doi.org/10.1039/d3an01874a PMID: 38251754
171. Landberg R, Karra P, Hoobler R, Loftfield E, Huybrechts I, Rattner JI, et al. (2024). Dietary biomarkers-an update on their validity and applicability in epidemiological studies. Nutr Rev. 82(9): 1260-1280. https://doi.org/10.1093/nutrit/nuad119 PMID: 37791499
172. Laskar RS, Qu C, Huyghe JR, Harrison T, Hayes RB, Cao Y, et al. (2024). Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer. Ann Oncol. 35(6): 523-536. https://doi.org/10.1016/j.annonc.2024.02.008 PMID: 38408508
173. Lee MA, Hatcher CA, Hazelwood E, Goudswaard LJ, Tsilidis KK, Vincent EE, et al. (2024). A proteogenomic analysis of the adiposity colorectal cancer relationship identifies GREM1 as a probable mediator. Int J Epidemiol. 54(1): 13. https://doi.org/10.1093/ije/dyae175 PMID: 39846783
174. Li J, Roshelli Baker J, Aglago EK, Zhao Z, Jiao L, Freisling H, et al. (2024). Pre-diagnostic plasma advanced glycation end-products and soluble receptor for advanced glycation end-products and mortality in colorectal cancer patients. Int J Cancer. 155(11): 1982-1995. https://doi.org/10.1002/ijc.35114 PMID: 39057841
175. Li M, Cao SM, Dimou N, Wu L, Li JB, Yang J (2024). Association of Metabolic Syndrome With Risk of Lung Cancer: A Population-Based Prospective Cohort Study. Chest. 165(1): 213-223. https://doi.org/10.1016/j.chest.2023.08.003 PMID: 37572975
176. Lopez-Jimenez T, Plana-Ripoll O, Duarte-Salles T, Recalde M, Bennett M, Xavier-Cos F, et al. (2024). Exploring the association between metabolic syndrome, its components and subsequent cancer incidence: A cohort study in Catalonia. Cancer Med. 13(16): e7400. https://doi.org/10.1002/cam4.7400 PMID: 39149842
177. Mahamat-Saleh Y, Aune D, Freisling H, Hardikar S, Jaafar R, Rinaldi S, et al. (2024). Association of metabolic obesity phenotypes with risk of overall and site-specific cancers: a systematic review and meta-analysis of cohort studies. Br J Cancer. 131(9): 1480-1495. https://doi.org/10.1038/s41416-024-02857-7 PMID: 39317703
178. Manfredi L, Sodano B, Raganato C, Buscema F, Milani L, Catalano A, et al. (2024). A longitudinal Analysis of the Association between Socioeconomic Position and Multimorbidity in the European Prospective Investigation into Cancer and Nutrition Study. Aging Dis. 16(6): 3625-3637. https://doi.org/10.14336/AD.2024.1166 PMID: 39965252
179. Markozannes G, Becerra-Tomas N, Cariolou M, Balducci K, Vieira R, Kiss S, et al. (2024). Post-diagnosis physical activity and sedentary behaviour and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer. 155(3): 426-444. https://doi.org/10.1002/ijc.34903 PMID: 38692650
180. Matta K, Viallon V, Botteri E, Peveri G, Dahm C, Nannsen AO, et al. (2024). Healthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort. BMC Med. 22(1): 210. https://doi.org/10.1186/s12916-024-03362-7 PMID: 38807179
181. Mayen AL, Sabra M, Aglago EK, Perlemuter G, Voican C, Ramos I, et al. (2024). Hepatic steatosis, metabolic dysfunction and risk of mortality: findings from a multinational prospective cohort study. BMC Med. 22(1): 221. https://doi.org/10.1186/s12916-024-03366-3 PMID: 38825687
182. Meyer A, Dong C, Chan SSM, Touvier M, Julia C, Huybrechts I, et al. (2024). Dietary index based on the Food Standards Agency nutrient profiling system and risk of Crohn’s disease and ulcerative colitis. Aliment Pharmacol Ther. 59(4): 558-568. https://doi.org/10.1111/apt.17835 PMID: 38100159
183. Morales-Berstein F, Biessy C, Viallon V, Goncalves-Soares A, Casagrande C, Hemon B, et al. (2024). Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis. Eur J Nutr. 63(2): 377-396. https://doi.org/10.1007/s00394-023-03270-1 PMID: 37989797
184. Mori N, Murphy N, Sawada N, Achaintre D, Yamaji T, Scalbert A, et al. (2024). Reproducibility and dietary correlates of plasma polyphenols in the JPHC-NEXT Protocol Area study. Eur J Clin Nutr. 78(1): 34-42. https://doi.org/10.1038/s41430-023-01349-w PMID: 37891229
185. Muli S, Blumenthal A, Conzen CA, Benz ME, Alexy U, Schmid M, et al. (2024). Association of Ultraprocessed Foods Intake with Untargeted Metabolomics Profiles in Adolescents and Young Adults in the DONALD Cohort Study. J Nutr. 154(11): 3255-3265. https://doi.org/10.1016/j.tjnut.2024.09.023 PMID: 39332770
186. Muli S, Schnermann ME, Merdas M, Rattner J, Achaintre D, Perrar I, et al. (2024). Metabolomics signatures of sweetened beverages and added sugar are related to anthropometric measures of adiposity in young individuals: results from a cohort study. Am J Clin Nutr. 120(4): 879-890. https://doi.org/10.1016/j.ajcnut.2024.07.021 PMID: 39059709
187. Noh H, Anota A, Mongondry R, Meyrand R, Dupuis C, Schiffler C, et al. (2024). Impact of a one-year supervised physical activity program on long-term cancer-related fatigue and mediating effects of the gut microbiota in metastatic testicular cancer patients: protocol of the prospective multicentre, randomized controlled phase-III STARTER trial. BMC Cancer. 24(1): 84. https://doi.org/10.1186/s12885-024-11824-7 PMID: 38225551
188. Noh H, Lee J, Seyed Khoei N, Peruchet-Noray L, Kang D, Fervers B, et al. (2024). Serum bilirubin levels and risk of colorectal cancer in Korean adults: results from the Korean Genome and Epidemiology Study-Health Examinee (KoGES-HEXA) Cohort Study. Br J Cancer. 131(10): 1635-1643. https://doi.org/10.1038/s41416-024-02847-9 PMID: 39379570
189. O’Grady TJ, Rinaldi S, Michels KA, Adami HO, Buring JE, Chen Y, et al. (2024). Association of hormonal and reproductive factors with differentiated thyroid cancer risk in women: a pooled prospective cohort analysis. Int J Epidemiol. 53(1). https://doi.org/10.1093/ije/dyad172 PMID: 38110618
190. Oyelere AM, Kok DE, Bos D, Gunter MJ, Ferrari P, Keski-Rahkonen P, et al. (2024). Coffee consumption is associated with a reduced risk of colorectal cancer recurrence and all-cause mortality. Int J Cancer. 154(12): 2054-2063. https://doi.org/10.1002/ijc.34879 PMID: 38346920
191. Papadimitriou N, Kazmi N, Dimou N, Tsilidis KK, Martin RM, Lewis SJ, et al. (2024). Leisure time television watching, computer use and risks of breast, colorectal and prostate cancer: A Mendelian randomisation analysis. Cancer Med. 13(1): e6732. https://doi.org/10.1002/cam4.6732 PMID: 38155458
192. Papadimitriou N, Kim A, Kawaguchi ES, Morrison J, Diez-Obrero V, Albanes D, et al. (2024). Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer. EBioMedicine. 104: 105146. https://doi.org/10.1016/j.ebiom.2024.105146 PMID: 38749303
193. Papadimitriou N, Qu C, Harrison TA, Bever AM, Martin RM, Tsilidis KK, et al. (2024). Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses. EBioMedicine. 101: 105010. https://doi.org/10.1016/j.ebiom.2024.105010 PMID: 38350331
194. Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, et al. (2024). Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer. Sci Adv. 10(16): eadj1987. https://doi.org/10.1126/sciadv.adj1987 PMID: 38640244
195. Pham TT, Nimptsch K, Aleksandrova K, Jenab M, Fedirko V, Wu K, et al. (2024). Pre-diagnostic circulating resistin concentrations and mortality among individuals with colorectal cancer: Results from the European Prospective Investigation into Cancer and Nutrition study. Int J Cancer. 154(9): 1596-1606. https://doi.org/10.1002/ijc.34830 PMID: 38200695
196. Rauber F, Laura da Costa Louzada M, Chang K, Huybrechts I, Gunter MJ, Monteiro CA, et al. (2024). Implications of food ultra-processing on cardiovascular risk considering plant origin foods: an analysis of the UK Biobank cohort. Lancet Reg Health Eur. 43: 100948. https://doi.org/10.1016/j.lanepe.2024.100948 PMID: 39210945
197. Ren X, Nicolas G, Frenoy P, Papier K, Moreno-Iribas C, Masala G, et al. (2024). Non-dioxin-like polychlorinated biphenyls (NDL-PCBs) dietary exposure is associated with an increased risk of type 2 diabetes in the European prospective investigation into cancer and nutrition (EPIC) cohort. Diabetes Metab. 50(6): 101587. https://doi.org/10.1016/j.diabet.2024.101587 PMID: 39521120
198. Rinaldi S, Dossus L, Keski-Rahkonen P, Kiss A, Navionis AS, Biessy C, et al. (2024). Circulating endogenous sex steroids and risk of differentiated thyroid carcinoma in men and women. Int J Cancer. 154(12): 2064-2074. https://doi.org/10.1002/ijc.34872 PMID: 38357914
199. Rontogianni MO, Bouras E, Aglago EK, Freisling H, Murphy N, Cotterchio M, et al. (2024). Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis. Int J Obes (Lond). 48(5): 709-716. https://doi.org/10.1038/s41366-024-01479-6 PMID: 38297030
200. Salame C, Javaux G, Sellem L, Viennois E, de Edelenyi FS, Agaesse C, et al. (2024). Food additive emulsifiers and the risk of type 2 diabetes: analysis of data from the NutriNet-Sante prospective cohort study. Lancet Diabetes Endocrinol. 12(5): 339-349. https://doi.org/10.1016/S2213-8587(24)00086-X PMID: 38663950
201. Sellem L, Srour B, Javaux G, Chazelas E, Chassaing B, Viennois E, et al. (2024). Food additive emulsifiers and cancer risk: Results from the French prospective NutriNet-Sante cohort. PLoS Med. 21(2): e1004338. https://doi.org/10.1371/journal.pmed.1004338 PMID: 38349899
202. Senkin S, Moody S, Diaz-Gay M, Abedi-Ardekani B, Cattiaux T, Ferreiro-Iglesias A, et al. (2024). Geographic variation of mutagenic exposures in kidney cancer genomes. Nature. 629(8013): 910-918. https://doi.org/10.1038/s41586-024-07368-2 PMID: 38693263
203. Seyyedsalehi MS, Hadji M, Collatuzzo G, Rashidian H, Sasanfar B, Huybrechts I, et al. (2024). Role of dietary intake of specific polyunsaturated fatty acids (PUFAs) on colorectal cancer risk in Iran. Lipids. 59(2): 41-53. https://doi.org/10.1002/lipd.12386 PMID: 38287648
204. Sohi I, Rehm J, Saab M, Virmani L, Franklin A, Sanchez G, et al. (2024). Alcoholic beverage consumption and female breast cancer risk: A systematic review and meta-analysis of prospective cohort studies. Alcohol Clin Exp Res (Hoboken). 48(12): 2222-2241. https://doi.org/10.1111/acer.15493 PMID: 39581746
205. Stein MJ, Baurecht H, Bohmann P, Fervers B, Fontvieille E, Freisling H, et al. (2024). Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank. BMC Med. 22(1): 399. https://doi.org/10.1186/s12916-024-03632-4 PMID: 39289682
206. Stepien M, Duarte-Salles T, Fedirko V, Trichopoulou A, Lagiou P, Bamia C, et al. (2024). Correction to: Consumption of soft drinks and juices and risk of liver and biliary tract cancers in a European cohort. Eur J Nutr. 63(4): 1389-1391. https://doi.org/10.1007/s00394-024-03374-2 PMID: 38630305
207. Stern MC, Sanchez Mendez J, Kim AE, Obon-Santacana M, Moratalla-Navarro F, Martin V, et al. (2024). Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev. 33(3): 400-410. https://doi.org/10.1158/1055-9965.EPI-23-0717 PMID: 38112776
208. Thomas CE, Georgeson P, Qu C, Steinfelder RS, Buchanan DD, Song M, et al. (2024). Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature. Cancer Epidemiol Biomarkers Prev. 33(4): 534-546. https://doi.org/10.1158/1055-9965.EPI-23-0600 PMID: 38252034
209. Tian Y, Lin Y, Qu C, Arndt V, Baurley JW, Berndt SI, et al. (2024). Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk. Br J Cancer. 130(10): 1687-1696. https://doi.org/10.1038/s41416-024-02638-2 PMID: 38561434
210. Timmins IR, Jones ME, O’Brien KM, Adami HO, Aune D, Baglietto L, et al. (2024). International Pooled Analysis of Leisure-Time Physical Activity and Premenopausal Breast Cancer in Women From 19 Cohorts. J Clin Oncol. 42(8): 927-939. https://doi.org/10.1200/JCO.23.01101 PMID: 38079601
211. Tin Tin S, Smith-Byrne K, Ferrari P, Rinaldi S, McCullough ML, Teras LR, et al. (2024). Alcohol intake and endogenous sex hormones in women: Meta-analysis of cohort studies and Mendelian randomization. Cancer. 130(19): 3375-3386. https://doi.org/10.1002/cncr.35391 PMID: 38824654
212. Tong TYN, Clarke R, Schmidt JA, Huybrechts I, Noor U, Forouhi NG, et al. (2024). Dietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries. Eur J Nutr. 63(1): 209-220. https://doi.org/10.1007/s00394-023-03251-4 PMID: 37804448
213. Tsilidis KK, Markozannes G, Becerra-Tomas N, Cariolou M, Balducci K, Vieira R, et al. (2024). Post-diagnosis adiposity, physical activity, sedentary behaviour, dietary factors, supplement use and colorectal cancer prognosis: Global Cancer Update Programme (CUP Global) summary of evidence grading. Int J Cancer. 155(3): 471-485. https://doi.org/10.1002/ijc.34904 PMID: 38692587
214. Viallon V, Freisling H, Matta K, Nannsen AO, Dahm CC, Tjonneland A, et al. (2024). On the use of the healthy lifestyle index to investigate specific disease outcomes. Sci Rep. 14(1): 16330. https://doi.org/10.1038/s41598-024-66772-w PMID: 39009699
215. Von Holle A, Adami HO, Baglietto L, Berrington de Gonzalez A, Bertrand KA, Blot W, et al. (2024). BMI and breast cancer risk around age at menopause. Cancer Epidemiol. 89: 102545. https://doi.org/10.1016/j.canep.2024.102545 PMID: 38377945
216. Wang SE, Viallon V, Lee M, Dimou N, Hamilton F, Biessy C, et al. (2024). Circulating inflammatory and immune response proteins and endometrial cancer risk: a nested case-control study and Mendelian randomization analyses. EBioMedicine. 108: 105341. https://doi.org/10.1016/j.ebiom.2024.105341 PMID: 39278107
217. Wesselink E, Gauderman W, Berndt SI, Brenner H, Buchanan DD, Campbell PT, et al. (2024). Calcium intake and genetic variants in the calcium sensing receptor in relation to colorectal cancer mortality: an international consortium study of 18,952 patients. BJC Rep. 2(1): 63. https://doi.org/10.1038/s44276-024-00077-3 PMID: 39233917
218. Yarmolinsky J, Robinson JW, Mariosa D, Karhunen V, Huang J, Dimou N, et al. (2024). Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. EBioMedicine. 100: 104991. https://doi.org/10.1016/j.ebiom.2024.104991 PMID: 38301482
219. Zheng JS, Steur M, Imamura F, Freisling H, Johnson L, van der Schouw YT, et al. (2024). Dietary intake of plant- and animal-derived protein and incident cardiovascular diseases: the pan-European EPIC-CVD case-cohort study. Am J Clin Nutr. 119(5): 1164-1174. https://doi.org/10.1016/j.ajcnut.2024.03.006 PMID: 38479550
220. Aglago EK, Cross AJ, Riboli E, Fedirko V, Hughes DJ, Fournier A, et al. (2023). Dietary intake of total, heme and non-heme iron and the risk of colorectal cancer in a European prospective cohort study. Br J Cancer. 128(8): 1529-1540. https://doi.org/10.1038/s41416-023-02164-7 PMID: 36759722
221. Aglago EK, Kim A, Lin Y, Qu C, Evangelou M, Ren Y, et al. (2023). A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk. Cancer Res. 83(15): 2572-2583. https://doi.org/10.1158/0008-5472.CAN-22-3713 PMID: 37249599
222. Alcala K, Poustchi H, Viallon V, Islami F, Pourshams A, Sadjadi A, et al. (2023). Incident cancers attributable to using opium and smoking cigarettes in the Golestan cohort study. EClinicalMedicine. 64: 102229. https://doi.org/10.1016/j.eclinm.2023.102229 PMID: 37781157
223. Alcolea JA, Donat-Vargas C, Chatziioannou AC, Keski-Rahkonen P, Robinot N, Molina AJ, et al. (2023). Metabolomic Signatures of Exposure to Nitrate and Trihalomethanes in Drinking Water and Colorectal Cancer Risk in a Spanish Multicentric Study (MCC-Spain). Environ Sci Technol. 57(48): 19316-19329. https://doi.org/10.1021/acs.est.3c05814 PMID: 37962559
224. Alfano R, Zugna D, Barros H, Bustamante M, Chatzi L, Ghantous A, et al. (2023). Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth. BMC Med. 21(1): 17. https://doi.org/10.1186/s12916-022-02685-7 PMID: 36627699
225. Allione A, Viberti C, Cotellessa I, Catalano C, Casalone E, Cugliari G, et al. (2023). Blood cell DNA methylation biomarkers in preclinical malignant pleural mesothelioma: The EPIC prospective cohort. Int J Cancer. 152(4): 725-737. https://doi.org/10.1002/ijc.34339 PMID: 36305648
226. Almanza-Aguilera E, Davila-Cordova E, Guinon-Fort D, Farras M, Masala G, Santucci de Magistris M, et al. (2023). Correlation Analysis between Dietary Intake of Tyrosols and Their Food Sources and Urinary Excretion of Tyrosol and Hydroxytyrosol in a European Population. Antioxidants (Basel). 12(3). https://doi.org/10.3390/antiox12030715 PMID: 36978963
227. Aune D, Mahamat-Saleh Y, Kobeissi E, Feng T, Heath AK, Janszky I (2023). Blood pressure, hypertension and the risk of atrial fibrillation: a systematic review and meta-analysis of cohort studies. Eur J Epidemiol. 38(2): 145-178. https://doi.org/10.1007/s10654-022-00914-0 PMID: 36626102
228. Aune D, Schlesinger S, Mahamat-Saleh Y, Zheng B, Udeh-Momoh CT, Middleton LT (2023). Diabetes mellitus, prediabetes and the risk of Parkinson’s disease: a systematic review and meta-analysis of 15 cohort studies with 29.9 million participants and 86,345 cases. Eur J Epidemiol. 38(6): 591-604. https://doi.org/10.1007/s10654-023-00970-0 PMID: 37185794
229. Ballout N, Etievant L, Viallon VJ (2023). On the use of cross-validation for the calibration of the adaptive lasso. Biom J. 65(5): e2200047. https://doi.org/10.1002/bimj.202200047 PMID: 36960476
230. Becerra-Tomas N, Balducci K, Abar L, Aune D, Cariolou M, Greenwood DC, et al. (2023). Postdiagnosis dietary factors, supplement use and breast cancer prognosis: Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer. 152(4): 616-634. https://doi.org/10.1002/ijc.34321 PMID: 36279902
231. Bennett M, Pistillo A, Recalde M, Reyes C, Freisling H, Duarte-Salles T (2023). Time trends in the incidence of cardiovascular disease, hypertension and diabetes by sex and socioeconomic status in Catalonia, Spain: a population-based cohort study. BMJ Open. 13(5): e066404. https://doi.org/10.1136/bmjopen-2022-066404 PMID: 37225269
232. Blanco-Lopez J, Iguacel I, Pisanu S, Almeida CCB, Steliarova-Foucher E, Sierens C, et al. (2023). Role of Maternal Diet in the Risk of Childhood Acute Leukemia: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 20(7): 5428. https://doi.org/10.3390/ijerph20075428 PMID: 37048042
233. Bolling BW, Aune D, Noh H, Petersen KS, Freisling H (2023). Dried Fruits, Nuts, and Cancer Risk and Survival: A Review of the Evidence and Future Research Directions. Nutrients. 15(6): 1443. https://doi.org/10.3390/nu15061443 PMID: 36986173
234. Bonet C, Crous-Bou M, Tsilidis KK, Gunter MJ, Kaaks R, Schulze MB, et al. (2023). The association between body fatness and mortality among breast cancer survivors: results from a prospective cohort study. Eur J Epidemiol. 38(5): 545-557. https://doi.org/10.1007/s10654-023-00979-5 PMID: 36988840
235. Botteri E, Peveri G, Berstad P, Bagnardi V, Chen SLF, Sandanger TM, et al. (2023). Changes in Lifestyle and Risk of Colorectal Cancer in the European Prospective Investigation Into Cancer and Nutrition. Am J Gastroenterol. 118(4): 702-711. https://doi.org/10.14309/ajg.0000000000002065 PMID: 36227801
236. Bouras E, Kim AE, Lin Y, Morrison J, Du M, Albanes D, et al. (2023). Genome-wide interaction analysis of folate for colorectal cancer risk. Am J Clin Nutr. 118(5): 881-891. https://doi.org/10.1016/j.ajcnut.2023.08.010 PMID: 37640106
237. Bull C, Hazelwood E, Bell JA, Tan V, Constantinescu AE, Borges C, et al. (2023). Identifying metabolic features of colorectal cancer liability using Mendelian randomization. Elife. 12: 26. https://doi.org/10.7554/eLife.87894 PMID: 38127078
238. Cacau LT, Hanley-Cook GT, Huybrechts I, De Henauw S, Kersting M, Gonzalez-Gross M, et al. (2023). Relative validity of the Planetary Health Diet Index by comparison with usual nutrient intakes, plasma food consumption biomarkers, and adherence to the Mediterranean diet among European adolescents: the HELENA study. Eur J Nutr. 62(6): 2527-2539. https://doi.org/10.1007/s00394-023-03171-3 PMID: 37171585
239. Cairat M, Pottegard A, Olesen M, Dossus L, Fournier A, Hicks B (2023). Antiplatelet drugs and breast cancer risk in a large nationwide Danish case-control study. Int J Cancer. 152(7): 1337-1347. https://doi.org/10.1002/ijc.34343 PMID: 36346115
240. Cariolou M, Abar L, Aune D, Balducci K, Becerra-Tomas N, Greenwood DC, et al. (2023). Postdiagnosis recreational physical activity and breast cancer prognosis: Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer. 152(4): 600-615. https://doi.org/10.1002/ijc.34324 PMID: 36279903
241. Carreras-Torres R, Kim AE, Lin Y, Diez-Obrero V, Bien SA, Qu C, et al. (2023). Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response. Cancer Epidemiol Biomarkers Prev. 32(3): 315-328. https://doi.org/10.1158/1055-9965.EPI-22-0763 PMID: 36576985
242. Castaneda J, Gil-Lespinard M, Almanza-Aguilera E, Llaha F, Gomez JH, Bondonno N, et al. (2023). Association between classes and subclasses of polyphenol intake and 5-year body weight changes in the EPIC-PANACEA study. Obesity (Silver Spring). 31(4): 1146-1158. https://doi.org/10.1002/oby.23689 PMID: 36693804
243. Castro-Espin C, Bonet C, Crous-Bou M, Katzke V, Le Cornet C, Jannasch F, et al. (2023). Dietary patterns related to biological mechanisms and survival after breast cancer diagnosis: results from a cohort study. Br J Cancer. 128(7): 1301-1310. https://doi.org/10.1038/s41416-023-02169-2 PMID: 36737658
244. Castro-Espin C, Bonet C, Crous-Bou M, Nadal-Zaragoza N, Tjonneland A, Mellemkjaer L, et al. (2023). Association of Mediterranean diet with survival after breast cancer diagnosis in women from nine European countries: results from the EPIC cohort study. BMC Med. 21(1): 225. https://doi.org/10.1186/s12916-023-02934-3 PMID: 37365585
245. Chaby LE, Lasseter HC, Contrepois K, Salek RM, Turck CW, Thompson A, et al. (2023). Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. Metabolites. 13(8): 9. https://doi.org/10.3390/metabo13080933 PMID: 37623909
246. Chan DSM, Vieira R, Abar L, Aune D, Balducci K, Cariolou M, et al. (2023). Postdiagnosis body fatness, weight change and breast cancer prognosis: Global Cancer Update Program (CUP global) systematic literature review and meta-analysis. Int J Cancer. 152(4): 572-599. https://doi.org/10.1002/ijc.34322 PMID: 36279884
247. Chang K, Gunter MJ, Rauber F, Levy RB, Huybrechts I, Kliemann N, et al. (2023). Ultra-processed food consumption, cancer risk and cancer mortality: a large-scale prospective analysis within the UK Biobank. EClinicalMedicine. 56: 101840. https://doi.org/10.1016/j.eclinm.2023.101840 PMID: 36880051
248. Chapagain R, Giri B, Bhattarai T, Dhungana J, Walters M, Damasco E, et al. (2023). A cross-sectional study evaluating the prevalence and predictors of malnutrition among children and adolescents visiting an urban academic hospital in Nepal. Public Health Nutr. 26(12): 2738-2747. https://doi.org/10.1017/S136898002300188X PMID: 37811557
249. Chen SLF, Nost TH, Botteri E, Ferrari P, Braaten T, Sandanger TM, et al. (2023). Overall lifestyle changes in adulthood are associated with cancer incidence in the Norwegian Women and Cancer Study (NOWAC) – a prospective cohort study. BMC Public Health. 23(1): 633. https://doi.org/10.1186/s12889-023-15476-3 PMID: 37013506
250. Christakoudi S, Tsilidis KK, Dossus L, Rinaldi S, Weiderpass E, Antoniussen CS, et al. (2023). A body shape index (ABSI) is associated inversely with post-menopausal progesterone-receptor-negative breast cancer risk in a large European cohort. BMC Cancer. 23(1): 562. https://doi.org/10.1186/s12885-023-11056-1 PMID: 37337133
251. Clasen JL, Mabunda R, Heath AK, Kaaks R, Katzke V, Schulze MB, et al. (2023). Reproductive and hormonal factors and risk of renal cell carcinoma among women in the European Prospective Investigation into Cancer and Nutrition. Cancer Med. 12(14): 15588-15600. https://doi.org/10.1002/cam4.6207 PMID: 37269199
252. Collaboration NCDRF (2023). Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med. 29(11): 2885-2901. https://doi.org/10.1038/s41591-023-02610-2 PMID: 37946056
253. Collaboration NCDRF (2023). Diminishing benefits of urban living for children and adolescents’ growth and development. Nature. 615(7954): 874-883. https://doi.org/10.1038/s41586-023-05772-8 PMID: 36991188
254. Cross AJ, Gunter MJ (2023). Ultra-processed foods and colorectal neoplasia: is there a link? J Natl Cancer Inst. 115(2): 117-119. https://doi.org/10.1093/jnci/djac222 PMID: 36478262
255. Davey Smith G, Hofman A, Brennan PD (2023). Chance, ignorance, and the paradoxes of cancer: Richard Peto on developing preventative strategies under uncertainty. Eur J Epidemiol. 38(12): 1227-1237. https://doi.org/10.1007/s10654-023-01090-5 PMID: 38147198
256. Debras C, Deschasaux-Tanguy M, Chazelas E, Sellem L, Druesne-Pecollo N, Esseddik Y, et al. (2023). Artificial Sweeteners and Risk of Type 2 Diabetes in the Prospective NutriNet-Sante Cohort. Diabetes Care. 46(9): 1681-1690. https://doi.org/10.2337/dc23-0206 PMID: 37490630
257. Dimou N, Kim AE, Flanagan O, Murphy N, Diez-Obrero V, Shcherbina A, et al. (2023). Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses. Br J Cancer. 129(3): 511-520. https://doi.org/10.1038/s41416-023-02312-z PMID: 37365285
258. Ersoy Guller Z, Harewood RN, Weiderpass E, Huybrechts I, Jenab M, Huerta JM, et al. (2023). Diet and lifestyle in relation to small intestinal cancer risk: findings from the European Prospective Investigation into Cancer and Nutrition (EPIC). Cancer Causes Control. 34(10): 927-937. https://doi.org/10.1007/s10552-023-01731-w PMID: 37330982
259. Fernandez-Rozadilla C, Timofeeva M, Chen Z, Law P, Thomas M, Schmit S, et al. (2023). Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. Nat Genet. 55(1): 89-99. https://doi.org/10.1038/s41588-022-01222-9 PMID: 36539618
260. Fernandez-Rozadilla C, Timofeeva M, Chen Z, Law P, Thomas M, Schmit S, et al. (2023). Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. Nat Genet. 55(3): 519-520. https://doi.org/10.1038/s41588-023-01334-w PMID: 36782065
261. Flieh SM, Miguel-Berges ML, Huybrechts I, Breidenassel C, Grammatikaki E, Donne CL, et al. (2023). Food portion sizes and their relationship with energy, and nutrient intakes in adolescents: The HELENA study. Nutrition. 106: 111893. https://doi.org/10.1016/j.nut.2022.111893 PMID: 36462317
262. Fontvieille E, Viallon V, Recalde M, Cordova R, Jansana A, Peruchet-Noray L, et al. (2023). Body mass index and cancer risk among adults with and without cardiometabolic diseases: evidence from the EPIC and UK Biobank prospective cohort studies. BMC Med. 21(1): 418. https://doi.org/10.1186/s12916-023-03114-z PMID: 37993940
263. Fournier A, Cairat M, Severi G, Gunter MJ, Rinaldi S, Dossus L (2023). Use of menopausal hormone therapy and ovarian cancer risk in a French cohort study. J Natl Cancer Inst. 115(6): 671-679. https://doi.org/10.1093/jnci/djad035 PMID: 36809347
264. Glenn AJ, Aune D, Freisling H, Mohammadifard N, Kendall CWC, Salas-Salvado J, et al. (2023). Nuts and Cardiovascular Disease Outcomes: A Review of the Evidence and Future Directions. Nutrients. 15(4): 911. https://doi.org/10.3390/nu15040911 PMID: 36839269
265. Hanley-Cook GT, Daly AJ, Remans R, Jones AD, Murray KA, Huybrechts I, et al. (2023). Food biodiversity: Quantifying the unquantifiable in human diets. Crit Rev Food Sci Nutr. 63(25): 7837-7851. https://doi.org/10.1080/10408398.2022.2051163 PMID: 35297716
266. Harbs J, Rinaldi S, Keski-Rahkonen P, Liu X, Palmqvist R, Van Guelpen B, et al. (2023). An epigenome-wide analysis of sex hormone levels and DNA methylation in male blood samples. Epigenetics. 18(1): 2196759. https://doi.org/10.1080/15592294.2023.2196759 PMID: 36994855
267. Hatcher C, Richenberg G, Waterson S, Nguyen LH, Joshi AD, Carreras-Torres R, et al. (2023). Application of Mendelian randomization to explore the causal role of the human gut microbiome in colorectal cancer. Sci Rep. 13(1): 5968. https://doi.org/10.1038/s41598-023-31840-0 PMID: 37045850
268. Haycock PC, Borges MC, Burrows K, Lemaitre RN, Burgess S, Khankari NK, et al. (2023). The association between genetically elevated polyunsaturated fatty acids and risk of cancer. EBioMedicine. 91: 104510. https://doi.org/10.1016/j.ebiom.2023.104510 PMID: 37086649
269. Haycock PC, Borges MC, Burrows K, Lemaitre RN, Harrison S, Burgess S, et al. (2023). Design and quality control of large-scale two-sample Mendelian randomization studies. Int J Epidemiol. 52(5): 1498-1521. https://doi.org/10.1093/ije/dyad018 PMID: 38587501
270. Hughes DJ, Schomburg L, Jenab M, Biessy C, Meplan C, Moskal A, et al. (2023). Prediagnostic selenium status, selenoprotein gene variants and association with breast cancer risk in a European cohort study. Free Radic Biol Med. 209(Pt 2): 381-393. https://doi.org/10.1016/j.freeradbiomed.2023.10.401 PMID: 37923090
271. Huybrechts I, Jacobs I, Aglago EK, Yammine S, Matta M, Schmidt JA, et al. (2023). Associations between Fatty Acid Intakes and Plasma Phospholipid Fatty Acid Concentrations in the European Prospective Investigation into Cancer and Nutrition. Nutrients. 15(17). https://doi.org/10.3390/nu15173695 PMID: 37686727
272. Huybrechts I, Rauber F, Nicolas G, Casagrande C, Kliemann N, Wedekind R, et al. (2023). Corrigendum: Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: application of the Nova classification and validation using selected biomarkers of food processing. Front Nutr. 10: 1207555. https://doi.org/10.3389/fnut.2023.1207555 PMID: 37260516
273. Karavasiloglou N, Hughes DJ, Murphy N, Schomburg L, Sun Q, Seher V, et al. (2023). Prediagnostic serum calcium concentrations and risk of colorectal cancer development in 2 large European prospective cohorts. Am J Clin Nutr. 117(1): 33-45. https://doi.org/10.1016/j.ajcnut.2022.10.004 PMID: 36789942
274. Kenkhuis MF, Klingestijn M, Fanshawe AM, Breukink SO, Janssen-Heijnen MLG, Keulen ETP, et al. (2023). Longitudinal associations of sedentary behavior and physical activity with body composition in colorectal cancer survivors up to 2 years post treatment. J Cancer Res Clin Oncol. 149(7): 4063-4075. https://doi.org/10.1007/s00432-022-04267-9 PMID: 36040665
275. King SD, Veliginti S, Brouwers M, Ren Z, Zheng W, Setiawan VW, et al. (2023). Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiol Biomarkers Prev. 32(9): 1265-1269. https://doi.org/10.1158/1055-9965.EPI-23-0453 PMID: 37351909
276. Kintossou AK, Blanco-Lopez J, Iguacel I, Pisanu S, Almeida CCB, Steliarova-Foucher E, et al. (2023). Early Life Nutrition Factors and Risk of Acute Leukemia in Children: Systematic Review and Meta-Analysis. Nutrients. 15(17): 15. https://doi.org/10.3390/nu15173775 PMID: 37686807
277. Kliemann N, Rauber F, Bertazzi Levy R, Viallon V, Vamos EP, Cordova R, et al. (2023). Food processing and cancer risk in Europe: results from the prospective EPIC cohort study. Lancet Planet Health. 7(3): e219-e232. https://doi.org/10.1016/S2542-5196(23)00021-9 PMID: 36889863
278. Knaze V, Freisling H, Cook P, Heise K, Acevedo J, Cikutovic M, et al. (2023). Association between salt intake and gastric atrophy by Helicobacter pylori infection: first results from the Epidemiological Investigation of Gastric Malignancy (ENIGMA). Eur J Nutr. 62(5): 2129-2138. https://doi.org/10.1007/s00394-023-03132-w PMID: 36964250
279. Koistinen V, Karkkainen O, Keski-Rahkonen P, Tsugawa H, Scalbert A, Arita M, et al. (2023). Towards a Rosetta stone for metabolomics: recommendations to overcome inconsistent metabolite nomenclature. Nat Metab. 5(3): 351-354. https://doi.org/10.1038/s42255-023-00757-3 PMID: 36890347
280. Laanani M, Viallon V, Coste J, Rey G (2023). Collider and reporting biases involved in the analyses of cause of death associations in death certificates: an illustration with cancer and suicide. Popul Health Metr. 21(1): 21. https://doi.org/10.1186/s12963-023-00320-y PMID: 38098030
281. Lecuyer L, Laouali N, Viallon V, Artaud F, Hebert JR, Shivappa N, et al. (2023). Associations between dietary inflammatory scores and biomarkers of inflammation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Clin Nutr. 42(7): 1115-1125. https://doi.org/10.1016/j.clnu.2023.05.012 PMID: 37271707
282. Levi H, Carmi S, Rosset S, Yerushalmi R, Zick A, Yablonski-Peretz T, et al. (2023). Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel. J Med Genet. 60(12): 1186-1197. https://doi.org/10.1136/jmg-2023-109185 PMID: 37451831
283. Li M, Park JY, Sheikh M, Kayamba V, Rumgay H, Jenab M, et al. (2023). Population-based investigation of common and deviating patterns of gastric cancer and oesophageal cancer incidence across populations and time. Gut. 72(5): 846-854. https://doi.org/10.1136/gutjnl-2022-328233 PMID: 36241389
284. Lindstrom S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, et al. (2023). Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. J Natl Cancer Inst. 115(6): 712-732. https://doi.org/10.1093/jnci/djad043 PMID: 36929942
285. Loding S, Andersson U, Kaaks R, Schulze MB, Pala V, Urbarova I, et al. (2023). Altered plasma metabolite levels can be detected years before a glioma diagnosis. JCI Insight. 8(19): e171225. https://doi.org/10.1172/jci.insight.171225 PMID: 37651185
286. Macciotta A, Catalano A, Giraudo MT, Weiderpass E, Ferrari P, Freisling H, et al. (2023). Mediating Role of Lifestyle Behaviors in the Association between Education and Cancer: Results from the European Prospective Investigation into Cancer and Nutrition. Cancer Epidemiol Biomarkers Prev. 32(1): 132-140. https://doi.org/10.1158/1055-9965.EPI-22-0777 PMID: 36306379
287. Mahamat-Saleh Y, Al-Rahmoun M, Severi G, Ghiasvand R, Veierod MB, Caini S, et al. (2023). Baseline and lifetime alcohol consumption and risk of skin cancer in the European Prospective Investigation into Cancer and Nutrition cohort (EPIC). Int J Cancer. 152(3): 348-362. https://doi.org/10.1002/ijc.34253 PMID: 36053839
288. Mahamat-Saleh Y, Rinaldi S, Kaaks R, Biessy C, Gonzalez-Gil EM, Murphy N, et al. (2023). Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition. Cancer Med. 12(11): 12668-12682. https://doi.org/10.1002/cam4.5896 PMID: 37096432
289. Mao Z, Baker JR, Takeuchi M, Hyogo H, Tjonneland A, Eriksen AK, et al. (2023). Prediagnostic serum glyceraldehyde-derived advanced glycation end products and mortality among colorectal cancer patients. Int J Cancer. 152(11): 2257-2268. https://doi.org/10.1002/ijc.34449 PMID: 36715363
290. Martinez-Steele E, Khandpur N, Batis C, Bes-Rastrollo M, Bonaccio M, Cediel G, et al. (2023). Best practices for applying the Nova food classification system. Nat Food. 4(6): 445-448. https://doi.org/10.1038/s43016-023-00779-w PMID: 37264165
291. Meyer A, Dong C, Casagrande C, Chan SSM, Huybrechts I, Nicolas G, et al. (2023). Food Processing and Risk of Crohn’s Disease and Ulcerative Colitis: A European Prospective Cohort Study. Clin Gastroenterol Hepatol. 21(6): 1607-1616 e1606. https://doi.org/10.1016/j.cgh.2022.09.031 PMID: 36243353
292. Middha P, Wang X, Behrens S, Bolla MK, Wang Q, Dennis J, et al. (2023). A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. Breast Cancer Res. 25(1): 93. https://doi.org/10.1186/s13058-023-01691-8 PMID: 37559094
293. Moradell A, Santaliestra-Pasias AM, Aparicio-Ugarriza R, Huybrechts I, Bertalanne Szommer A, Forsner M, et al. (2023). Are Physical Activity and Sedentary Screen Time Levels Associated With Food Consumption in European Adolescents? The HELENA Study. J Am Nutr Assoc. 42(1): 55-66. https://doi.org/10.1080/07315724.2021.1978900 PMID: 35512776
294. Mueller SH, Lai AG, Valkovskaya M, Michailidou K, Bolla MK, Wang Q, et al. (2023). Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry. Genome Med. 15(1): 7. https://doi.org/10.1186/s13073-022-01152-5 PMID: 36703164
295. Murphy N, Newton CC, Song M, Papadimitriou N, Hoffmeister M, Phipps AI, et al. (2023). Body mass index and molecular subtypes of colorectal cancer. J Natl Cancer Inst. 115(2): 165-173. https://doi.org/10.1093/jnci/djac215 PMID: 36445035
296. Neveu V, Nicolas G, Amara A, Salek RM, Scalbert A (2023). The human microbial exposome: expanding the Exposome-Explorer database with gut microbial metabolites. Sci Rep. 13(1): 1946. https://doi.org/10.1038/s41598-022-26366-w PMID: 36732606
297. Nimptsch K, Aleksandrova K, Pham TT, Papadimitriou N, Janke J, Christakoudi S, et al. (2023). Prospective and Mendelian randomization analyses on the association of circulating fatty acid binding protein 4 (FABP-4) and risk of colorectal cancer. BMC Med. 21(1): 391. https://doi.org/10.1186/s12916-023-03104-1 PMID: 37833736
298. Oosterwegel MJ, Ibi D, Portengen L, Probst-Hensch N, Tarallo S, Naccarati A, et al. (2023). Variability of the Human Serum Metabolome over 3 Months in the EXPOsOMICS Personal Exposure Monitoring Study. Environ Sci Technol. 57(34): 12752-12759. https://doi.org/10.1021/acs.est.3c03233 PMID: 37582220
299. Orfanidis A, Gika H, Theodoridis G, Chatziioannou AC, Raikos N (2023). Analysis, Stability and Distribution of Pharmaceuticals and Drugs of Abuse over a Period of One Year in Formalin-Fixed Liver and Formalin Solutions. J Anal Toxicol. 47(2): 182-190. https://doi.org/10.1093/jat/bkac060 PMID: 35957494
300. Ose J, Gigic B, Brezina S, Lin T, Peoples AR, Schobert PP, et al. (2023). Higher Plasma Creatinine Is Associated with an Increased Risk of Death in Patients with Non-Metastatic Rectal but Not Colon Cancer: Results from an International Cohort Consortium. Cancers (Basel). 15(13): 15. https://doi.org/10.3390/cancers15133391 PMID: 37444500
301. Papadimitriou N, Bull CJ, Jenab M, Hughes DJ, Bell JA, Sanderson E, et al. (2023). Separating the effects of early and later life adiposity on colorectal cancer risk: a Mendelian randomization study. BMC Med. 21(1): 5. https://doi.org/10.1186/s12916-022-02702-9 PMID: 36600297
302. Papadimitriou N, Kazmi N, Dimou N, Tsilidis KK, Martin RM, Lewis SJ, et al. (2023). Leisure time television watching, computer use and risks of breast, colorectal and prostate cancer: A Mendelian randomisation analysis. Cancer Med. 13(1): 18. https://doi.org/10.1002/cam4.6732 PMID: 38155458
303. Parmenter BH, Dalgaard F, Murray K, Marquis-Gravel G, Cassidy A, Bondonno CP, et al. (2023). Intake of dietary flavonoids and incidence of ischemic heart disease in the Danish Diet, Cancer, and Health cohort. Eur J Clin Nutr. 77(2): 270-277. https://doi.org/10.1038/s41430-022-01226-y PMID: 36284213
304. Pasqual E, O’Brien K, Rinaldi S, Sandler DP, Kitahara CM (2023). Obesity, obesity-related metabolic conditions, and risk of thyroid cancer in women: results from a prospective cohort study (Sister Study). Lancet Reg Health Am. 23: 100537. https://doi.org/10.1016/j.lana.2023.100537 PMID: 37346380
305. Perperidi M, Saliari D, Christakis C, Huybrechts I, Saloustros E, Theodorakis Y, et al. (2023). Identifying the effective behaviour change techniques in nutrition and physical activity interventions for the treatment of overweight/obesity in post-treatment breast cancer survivors: a systematic review. Cancer Causes Control. 34(8): 683-703. https://doi.org/10.1007/s10552-023-01707-w PMID: 37149509
306. Peruchet-Noray L, Dimou N, Sedlmeier AM, Fervers B, Romieu I, Viallon V, et al. (2023). Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis. Cancers (Basel). 15(4). https://doi.org/10.3390/cancers15041296 PMID: 36831637
307. Peterson L, Lee H, Huybrechts I, Biessy C, Neuhouser ML, Haaland B, et al. (2023). Reliability estimates for assessing meal timing derived from longitudinal repeated 24-hour dietary recalls. Am J Clin Nutr. 117(5): 964-975. https://doi.org/10.1016/j.ajcnut.2023.02.026 PMID: 36921904
308. Pham TT, Nimptsch K, Papadimitriou N, Aleksandrova K, Jenab M, Gunter MJ, et al. (2023). Genetically determined circulating resistin concentrations and risk of colorectal cancer: a two-sample Mendelian randomization study. J Cancer Res Clin Oncol. 149(16): 14889-14900. https://doi.org/10.1007/s00432-023-05193-0 PMID: 37599317
309. Recalde M, Pistillo A, Davila-Batista V, Leitzmann M, Romieu I, Viallon V, et al. (2023). Longitudinal body mass index and cancer risk: a cohort study of 2.6 million Catalan adults. Nat Commun. 14(1): 3816. https://doi.org/10.1038/s41467-023-39282-y PMID: 37391446
310. Recalde M, Pistillo A, Viallon V, Fontvieille E, Duarte-Salles T, Freisling H (2023). Body mass index and incident cardiometabolic conditions in relation to obesity-related cancer risk: A population-based cohort study in Catalonia, Spain. Cancer Med. 12(19): 20188-20200. https://doi.org/10.1002/cam4.6603 PMID: 37766588
311. Rogers M, Gill D, Ahlqvist E, Robinson T, Mariosa D, Johansson M, et al. (2023). Genetically proxied impaired GIPR signaling and risk of 6 cancers. iScience. 26(6): 106848. https://doi.org/10.1016/j.isci.2023.106848 PMID: 37250804
312. Rothwell JA, Besevic J, Dimou N, Breeur M, Murphy N, Jenab M, et al. (2023). Circulating amino acid levels and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition and UK Biobank cohorts. BMC Med. 21(1): 80. https://doi.org/10.1186/s12916-023-02739-4 PMID: 36855092
313. Sanikini H, Biessy C, Rinaldi S, Navionis AS, Gicquiau A, Keski-Rahkonen P, et al. (2023). Circulating hormones and risk of gastric cancer by subsite in three cohort studies. Gastric Cancer. 26(6): 969-987. https://doi.org/10.1007/s10120-023-01414-0 PMID: 37455285
314. Schmidt JA, Huybrechts I, Overvad K, Eriksen AK, Tjonneland A, Kaaks R, et al. (2023). Protein and amino acid intakes in relation to prostate cancer risk and mortality-A prospective study in the European Prospective Investigation into Cancer and Nutrition. Cancer Med. 12(4): 4725-4738. https://doi.org/10.1002/cam4.5289 PMID: 36148781
315. Sedlmeier AM, Viallon V, Ferrari P, Peruchet-Noray L, Fontvieille E, Amadou A, et al. (2023). Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study. Br J Cancer. 128(4): 594-605. https://doi.org/10.1038/s41416-022-02071-3 PMID: 36460776
316. Sellem L, Srour B, Javaux G, Chazelas E, Chassaing B, Viennois E, et al. (2023). Food additive emulsifiers and risk of cardiovascular disease in the NutriNet-Sante cohort: prospective cohort study. BMJ. 382: e076058. https://doi.org/10.1136/bmj-2023-076058 PMID: 37673430
317. Seral-Cortes M, Sabroso-Lasa S, Gonzalez-Gross M, Quesada-Gonzalez C, Stehle P, Gottrand F, et al. (2023). The body mass index increases the genetic risk scores’ ability to predict risk of hepatic damage in European adolescents: The HELENA study. Eur J Clin Invest. 53(12): e14081. https://doi.org/10.1111/eci.14081 PMID: 37608495
318. Shah S, Mahamat-Saleh Y, Ait-Hadad W, Koemel NA, Varraso R, Boutron-Ruault MC, et al. (2023). Long-term adherence to healthful and unhealthful plant-based diets and breast cancer risk overall and by hormone receptor and histologic subtypes among postmenopausal females. Am J Clin Nutr. 117(3): 467-476. https://doi.org/10.1016/j.ajcnut.2022.11.019 PMID: 36872016
319. Shah SA, Mahamat-Saleh Y, Hajji-Louati M, Correia E, Oulhote Y, Boutron-Ruault MC, et al. (2023). Palaeolithic diet score and risk of breast cancer among postmenopausal women overall and by hormone receptor and histologic subtypes. Eur J Clin Nutr. 77(5): 596-602. https://doi.org/10.1038/s41430-023-01267-x PMID: 36726032
320. Srour B, Chazelas E, Druesne-Pecollo N, Esseddik Y, de Edelenyi FS, Agaesse C, et al. (2023). Dietary exposure to nitrites and nitrates in association with type 2 diabetes risk: Results from the NutriNet-Sante population-based cohort study. PLoS Med. 20(1): e1004149. https://doi.org/10.1371/journal.pmed.1004149 PMID: 36649248
321. Stein MJ, Baurecht H, Sedlmeier AM, Konzok J, Bohmann P, Fontvieille E, et al. (2023). Association between circadian physical activity patterns and mortality in the UK Biobank. International Journal of Behavioral Nutrition and Physical Activity. 20(1): 102. https://doi.org/10.1186/s12966-023-01508-z PMID: 37653438
322. Su YR, Sakoda LC, Jeon J, Thomas M, Lin Y, Schneider JL, et al. (2023). Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort. Cancer Epidemiol Biomarkers Prev. 32(3): 353-362. https://doi.org/10.1158/1055-9965.EPI-22-0817 PMID: 36622766
323. Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, et al. (2023). Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. Nat Commun. 14(1): 6147. https://doi.org/10.1038/s41467-023-41819-0 PMID: 37783704
324. Thompson AS, Tresserra-Rimbau A, Karavasiloglou N, Jennings A, Cantwell M, Hill C, et al. (2023). Association of Healthful Plant-based Diet Adherence With Risk of Mortality and Major Chronic Diseases Among Adults in the UK. JAMA Netw Open. 6(3): e234714. https://doi.org/10.1001/jamanetworkopen.2023.4714 PMID: 36976560
325. Tsilidis KK, Cariolou M, Becerra-Tomas N, Balducci K, Vieira R, Abar L, et al. (2023). Postdiagnosis body fatness, recreational physical activity, dietary factors and breast cancer prognosis: Global Cancer Update Programme (CUP Global) summary of evidence grading. Int J Cancer. 152(4): 635-644. https://doi.org/10.1002/ijc.34320 PMID: 36279885
326. Ugai T, Akimoto N, Haruki K, Harrison TA, Cao Y, Qu C, et al. (2023). Prognostic role of detailed colorectal location and tumor molecular features: analyses of 13,101 colorectal cancer patients including 2994 early-onset cases. J Gastroenterol. 58(3): 229-245. https://doi.org/10.1007/s00535-023-01955-2 PMID: 36648535
327. Ugai T, Haruki K, Harrison TA, Cao Y, Qu C, Chan AT, et al. (2023). Molecular Characteristics of Early-Onset Colorectal Cancer According to Detailed Anatomical Locations: Comparison With Later-Onset Cases. Am J Gastroenterol. 118(4): 712-726. https://doi.org/10.14309/ajg.0000000000002171 PMID: 36707929
328. Van Puyvelde H, Dimou N, Katsikari A, Indave Ruiz BI, Godderis L, Huybrechts I, et al. (2023). The association between dietary intakes of methionine, choline and betaine and breast cancer risk: A systematic review and meta-analysis. Cancer Epidemiol. 83: 102322. https://doi.org/10.1016/j.canep.2023.102322 PMID: 36701983
329. van Roekel EH, Bours MJL, Breukink SO, Aquarius M, Keulen ETP, Gicquiau A, et al. (2023). Longitudinal associations of plasma metabolites with persistent fatigue among colorectal cancer survivors up to 2 years after treatment. Int J Cancer. 152(2): 214-226. https://doi.org/10.1002/ijc.34252 PMID: 36054767
330. Vidman L, Zheng R, Bodén S, Ribbenstedt A, Gunter MJ, Palmqvist R, et al. (2023). Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort. Cancer Metab. 11(1): 17. https://doi.org/10.1186/s40170-023-00319-x PMID: 37849011
331. Visvanathan K, Mondul AM, Zeleniuch-Jacquotte A, Wang M, Gail MH, Yaun SS, et al. (2023). Circulating vitamin D and breast cancer risk: an international pooling project of 17 cohorts. Eur J Epidemiol. 38(1): 11-29. https://doi.org/10.1007/s10654-022-00921-1 PMID: 36593337
332. Watling CZ, Kelly RK, Murphy N, Gunter M, Piernas C, Bradbury KE, et al. (2023). Prospective Analysis Reveals Associations between Carbohydrate Intakes, Genetic Predictors of Short-Chain Fatty Acid Synthesis, and Colorectal Cancer Risk. Cancer Res. 83(12): 2066-2076. https://doi.org/10.1158/0008-5472.CAN-22-3755 PMID: 37097623
333. Watts EL, Perez-Cornago A, Fensom GK, Smith-Byrne K, Noor U, Andrews CD, et al. (2023). Circulating insulin-like growth factors and risks of overall, aggressive and early-onset prostate cancer: a collaborative analysis of 20 prospective studies and Mendelian randomization analysis. Int J Epidemiol. 52(1): 71-86. https://doi.org/10.1093/ije/dyac124 PMID: 35726641
334. Wendeu-Foyet G, Bellicha A, Chajes V, Huybrechts I, Bard JM, Debras C, et al. (2023). Different Types of Industry-Produced and Ruminant Trans Fatty Acid Intake and Risk of Type 2 Diabetes: Findings From the NutriNet-Sante Prospective Cohort. Diabetes Care. 46(2): 321-330. https://doi.org/10.2337/dc22-0900 PMID: 36542554
335. Winn M, Karra P, Freisling H, Gunter MJ, Haaland B, Litchman ML, et al. (2023). Metabolic obesity phenotypes and obesity-related cancer risk in the National Health and Nutrition Examination Survey. Endocrinol Diabetes Metab. 6(4): e433. https://doi.org/10.1002/edm2.433 PMID: 37277888
336. Winn M, Karra P, Haaland B, Doherty JA, Summers SA, Litchman ML, et al. (2023). Metabolic dysfunction and obesity-related cancer: Results from the cross-sectional National Health and Nutrition Examination Survey. Cancer Med. 12(1): 606-618. https://doi.org/10.1002/cam4.4912 PMID: 35719035
337. Yammine SG, Huybrechts I, Biessy C, Dossus L, Panico S, Sanchez MJ, et al. (2023). Dietary fatty acids and endometrial cancer risk within the European Prospective Investigation into Cancer and Nutrition. BMC Cancer. 23(1): 159. https://doi.org/10.1186/s12885-023-10611-0 PMID: 36797668
338. Yarmolinsky J, Bouras E, Constantinescu A, Burrows K, Bull CJ, Vincent EE, et al. (2023). Genetically proxied glucose-lowering drug target perturbation and risk of cancer: a Mendelian randomisation analysis. Diabetologia. 66(8): 1481-1500. https://doi.org/10.1007/s00125-023-05925-4 PMID: 37171501
339. Zamora-Ros R, Cayssials V, Cleries R, Torrents M, Byrnes G, Weiderpass E, et al. (2023). Sweetened beverages are associated with a higher risk of differentiated thyroid cancer in the EPIC cohort: a dietary pattern approach. Eur J Nutr. 62(1): 105-114. https://doi.org/10.1007/s00394-022-02953-5 PMID: 35907037
340. Zhang T, Naudin S, Hong HG, Albanes D, Mannisto S, Weinstein SJ, et al. (2023). Dietary Quality and Circulating Lipidomic Profiles in 2 Cohorts of Middle-Aged and Older Male Finnish Smokers and American Populations. J Nutr. 153(8): 2389-2400. https://doi.org/10.1016/j.tjnut.2023.06.010 PMID: 37328109
341. Zhao Y, Walker DI, Lill CM, Bloem BR, Darweesh SKL, Pinto-Pacheco B, et al. (2023). Lipopolysaccharide-binding protein and future Parkinson’s disease risk: a European prospective cohort. J Neuroinflammation. 20(1): 170. https://doi.org/10.1186/s12974-023-02846-2 PMID: 37480114
342. Al Rahmoun M, Ghiasvand R, Cairat M, Mahamat-Saleh Y, Cervenka I, Severi G, et al. (2022). Statin Use and Skin Cancer Risk: A Prospective Cohort Study. J Invest Dermatol. 142(5): 1318-1325 e1315. https://doi.org/10.1016/j.jid.2021.10.010 PMID: 34695411
343. Alfano R, Plusquin M, Robinson O, Brescianini S, Chatzi L, Keski-Rahkonen P, et al. (2022). Cord blood metabolites and rapid postnatal growth as multiple mediators in the prenatal propensity to childhood overweight. Int J Obes (Lond). 46(7): 1384-1393. https://doi.org/10.1038/s41366-022-01108-0 PMID: 35508813
344. Amara A, Frainay C, Jourdan F, Naake T, Neumann S, Novoa-Del-Toro EM, et al. (2022). Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation. Front Mol Biosci. 9: 841373. https://doi.org/10.3389/fmolb.2022.841373 PMID: 35350714
345. Archambault AN, Jeon J, Lin Y, Thomas M, Harrison TA, Bishop DT, et al. (2022). Risk Stratification for Early-Onset Colorectal Cancer Using a Combination of Genetic and Environmental Risk Scores: An International Multi-Center Study. J Natl Cancer Inst. 114(4): 528-539. https://doi.org/10.1093/jnci/djac003 PMID: 35026030
346. Aune D, Markozannes G, Abar L, Balducci K, Cariolou M, Nanu N, et al. (2022). Physical Activity and Health-Related Quality of Life in Women With Breast Cancer: A Meta-Analysis. JNCI Cancer Spectr. 6(6). https://doi.org/10.1093/jncics/pkac072 PMID: 36474321
347. Barfield R, Huyghe JR, Lemire M, Dong X, Su YR, Brezina S, et al. (2022). Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer. Cancer Epidemiol Biomarkers Prev. 31(5): 1068-1076. https://doi.org/10.1158/1055-9965.EPI-21-0724 PMID: 35247911
348. Bellerba F, Chatziioannou AC, Jasbi P, Robinot N, Keski-Rahkonen P, Trolat A, et al. (2022). Metabolomic profiles of metformin in breast cancer survivors: a pooled analysis of plasmas from two randomized placebo-controlled trials. J Transl Med. 20(1): 629. https://doi.org/10.1186/s12967-022-03809-6 PMID: 36581893
349. Bond TA, Richmond RC, Karhunen V, Cuellar-Partida G, Borges MC, Zuber V, et al. (2022). Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomisation using polygenic risk scores. BMC Med. 20(1): 34. https://doi.org/10.1186/s12916-021-02216-w PMID: 35101027
350. Bondonno NP, Parmenter BH, Dalgaard F, Murray K, Rasmussen DB, Kyro C, et al. (2022). Flavonoid intakes inversely associate with COPD in smokers. Eur Respir J. 60(2): 2102604. https://doi.org/10.1183/13993003.02604-2021 PMID: 35058251
351. Boot IWA, Wesselius A, Yu EYW, Brinkman M, van den Brandt P, Grant EJ, et al. (2022). Dietary B group vitamin intake and the bladder cancer risk: a pooled analysis of prospective cohort studies. Eur J Nutr. 61(5): 2397-2416. https://doi.org/10.1007/s00394-022-02805-2 PMID: 35129646
352. Bouras E, Karhunen V, Gill D, Huang J, Haycock PC, Gunter MJ, et al. (2022). Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis. BMC Med. 20(1): 3. https://doi.org/10.1186/s12916-021-02193-0 PMID: 35012533
353. Bray F, Parkin DM, African Cancer Registry N (2022). Cancer in sub-Saharan Africa in 2020: a review of current estimates of the national burden, data gaps, and future needs. Lancet Oncol. 23(6): 719-728. https://doi.org/10.1016/S1470-2045(22)00270-4 PMID: 35550275
354. Breeur M, Ferrari P, Dossus L, Jenab M, Johansson M, Rinaldi S, et al. (2022). Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition. BMC Med. 20(1): 351. https://doi.org/10.1186/s12916-022-02553-4 PMID: 36258205
355. Cairat M, Rinaldi S, Navionis AS, Romieu I, Biessy C, Viallon V, et al. (2022). Circulating inflammatory biomarkers, adipokines and breast cancer risk-a case-control study nested within the EPIC cohort. BMC Med. 20(1): 118. https://doi.org/10.1186/s12916-022-02319-y PMID: 35430795
356. Campbell PT, Newton CC, Jacobs EJ, McCullough ML, Wang Y, Rees-Punia E, et al. (2022). Prospective associations of hemoglobin A(1c) and c-peptide with risk of diabetes-related cancers in the Cancer Prevention Study-II Nutrition Cohort. Cancer Res Commun. 2(7): 653-662. https://doi.org/10.1158/2767-9764.crc-22-0082 PMID: 36712480
357. Cayssials V, Buckland G, Crous-Bou M, Bonet C, Weiderpass E, Skie G, et al. (2022). Inflammatory potential of diet and pancreatic cancer risk in the EPIC study. Eur J Nutr. 61(5): 2313-2320. https://doi.org/10.1007/s00394-022-02809-y PMID: 35091827
358. Chan SSM, Chen Y, Casey K, Olen O, Ludvigsson JF, Carbonnel F, et al. (2022). Obesity is Associated With Increased Risk of Crohn’s disease, but not Ulcerative Colitis: A Pooled Analysis of Five Prospective Cohort Studies. Clin Gastroenterol Hepatol. 20(5): 1048-1058. https://doi.org/10.1016/j.cgh.2021.06.049 PMID: 34242756
359. Charvat H, Freisling H, Noh H, Gaudet MM, Gunter MJ, Cross AJ, et al. (2022). Excess Body Fatness during Early to Mid-Adulthood and Survival from Colorectal and Breast Cancer: A Pooled Analysis of Five International Cohort Studies. Cancer Epidemiol Biomarkers Prev. 31(2): 325-333. https://doi.org/10.1158/1055-9965.EPI-21-0688 PMID: 34782393
360. Chazelas E, Pierre F, Druesne-Pecollo N, Esseddik Y, Szabo de Edelenyi F, Agaesse C, et al. (2022). Nitrites and nitrates from food additives and natural sources and cancer risk: results from the NutriNet-Sante cohort. Int J Epidemiol. 51(4): 1106-1119. https://doi.org/10.1093/ije/dyac046 PMID: 35303088
361. Claeys L, De Saeger S, Scelo G, Biessy C, Casagrande C, Nicolas G, et al. (2022). Mycotoxin Exposure and Renal Cell Carcinoma Risk: An Association Study in the EPIC European Cohort. Nutrients. 14(17): 3581. https://doi.org/10.3390/nu14173581 PMID: 36079840
362. Clasen JL, Heath AK, Van Puyvelde H, Huybrechts I, Park JY, Ferrari P, et al. (2022). Biomarkers of the transsulfuration pathway and risk of renal cell carcinoma in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Int J Cancer. 151(5): 708-716. https://doi.org/10.1002/ijc.34009 PMID: 35366005
363. Cordova R, Mayen AL, Knaze V, Aglago EK, Schalkwijk C, Wagner KH, et al. (2022). Dietary intake of advanced glycation endproducts (AGEs) and cancer risk across more than 20 anatomical sites: A multinational cohort study. Cancer Commun (Lond). 42(10): 1041-1045. https://doi.org/10.1002/cac2.12343 PMID: 35924960
364. Crous-Bou M, Du M, Gunter MJ, Setiawan VW, Schouten LJ, Shu XO, et al. (2022). Coffee consumption and risk of endometrial cancer: a pooled analysis of individual participant data in the Epidemiology of Endometrial Cancer Consortium (E2C2). Am J Clin Nutr. 116(5): 1219-1228. https://doi.org/10.1093/ajcn/nqac229 PMID: 36041172
365. Dam V, Onland-Moret NC, Burgess S, Chirlaque MD, Peters SAE, Schuit E, et al. (2022). Genetically Determined Reproductive Aging and Coronary Heart Disease: A Bidirectional 2-sample Mendelian Randomization. J Clin Endocrinol Metab. 107(7): e2952-e2961. https://doi.org/10.1210/clinem/dgac171 PMID: 35306566
366. Dashti SG, Simpson JA, Viallon V, Karahalios A, Moreno-Betancur M, Brasky T, et al. (2022). Adiposity and breast, endometrial, and colorectal cancer risk in postmenopausal women: Quantification of the mediating effects of leptin, C-reactive protein, fasting insulin, and estradiol. Cancer Med. 11(4): 1145-1159. https://doi.org/10.1002/cam4.4434 PMID: 35048536
367. de Barros BV, Proenca R, Kliemann N, Hilleshein D, de Souza AA, Cembranel F, et al. (2022). Trans-Fat Labeling in Packaged Foods Sold in Brazil Before and After Changes in Regulatory Criteria for Trans-Fat-Free Claims on Food Labels. Front Nutr. 9: 868341. https://doi.org/10.3389/fnut.2022.868341 PMID: 35662949
368. Debras C, Chazelas E, Sellem L, Porcher R, Druesne-Pecollo N, Esseddik Y, et al. (2022). Artificial sweeteners and risk of cardiovascular diseases: results from the prospective NutriNet-Sante cohort. BMJ. 378: e071204. https://doi.org/10.1136/bmj-2022-071204 PMID: 36638072
369. Debras C, Chazelas E, Srour B, Druesne-Pecollo N, Esseddik Y, Szabo de Edelenyi F, et al. (2022). Artificial sweeteners and cancer risk: Results from the NutriNet-Sante population-based cohort study. PLoS Med. 19(3): e1003950. https://doi.org/10.1371/journal.pmed.1003950 PMID: 35324894
370. Dennis J, Tyrer JP, Walker LC, Michailidou K, Dorling L, Bolla MK, et al. (2022). Rare germline copy number variants (CNVs) and breast cancer risk. Commun Biol. 5(1): 65. https://doi.org/10.1038/s42003-021-02990-6 PMID: 35042965
371. DeVries AA, Dennis J, Tyrer JP, Peng PC, Coetzee SG, Reyes AL, et al. (2022). Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci. J Natl Cancer Inst. 114(11): 1533-1544. https://doi.org/10.1093/jnci/djac160 PMID: 36210504
372. Dianatinasab M, Wesselius A, Salehi-Abargouei A, Yu EYW, Fararouei M, Brinkman M, et al. (2022). Dietary fats and their sources in association with the risk of bladder cancer: A pooled analysis of 11 prospective cohort studies. Int J Cancer. 151(1): 44-55. https://doi.org/10.1002/ijc.33970 PMID: 35182086
373. Dimou N, Omiyale W, Biessy C, Viallon V, Kaaks R, O’Mara TA, et al. (2022). Cigarette Smoking and Endometrial Cancer Risk: Observational and Mendelian Randomization Analyses. Cancer Epidemiol Biomarkers Prev. 31(9): 1839-1848. https://doi.org/10.1158/1055-9965.EPI-21-1176 PMID: 35900194
374. Dong C, Chan SSM, Jantchou P, Racine A, Oldenburg B, Weiderpass E, et al. (2022). Meat Intake Is Associated with a Higher Risk of Ulcerative Colitis in a Large European Prospective Cohort Studyo. J Crohns Colitis. 16(8): 1187-1196. https://doi.org/10.1093/ecco-jcc/jjac054 PMID: 35396592
375. Dugue PA, Hodge AM, Ulvik A, Ueland PM, Midttun O, Rinaldi S, et al. (2022). Association of Markers of Inflammation, the Kynurenine Pathway and B Vitamins with Age and Mortality, and a Signature of Inflammaging. J Gerontol A Biol Sci Med Sci. 77(4): 826-836. https://doi.org/10.1093/gerona/glab163 PMID: 34117761
376. El Asri A, Ouldim K, Bouguenouch L, Sekal M, Moufid FZ, Kampman E, et al. (2022). Dietary Fat Intake and KRAS Mutations in Colorectal Cancer in a Moroccan Population. Nutrients. 14(2): 12. https://doi.org/10.3390/nu14020318 PMID: 35057499
377. El Kinany K, Huybrechts I, Hatime Z, El Asri A, Boudouaya HA, Deoula MMS, et al. (2022). Food processing groups and colorectal cancer risk in Morocco: evidence from a nationally representative case-control study. Eur J Nutr. 61(5): 2507-2515. https://doi.org/10.1007/s00394-022-02820-3 PMID: 35211850
378. Ellingjord-Dale M, Christakoudi S, Weiderpass E, Panico S, Dossus L, Olsen A, et al. (2022). Long-term weight change and risk of breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Int J Epidemiol. 50(6): 1914-1926. https://doi.org/10.1093/ije/dyab032 PMID: 34999853
379. Etievant L, Viallon V (2022). On some limitations of probabilistic models for dimension-reduction: Illustration in the case of probabilistic formulations of partial least squares. Statistica Neerlandica. 76(3): 331-346. https://doi.org/10.1111/stan.12262
380. Etievant L, Viallon V (2022). Causal inference under over-simplified longitudinal causal models. Int J Biostat. 18(2): 421-437. https://doi.org/10.1515/ijb-2020-0081 PMID: 34727585
381. Fiolet T, Casagrande C, Nicolas G, Horvath Z, Frenoy P, Weiderpass E, et al. (2022). Dietary intakes of dioxins and polychlorobiphenyls (PCBs) and breast cancer risk in 9 European countries. Environ Int. 163: 107213. https://doi.org/10.1016/j.envint.2022.107213 PMID: 35364416
382. Flieh SM, Miguel-Berges ML, Huybrechts I, Castillo MJ, Gonzalez-Gross M, Marcos A, et al. (2022). Associations between food portion sizes, insulin resistance, VO2 max and metabolic syndrome in European adolescents: The HELENA study. Nutr Metab Cardiovasc Dis. 32(9): 2061-2073. https://doi.org/10.1016/j.numecd.2022.05.017 PMID: 35850749
383. Fontvieille E, His M, Biessy C, Navionis AS, Torres-Mejia G, Angeles-Llerenas A, et al. (2022). Inflammatory biomarkers and risk of breast cancer among young women in Latin America: a case-control study. BMC Cancer. 22(1): 877. https://doi.org/10.1186/s12885-022-09975-6 PMID: 35948877
384. Gaziano L, Sun L, Arnold M, Bell S, Cho K, Kaptoge SK, et al. (2022). Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses. Circulation. 146(20): 1507-1517. https://doi.org/10.1161/CIRCULATIONAHA.122.060700 PMID: 36314129
385. Georgeson P, Harrison TA, Pope BJ, Zaidi SH, Qu C, Steinfelder RS, et al. (2022). Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures. Nat Commun. 13(1): 3254. https://doi.org/10.1038/s41467-022-30916-1 PMID: 35668106
386. Gil-Lespinard M, Castaneda J, Almanza-Aguilera E, Gomez JH, Tjonneland A, Kyro C, et al. (2022). Dietary Intake of 91 Individual Polyphenols and 5-Year Body Weight Change in the EPIC-PANACEA Cohort. Antioxidants (Basel). 11(12). https://doi.org/10.3390/antiox11122425 PMID: 36552633
387. Goerdten J, Yuan L, Huybrechts I, Neveu V, Nothlings U, Ahrens W, et al. (2022). Reproducibility of the Blood and Urine Exposome: A Systematic Literature Review and Meta-Analysis. Cancer Epidemiol Biomarkers Prev. 31(9): 1683-1692. https://doi.org/10.1158/1055-9965.EPI-22-0090 PMID: 35732488
388. Grenville ZS, Noor U, His M, Viallon V, Rinaldi S, Aglago EK, et al. (2022). Diet and BMI Correlate with Metabolite Patterns Associated with Aggressive Prostate Cancer. Nutrients. 14(16): 3306. https://doi.org/10.3390/nu14163306 PMID: 36014812
389. Gruzieva O, Jeong A, He S, Yu Z, de Bont J, Pinho MGM, et al. (2022). Air pollution, metabolites and respiratory health across the life-course. Eur Respir Rev. 31(165): 220038. https://doi.org/10.1183/16000617.0038-2022 PMID: 35948392
390. Harbs J, Rinaldi S, Gicquiau A, Keski-Rahkonen P, Mori N, Liu X, et al. (2022). Circulating Sex Hormone Levels and Colon Cancer Risk in Men: A Nested Case-Control Study and Meta-Analysis. Cancer Epidemiol Biomarkers Prev. 31(4): 793-803. https://doi.org/10.1158/1055-9965.EPI-21-0996 PMID: 35086823
391. Hardt L, Mahamat-Saleh Y, Aune D, Schlesinger S (2022). Plant-Based Diets and Cancer Prognosis: a Review of Recent Research. Curr Nutr Rep. 11(4): 695-716. https://doi.org/10.1007/s13668-022-00440-1 PMID: 36138327
392. Harlid S, Van Guelpen B, Qu C, Gylling B, Aglago EK, Amitay EL, et al. (2022). Diabetes mellitus in relation to colorectal tumor molecular subtypes: A pooled analysis of more than 9000 cases. Int J Cancer. 151(3): 348-360. https://doi.org/10.1002/ijc.34015 PMID: 35383926
393. Hatime Z, El Kinany K, Huybrechts I, Murphy N, Gunter MJ, Khalis M, et al. (2022). Association of Physical Activity and Sedentary Behavior with Colorectal Cancer Risk in Moroccan Adults: A Large-Scale, Population-Based Case-Control Study. Asian Pac J Cancer Prev. 23(6): 1859-1866. https://doi.org/10.31557/APJCP.2022.23.6.1859 PMID: 35763624
394. Hazelwood E, Sanderson E, Tan VY, Ruth KS, Frayling TM, Dimou N, et al. (2022). Identifying molecular mediators of the relationship between body mass index and endometrial cancer risk: a Mendelian randomization analysis. BMC Med. 20(1): 125. https://doi.org/10.1186/s12916-022-02322-3 PMID: 35436960
395. Heath AK, Muller DC, van den Brandt PA, Critselis E, Gunter M, Vineis P, et al. (2022). Diet-wide association study of 92 foods and nutrients and lung cancer risk in the European Prospective Investigation into Cancer and Nutrition study and the Netherlands Cohort Study. Int J Cancer. 151(11): 1935-1946. https://doi.org/10.1002/ijc.34211 PMID: 35830197
396. Hoeylaerts S, Van Opstal A, Huybrechts I, Koppen G, Devlieger R, Godderis L, et al. (2022). Validation of a food-frequency questionnaire to assess methyl-group donor intake in preschoolers. Eur J Pediatr. 181(5): 1871-1881. https://doi.org/10.1007/s00431-021-04367-7 PMID: 35029741
397. Huang Y, Hua X, Labadie JD, Harrison TA, Dai JY, Lindstrom S, et al. (2022). Genetic variants associated with circulating C-reactive protein levels and colorectal cancer survival: Sex-specific and lifestyle factors specific associations. Int J Cancer. 150(9): 1447-1454. https://doi.org/10.1002/ijc.33897 PMID: 34888857
398. Huybrechts I, Rauber F, Nicolas G, Casagrande C, Kliemann N, Wedekind R, et al. (2022). Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing. Front Nutr. 9: 1035580. https://doi.org/10.3389/fnut.2022.1035580 PMID: 36590209
399. Iglesias-Vazquez L, Arija V, Aranda N, Aglago EK, Cross AJ, Schulze MB, et al. (2022). Factors associated with serum ferritin levels and iron excess: results from the EPIC-EurGast study. Eur J Nutr. 61(1): 101-114. https://doi.org/10.1007/s00394-021-02625-w PMID: 34213605
400. Iguacel I, Perez-Cornago A, Schmidt JA, Van Puyvelde H, Travis R, Casagrande C, et al. (2022). Evaluation of protein and amino acid intake estimates from the EPIC dietary questionnaires and 24-h dietary recalls using different food composition databases. Nutr Metab Cardiovasc Dis. 32(1): 80-89. https://doi.org/10.1016/j.numecd.2021.09.012 PMID: 34696945
401. Jacobs I, Taljaard-Krugell C, Wicks M, Cubasch H, Joffe M, Laubscher R, et al. (2022). Adherence to cancer prevention recommendations is associated with a lower breast cancer risk in black urban South African women. Br J Nutr. 127(6): 927-938. https://doi.org/10.1017/S0007114521001598 PMID: 33988098
402. Jacobs I, Taljaard-Krugell C, Wicks M, Cubasch H, Joffe M, Laubscher R, et al. (2022). Degree of food processing and breast cancer risk in black urban women from Soweto, South African: the South African Breast Cancer study. Br J Nutr. 128(11): 2278-2289. https://doi.org/10.1017/S0007114522000423 PMID: 35109954
403. Jang HH, Noh H, Kim G, Cho SY, Kim HJ, Choe JS, et al. (2022). Differences in dietary patterns related to metabolic health by gut microbial enterotypes of Korean adults. Front Nutr. 9: 1045397. https://doi.org/10.3389/fnut.2022.1045397 PMID: 36687725
404. Jordahl KM, Shcherbina A, Kim AE, Su YR, Lin Y, Wang J, et al. (2022). Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region. Cancer Epidemiol Biomarkers Prev. 31(5): 1077-1089. https://doi.org/10.1158/1055-9965.EPI-21-1003 PMID: 35438744
405. Karra P, Winn M, Pauleck S, Bulsiewicz-Jacobsen A, Peterson L, Coletta A, et al. (2022). Metabolic dysfunction and obesity-related cancer: Beyond obesity and metabolic syndrome. Obesity (Silver Spring). 30(7): 1323-1334. https://doi.org/10.1002/oby.23444 PMID: 35785479
406. Kelly RK, Pollard Z, Young H, Piernas C, Lentjes M, Mulligan A, et al. (2022). Evaluation of the New Individual Fatty Acid Dataset for UK Biobank: Analysis of Intakes and Sources in 207,997 Participants. Nutrients. 14(17): 3603. https://doi.org/10.3390/nu14173603 PMID: 36079862
407. Kliemann N, Al Nahas A, Vamos EP, Touvier M, Kesse-Guyot E, Gunter MJ, et al. (2022). Ultra-processed foods and cancer risk: from global food systems to individual exposures and mechanisms. Br J Cancer. 127(1): 14-20. https://doi.org/10.1038/s41416-022-01749-y PMID: 35236935
408. Kliemann N, Ould Ammar R, Biessy C, Gicquiau A, Katzke V, Kaaks R, et al. (2022). Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cancer Epidemiol Biomarkers Prev. 31(7): 1359-1367. https://doi.org/10.1158/1055-9965.EPI-22-0160 PMID: 35437568
409. Koelman L, Huybrechts I, Biesbroek S, van ‘t Veer P, Schulze MB, Aleksandrova K (2022). Dietary Choices Impact on Greenhouse Gas Emissions: Determinants and Correlates in a Sample of Adults from Eastern Germany. Sustainability. 14(7): 10. https://doi.org/10.3390/su14073854
410. Kohls M, Freisling H, Charvat H, Soerjomataram I, Viallon V, Davila-Batista V, et al. (2022). Impact of cumulative body mass index and cardiometabolic diseases on survival among patients with colorectal and breast cancer: a multi-centre cohort study. BMC Cancer. 22(1): 546. https://doi.org/10.1186/s12885-022-09589-y PMID: 35568802
411. Labadie JD, Savas S, Harrison TA, Banbury B, Huang Y, Buchanan DD, et al. (2022). Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival. Sci Rep. 12(1): 127. https://doi.org/10.1038/s41598-021-03945-x PMID: 34996992
412. Lecuyer L, Laouali N, Dossus L, Shivappa N, Hebert JR, Agudo A, et al. (2022). Inflammatory potential of the diet and association with risk of differentiated thyroid cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Eur J Nutr. 61(7): 3625-3635. https://doi.org/10.1007/s00394-022-02897-w PMID: 35635567
413. Li C, Imamura F, Wedekind R, Stewart ID, Pietzner M, Wheeler E, et al. (2022). Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention. Am J Clin Nutr. 116(2): 511-522. https://doi.org/10.1093/ajcn/nqac094 PMID: 35754192
414. Llaha F, Cayssials V, Farras M, Agudo A, Sandstrom M, Eriksen AK, et al. (2022). Adherence to mediterranean diet and the risk of differentiated thyroid cancer in a European cohort: The EPIC study. Front Nutr. 9: 982369. https://doi.org/10.3389/fnut.2022.982369 PMID: 36118743
415. Louca P, Nogal A, Moskal A, Goulding NJ, Shipley MJ, Alkis T, et al. (2022). Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies. Metabolites. 12(7): 601. https://doi.org/10.3390/metabo12070601 PMID: 35888725
416. Lu Y, Li G, Ferrari P, Freisling H, Qiao Y, Wu L, et al. (2022). Associations of handgrip strength with morbidity and all-cause mortality of cardiometabolic multimorbidity. BMC Med. 20(1): 191. https://doi.org/10.1186/s12916-022-02389-y PMID: 35655218
417. Mariosa D, Smith-Byrne K, Richardson TG, Ferrari P, Gunter MJ, Papadimitriou N, et al. (2022). Body Size at Different Ages and Risk of 6 Cancers: A Mendelian Randomization and Prospective Cohort Study. J Natl Cancer Inst. 114(9): 1296-1300. https://doi.org/10.1093/jnci/djac061 PMID: 35438160
418. Martin S, Tyrrell J, Thomas EL, Bown MJ, Wood AR, Beaumont RN, et al. (2022). Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation. Elife. 11. https://doi.org/10.7554/eLife.72452 PMID: 35074047
419. Matta M, Deubler E, Chajes V, Vozar B, Gunter MJ, Murphy N, et al. (2022). Circulating plasma phospholipid fatty acid levels and breast cancer risk in the Cancer Prevention Study-II Nutrition Cohort. Int J Cancer. 151(12): 2082-2094. https://doi.org/10.1002/ijc.34216 PMID: 35849437
420. Mayen AL, Viallon V, Botteri E, Proust-Lima C, Bagnardi V, Batista V, et al. (2022). A longitudinal evaluation of alcohol intake throughout adulthood and colorectal cancer risk. Eur J Epidemiol. 37(9): 915-929. https://doi.org/10.1007/s10654-022-00900-6 PMID: 36063305
421. Michels N, Zouiouich S, Vanderbauwhede B, Vanacker J, Indave Ruiz BI, Huybrechts I (2022). Human microbiome and metabolic health: An overview of systematic reviews. Obes Rev. 23(4): e13409. https://doi.org/10.1111/obr.13409 PMID: 34978141
422. Mohammed Taha H, Aalizadeh R, Alygizakis N, Antignac JP, Arp HPH, Bade R, et al. (2022). The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry. Environ Sci Eur. 34(1): 104. https://doi.org/10.1186/s12302-022-00680-6 PMID: 36284750
423. Mohan A, Huybrechts I, Michels N (2022). Psychosocial stress and cancer risk: a narrative review. Eur J Cancer Prev. 31(6): 585-599. https://doi.org/10.1097/CEJ.0000000000000752 PMID: 35352705
424. Mori N, Murphy N, Sawada N, Achaintre D, Yamaji T, Scalbert A, et al. (2022). Prediagnostic plasma polyphenol concentrations and colon cancer risk: The JPHC nested case-control study. Clin Nutr. 41(9): 1950-1960. https://doi.org/10.1016/j.clnu.2022.06.041 PMID: 35952597
425. Mori N, Sawada N, Yamamoto J, Ishihara J, Shimazu T, Takachi R, et al. (2022). Validity of dietary isothiocyanate intake estimates from a food frequency questionnaire using 24 h urinary isothiocyanate excretion as an objective biomarker: the JPHC-NEXT protocol area. Eur J Clin Nutr. 76(3): 462-468. https://doi.org/10.1038/s41430-021-00970-x PMID: 34230632
426. Mukama T, Fortner RT, Katzke V, Hynes LC, Petrera A, Hauck SM, et al. (2022). Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer. Br J Cancer. 126(9): 1301-1309. https://doi.org/10.1038/s41416-021-01697-z PMID: 35031764
427. Murphy N, Song M, Papadimitriou N, Carreras-Torres R, Langenberg C, Martin RM, et al. (2022). Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis. J Natl Cancer Inst. 114(5): 740-752. https://doi.org/10.1093/jnci/djac011 PMID: 35048991
428. Nimptsch K, Aleksandrova K, Fedirko V, Jenab M, Gunter MJ, Siersema PD, et al. (2022). Pre-diagnostic C-reactive protein concentrations, CRP genetic variation and mortality among individuals with colorectal cancer in Western European populations. BMC Cancer. 22(1): 695. https://doi.org/10.1186/s12885-022-09778-9 PMID: 35739525
429. Pala V, Agnoli C, Cavalleri A, Rinaldi S, Orlandi R, Segrado F, et al. (2022). Prediagnostic Levels of Copper and Zinc and Breast Cancer Risk in the ORDET Cohort. Cancer Epidemiol Biomarkers Prev. 31(6): 1209-1215. https://doi.org/10.1158/1055-9965.EPI-21-1252 PMID: 35255128
430. Papadimitriou N, Bouras E, van den Brandt PA, Muller DC, Papadopoulou A, Heath AK, et al. (2022). A Prospective Diet-Wide Association Study for Risk of Colorectal Cancer in EPIC. Clin Gastroenterol Hepatol. 20(4): 864-873 e813. https://doi.org/10.1016/j.cgh.2021.04.028 PMID: 33901663
431. Pham TT, Nimptsch K, Aleksandrova K, Jenab M, Reichmann R, Wu K, et al. (2022). Pre-Diagnostic Circulating Resistin Concentrations Are Not Associated with Colorectal Cancer Risk in the European Prospective Investigation into Cancer and Nutrition Study. Cancers (Basel). 14(22): 5499. https://doi.org/10.3390/cancers14225499 PMID: 36428592
432. Porta M, Gasull M, Pumarega J, Kiviranta H, Rantakokko P, Raaschou-Nielsen O, et al. (2022). Plasma concentrations of persistent organic pollutants and pancreatic cancer risk. Int J Epidemiol. 51(2): 479-490. https://doi.org/10.1093/ije/dyab115 PMID: 34259837
433. Robinson N, Casement J, Gunter MJ, Huybrechts I, Agudo A, Barranco MR, et al. (2022). Anti-cancer therapy is associated with long-term epigenomic changes in childhood cancer survivors. Br J Cancer. 127(2): 288-300. https://doi.org/10.1038/s41416-022-01792-9 PMID: 35354948
434. Roel E, Pistillo A, Recalde M, Fernandez-Bertolin S, Aragon M, Soerjomataram I, et al. (2022). Cancer and the risk of coronavirus disease 2019 diagnosis, hospitalisation and death: A population-based multistate cohort study including 4 618 377 adults in Catalonia, Spain. Int J Cancer. 150(5): 782-794. https://doi.org/10.1002/ijc.33846 PMID: 34655476
435. Romieu I, Khandpur N, Katsikari A, Biessy C, Torres-Mejia G, Angeles-Llerenas A, et al. (2022). Consumption of industrial processed foods and risk of premenopausal breast cancer among Latin American women: the PRECAMA study. BMJ Nutr Prev Health. 5(1): 1-9. https://doi.org/10.1136/bmjnph-2021-000335 PMID: 35814719
436. Rothwell JA, Jenab M, Karimi M, Truong T, Mahamat-Saleh Y, Ferrari P, et al. (2022). Metabolic Syndrome and Risk of Gastrointestinal Cancers: An Investigation Using Large-scale Molecular Data. Clin Gastroenterol Hepatol. 20(6): e1338-e1352. https://doi.org/10.1016/j.cgh.2021.10.016 PMID: 34687971
437. Rothwell JA, Mori N, Artaud F, Fournier A, Conte M, Boutron-Ruault MC, et al. (2022). Colorectal cancer risk following appendectomy: a pooled analysis of three large prospective cohort studies. Cancer Commun (Lond). 42(5): 486-489. https://doi.org/10.1002/cac2.12265 PMID: 35132829
438. Rothwell JA, Murphy N, Besevic J, Kliemann N, Jenab M, Ferrari P, et al. (2022). Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort. Clin Gastroenterol Hepatol. 20(5): e1061-e1082. https://doi.org/10.1016/j.cgh.2020.11.045 PMID: 33279777
439. Sahrai MS, Huybrechts I, Biessy C, Rinaldi S, Ferrari P, Wasiq AW, et al. (2022). Determinants of Obesity and Metabolic Health in the Afghan Population: Protocol, Methodology, and Preliminary Results. J Epidemiol Glob Health. 12(1): 113-123. https://doi.org/10.1007/s44197-021-00026-0 PMID: 34994966
440. Salas S, Cottet V, Dossus L, Fassier P, Ginhac J, Latino-Martel P, et al. (2022). Nutritional Factors during and after Cancer: Impacts on Survival and Quality of Life. Nutrients. 14(14): 2958. https://doi.org/10.3390/nu14142958 PMID: 35889914
441. Santaliestra-Pasias AM, Felez AP, Huybrechts I, Censi L, Gonzalez-Gross M, Forsner M, et al. (2022). Social Environment and Food and Beverage Intake in European Adolescents: The Helena Study. J Am Nutr Assoc. 41(5): 468-480. https://doi.org/10.1080/07315724.2021.1917462 PMID: 35512772
442. Seyed Khoei N, Wagner KH, Sedlmeier AM, Gunter MJ, Murphy N, Freisling H (2022). Bilirubin as an indicator of cardiometabolic health: a cross-sectional analysis in the UK Biobank. Cardiovasc Diabetol. 21(1): 54. https://doi.org/10.1186/s12933-022-01484-x PMID: 35436955
443. Seyyedsalehi MS, Collatuzzo G, Huybrechts I, Hadji M, Rashidian H, Safari-Faramani R, et al. (2022). Association between dietary fat intake and colorectal cancer: A multicenter case-control study in Iran. Front Nutr. 9: 1017720. https://doi.org/10.3389/fnut.2022.1017720 PMID: 36466398
444. Seyyedsalehi MS, Collatuzzo G, Rashidian H, Hadji M, Gholipour M, Mohebbi E, et al. (2022). Dietary Ruminant and Industrial Trans-Fatty Acids Intake and Colorectal Cancer Risk. Nutrients. 14(22): 4912. https://doi.org/10.3390/nu14224912 PMID: 36432598
445. Srour B, Chazelas E, Fezeu LK, Javaux G, Pierre F, Huybrechts I, et al. (2022). Nitrites, Nitrates, and Cardiovascular Outcomes: Are We Living “La Vie en Rose” With Pink Processed Meats? J Am Heart Assoc. 11(24): e027627. https://doi.org/10.1161/JAHA.122.027627 PMID: 36533633
446. Stepien M, Lopez-Nogueroles M, Lahoz A, Kuhn T, Perlemuter G, Voican C, et al. (2022). Prediagnostic alterations in circulating bile acid profiles in the development of hepatocellular carcinoma. Int J Cancer. 150(8): 1255-1268. https://doi.org/10.1002/ijc.33885 PMID: 34843121
447. Tian Y, Kim AE, Bien SA, Lin Y, Qu C, Harrison TA, et al. (2022). Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk. J Natl Cancer Inst. 114(8): 1135-1148. https://doi.org/10.1093/jnci/djac094 PMID: 35512400
448. Vissers LET, Sluijs I, Burgess S, Forouhi NG, Freisling H, Imamura F, et al. (2022). Milk intake and incident stroke and CHD in populations of European descent: a Mendelian randomisation study. Br J Nutr. 128(9): 1789-1797. https://doi.org/10.1017/S0007114521004244 PMID: 34670632
449. Wang X, Kapoor PM, Auer PL, Dennis J, Dunning AM, Wang Q, et al. (2022). Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women. Sci Rep. 12(1): 6199. https://doi.org/10.1038/s41598-022-10121-2 PMID: 35418701
450. Watts EL, Perez-Cornago A, Fensom GK, Smith-Byrne K, Noor U, Andrews CD, et al. (2022). Circulating free testosterone and risk of aggressive prostate cancer: Prospective and Mendelian randomisation analyses in international consortia. Int J Cancer. 151(7): 1033-1046. https://doi.org/10.1002/ijc.34116 PMID: 35579976
451. Wedekind R, Rothwell JA, Viallon V, Keski-Rahkonen P, Schmidt JA, Chajes V, et al. (2022). Determinants of blood acylcarnitine concentrations in healthy individuals of the European Prospective Investigation into Cancer and Nutrition. Clin Nutr. 41(8): 1735-1745. https://doi.org/10.1016/j.clnu.2022.05.020 PMID: 35779425
452. Wisnuwardani RW, De Henauw S, Forsner M, Gottrand F, Huybrechts I, Kafatos AG, et al. (2022). Adolescents’ dietary polyphenol intake in relation to serum total antioxidant capacity: the HELENA study. Int J Food Sci Nutr. 73(1): 71-81. https://doi.org/10.1080/09637486.2021.1910631 PMID: 33858286
453. Yuan L, Muli S, Huybrechts I, Nothlings U, Ahrens W, Scalbert A, et al. (2022). Assessment of Fruit and Vegetables Intake with Biomarkers in Children and Adolescents and Their Level of Validation: A Systematic Review. Metabolites. 12(2). https://doi.org/10.3390/metabo12020126 PMID: 35208201
454. Zouiouich S, Mariadassou M, Rue O, Vogtmann E, Huybrechts I, Severi G, et al. (2022). Comparison of Fecal Sample Collection Methods for Microbial Analysis Embedded within Colorectal Cancer Screening Programs. Cancer Epidemiol Biomarkers Prev. 31(2): 305-314. https://doi.org/10.1158/1055-9965.EPI-21-0188 PMID: 34782392