Publications

1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. Georgeson P, Steinfelder RS, Harrison TA, Pope BJ, Zaidi SH, Qu C, et al. (2024). Genotoxic colibactin mutational signature in colorectal cancer is associated with clinicopathological features, specific genomic alterations and better survival. medRxiv. https://doi.org/10.1101/2023.03.10.23287127 PMID: 37090539
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. 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
76. 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
77. 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
78. 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
79. 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
80. 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
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