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| 001 | 166199 | ||
| 005 | 20250821110121.0 | ||
| 024 | 7 | _ | |2 pmid |a pmid:33279777 |
| 024 | 7 | _ | |2 ISSN |a 1542-3565 |
| 024 | 7 | _ | |2 ISSN |a 1542-7714 |
| 024 | 7 | _ | |2 doi |a 10.1016/j.cgh.2020.11.045 |
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| 037 | _ | _ | |a DKFZ-2020-02701 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Rothwell, Joseph A |b 0 |
| 245 | _ | _ | |a Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort. |
| 260 | _ | _ | |a New York, NY |b Elsevier Science |c 2022 |
| 336 | 7 | _ | |2 DRIVER |a article |
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| 336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |b journal |m journal |s 1651057933_21832 |
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| 500 | _ | _ | |a 2022 May;20(5):e1061-e1082 |
| 520 | _ | _ | |a Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer (EPIC) cohort.Scores reflecting adherence to the WCRF/AICR recommendations (scale 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5,738 cancer-free EPIC participants with metabolomics data. Partial least squares regression was used to derive fatty acid and endogenous metabolite signatures of WCRF/AICR score in this group. In an independent set of 1,608 colorectal cancer cases and matched controls, odds ratios (OR) and 95% confidence intervals (CI) were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression.Higher WCRF/AICR scores were characterized by metabolic signatures of elevated odd-chain fatty acids, serine, glycine and specific phosphatidylcholines. Signatures were more strongly inversely associated with colorectal cancer risk (fatty acids: OR 0.51 per unit increase, 95% CI 0.29-0.90; endogenous metabolites: OR 0.62 per unit change, 95% CI 0.50-0.78) than the WCRF/AICR score (OR 0.93 per unit change, 95% CI 0.86-1.00) overall. Signature associations were stronger in male compared to female participants.Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer. |
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| 700 | 1 | _ | |a Murphy, Neil |b 1 |
| 700 | 1 | _ | |a Bešević, Jelena |b 2 |
| 700 | 1 | _ | |a Kliemann, Nathalie |b 3 |
| 700 | 1 | _ | |a Jenab, Mazda |b 4 |
| 700 | 1 | _ | |a Ferrari, Pietro |b 5 |
| 700 | 1 | _ | |a Achaintre, David |b 6 |
| 700 | 1 | _ | |a Gicquiau, Audrey |b 7 |
| 700 | 1 | _ | |a Vozar, Béatrice |b 8 |
| 700 | 1 | _ | |a Scalbert, Augustin |b 9 |
| 700 | 1 | _ | |a Huybrechts, Inge |b 10 |
| 700 | 1 | _ | |a Freisling, Heinz |b 11 |
| 700 | 1 | _ | |a Prehn, Cornelia |b 12 |
| 700 | 1 | _ | |a Adamski, Jerzy |b 13 |
| 700 | 1 | _ | |a Cross, Amanda J |b 14 |
| 700 | 1 | _ | |a Pala, Valeria Maria |b 15 |
| 700 | 1 | _ | |a Boutron-Ruault, Marie-Christine |b 16 |
| 700 | 1 | _ | |a Dahm, Christina C |b 17 |
| 700 | 1 | _ | |a Overvad, Kim |b 18 |
| 700 | 1 | _ | |a Gram, Inger Torhild |b 19 |
| 700 | 1 | _ | |a Sandanger, Torkjel M |b 20 |
| 700 | 1 | _ | |a Skeie, Guri |b 21 |
| 700 | 1 | _ | |a Jakszyn, Paula |b 22 |
| 700 | 1 | _ | |a Tsilidis, Kostas K |b 23 |
| 700 | 1 | _ | |a Aleksandrova, Krasimira |b 24 |
| 700 | 1 | _ | |a Schulze, Matthias B |b 25 |
| 700 | 1 | _ | |a Hughes, David J |b 26 |
| 700 | 1 | _ | |a van Guelpen, Bethany |b 27 |
| 700 | 1 | _ | |a Bodén, Stina |b 28 |
| 700 | 1 | _ | |a Sánchez, Maria-José |b 29 |
| 700 | 1 | _ | |a Schmidt, Julie A |b 30 |
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| 700 | 1 | _ | |a Colorado-Yohar, Sandra |b 33 |
| 700 | 1 | _ | |a Tumino, Rosario |b 34 |
| 700 | 1 | _ | |a Bueno-de-Mesquita, Bas |b 35 |
| 700 | 1 | _ | |a Vineis, Paolo |b 36 |
| 700 | 1 | _ | |a Masala, Giovanna |b 37 |
| 700 | 1 | _ | |a Panico, Salvatore |b 38 |
| 700 | 1 | _ | |a Eriksen, Anne Kirstine |b 39 |
| 700 | 1 | _ | |a Tjønneland, Anne |b 40 |
| 700 | 1 | _ | |a Aune, Dagfinn |b 41 |
| 700 | 1 | _ | |a Weiderpass, Elisabete |b 42 |
| 700 | 1 | _ | |a Severi, Gianluca |b 43 |
| 700 | 1 | _ | |a Chajès, Véronique |b 44 |
| 700 | 1 | _ | |a Gunter, Marc J |b 45 |
| 773 | _ | _ | |0 PERI:(DE-600)2102638-5 |a 10.1016/j.cgh.2020.11.045 |n 5 |p e1061-e1082 |t Clinical gastroenterology and hepatology |v 20 |x 1542-3565 |y 2022 |
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