Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort

Joseph A Rothwell, Neil Murphy, Jelena Bešević, Nathalie Kliemann, Mazda Jenab, Pietro Ferrari, David Achaintre, Audrey Gicquiau, Béatrice Vozar, Augustin Scalbert, Inge Huybrechts, Heinz Freisling, Cornelia Prehn, Jerzy Adamski, Amanda J Cross, Valeria Maria Pala, Marie-Christine Boutron-Ruault, Christina C Dahm, Kim Overvad, Inger Torhild GramTorkjel M Sandanger, Guri Skeie, Paula Jakszyn, Kostas K Tsilidis, Krasimira Aleksandrova, Matthias B Schulze, Bethany van Guelpen, Stina Bodén, Maria-José Sánchez, Julie A Schmidt, Verena Katzke, Tilman Kühn, Sandra Colorado-Yohar, Rosario Tumino, Bas Bueno-de-Mesquita, Paolo Vineis, Giovanna Masala, Salvatore Panico, Anne Kirstine Eriksen, Anne Tjønneland, Dagfinn Aune, Elisabete Weiderpass, Gianluca Severi, Véronique Chajès, Marc J Gunter

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

BACKGROUND & AIMS: 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.

METHODS: 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.

RESULTS: 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.

CONCLUSIONS: 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.

Original languageEnglish
JournalClinical Gastroenterology and Hepatology
Early online date03 Dec 2020
DOIs
Publication statusEarly online date - 03 Dec 2020
Externally publishedYes

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