TY  - JOUR
AU  - Kliemann, Nathalie
AU  - Viallon, Vivian
AU  - Murphy, Neil
AU  - Beeken, Rebecca J
AU  - Rothwell, Joseph A
AU  - Rinaldi, Sabina
AU  - Assi, Nada
AU  - van Roekel, Eline H
AU  - Schmidt, Julie A
AU  - Borch, Kristin Benjaminsen
AU  - Agnoli, Claudia
AU  - Rosendahl, Ann H
AU  - Sartor, Hanna
AU  - Huerta, José María
AU  - Tjønneland, Anne
AU  - Halkjær, Jytte
AU  - Bueno-de-Mesquita, Bas
AU  - Gicquiau, Audrey
AU  - Achaintre, David
AU  - Aleksandrova, Krasimira
AU  - Schulze, Matthias B
AU  - Heath, Alicia K
AU  - Tsilidis, Konstantinos K
AU  - Masala, Giovanna
AU  - Panico, Salvatore
AU  - Kaaks, Rudolf
AU  - Fortner, Renée T
AU  - Van Guelpen, Bethany
AU  - Dossus, Laure
AU  - Scalbert, Augustin
AU  - Keun, Hector C
AU  - Travis, Ruth C
AU  - Jenab, Mazda
AU  - Johansson, Mattias
AU  - Ferrari, Pietro
AU  - Gunter, Marc J
TI  - Metabolic signatures of greater body size and their associations with risk of colorectal and endometrial cancers in the European Prospective Investigation into Cancer and Nutrition.
JO  - BMC medicine
VL  - 19
IS  - 1
SN  - 1741-7015
CY  - Heidelberg [u.a.]
PB  - Springer
M1  - DKFZ-2021-00988
SP  - 101
PY  - 2021
AB  - The mechanisms underlying the obesity-cancer relationship are incompletely understood. This study aimed to characterise metabolic signatures of greater body size and to investigate their association with two obesity-related malignancies, endometrial and colorectal cancers, and with weight loss within the context of an intervention study.Targeted mass spectrometry metabolomics data from 4326 participants enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort and 17 individuals from a single-arm pilot weight loss intervention (Intercept) were used in this analysis. Metabolic signatures of body size were first determined in discovery (N = 3029) and replication (N = 1297) sets among EPIC participants by testing the associations between 129 metabolites and body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) using linear regression models followed by partial least squares analyses. Conditional logistic regression models assessed the associations between the metabolic signatures with endometrial (N = 635 cases and 648 controls) and colorectal (N = 423 cases and 423 controls) cancer risk using nested case-control studies in EPIC. Pearson correlation between changes in the metabolic signatures and weight loss was tested among Intercept participants.After adjustment for multiple comparisons, greater BMI, WC, and WHR were associated with higher levels of valine, isoleucine, glutamate, PC aa C38:3, and PC aa C38:4 and with lower levels of asparagine, glutamine, glycine, serine, lysoPC C17:0, lysoPC C18:1, lysoPC C18:2, PC aa C42:0, PC ae C34:3, PC ae C40:5, and PC ae C42:5. The metabolic signature of BMI (OR1-sd 1.50, 95
KW  - Cancer (Other)
KW  - Metabolomics (Other)
KW  - Obesity (Other)
KW  - Weight loss (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:33926456
C2  - pmc:PMC8086283
DO  - DOI:10.1186/s12916-021-01970-1
UR  - https://inrepo02.dkfz.de/record/168680
ER  -