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)Research in context
Autor: | Rhea Harewood, Joseph A. Rothwell, Jelena Bešević, Vivian Viallon, David Achaintre, Audrey Gicquiau, Sabina Rinaldi, Roland Wedekind, Cornelia Prehn, Jerzy Adamski, Julie A. Schmidt, Inarie Jacobs, Anne Tjønneland, Anja Olsen, Gianluca Severi, Rudolf Kaaks, Verena Katzke, Matthias B. Schulze, Marcela Prada, Giovanna Masala, Claudia Agnoli, Salvatore Panico, Carlotta Sacerdote, Paula Gabriela Jakszyn, Maria-Jose Sánchez, Jesús Castilla, María-Dolores Chirlaque, Amaia Aizpurua Atxega, Bethany van Guelpen, Alicia K. Heath, Keren Papier, Tammy Y.N. Tong, Scott A. Summers, Mary Playdon, Amanda J. Cross, Pekka Keski-Rahkonen, Véronique Chajès, Neil Murphy, Marc J. Gunter |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | EBioMedicine, Vol 101, Iss , Pp 105024- (2024) |
Druh dokumentu: | article |
ISSN: | 2352-3964 75776340 |
DOI: | 10.1016/j.ebiom.2024.105024 |
Popis: | Summary: Background: Altered lipid metabolism is a hallmark of cancer development. However, the role of specific lipid metabolites in colorectal cancer development is uncertain. Methods: In a case–control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined associations between pre-diagnostic circulating concentrations of 97 lipid metabolites (acylcarnitines, glycerophospholipids and sphingolipids) and colorectal cancer risk. Circulating lipids were measured using targeted mass spectrometry in 1591 incident colorectal cancer cases (55% women) and 1591 matched controls. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between concentrations of individual lipid metabolites and metabolite patterns with colorectal cancer risk. Findings: Of the 97 assayed lipids, 24 were inversely associated (nominally p |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |