Associations between genetically predicted levels of blood metabolites and pancreatic cancer risk

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive solid malignancies, which is featured by systematic metabolism. Thus, a better understanding of metabolic dysregulation in PDAC is important to better characterize its etiology. Here, we performed a large metabolome‐wide associati...

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Bibliographic Details
Published in:International journal of cancer 2023-07, Vol.153 (1), p.103-110
Main Authors: Zhong, Hua, Liu, Shuai, Zhu, Jingjing, Wu, Lang
Format: Article
Language:English
Subjects:
Adenocarcinoma
Cancer
Carcinoma, Pancreatic Ductal - pathology
Digestive system
Etiology
Flavonoids
genetic instruments
gut microbiome
Humans
Intestinal microflora
Malignancy
Medical research
Metabolites
Metabolome - genetics
Microbiomes
Microbiota
Pancreas - pathology
Pancreatic cancer
Pancreatic Neoplasms
Pancreatic Neoplasms - pathology
Prediction models
risk
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Summary:Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive solid malignancies, which is featured by systematic metabolism. Thus, a better understanding of metabolic dysregulation in PDAC is important to better characterize its etiology. Here, we performed a large metabolome‐wide association study (MWAS) to systematically explore associations between genetically predicted metabolite levels in blood and PDAC risk. Using data from 881 subjects of European descent in the TwinsUK Project, comprehensive genetic models were built to predict serum metabolite levels. These prediction models were applied to the genetic data of 8275 cases and 6723 controls included in the PanScan (I, II and III) and PanC4 consortia. After assessing the metabolite‐PDAC risk associations by a slightly modified TWAS/FUSION framework, we identified five metabolites (including two dipeptides) showing significant associations with PDAC risk at false discovery rate (FDR)
ISSN:0020-7136
1097-0215
DOI:10.1002/ijc.34466