Prospective metabolomics study identifies potential novel blood metabolites associated with pancreatic cancer risk

Using a metabolomics approach, we systematically searched for circulating metabolite biomarkers for pancreatic cancer risk in a case‐control study nested within two prospective Shanghai cohorts. Included in our study were 226 incident pancreatic cancer cases and their individually‐matched controls....

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Bibliographic Details
Published in:International journal of cancer 2018-11, Vol.143 (9), p.2161-2167
Main Authors: Shu, Xiang, Zheng, Wei, Yu, Danxia, Li, Hong‐Lan, Lan, Qing, Yang, Gong, Cai, Hui, Ma, Xiao, Rothman, Nathaniel, Gao, Yu‐Tang, Jia, Wei, Xiang, Yong‐Bing, Shu, Xiao‐Ou
Format: Article
Language:English
Subjects:
Adult
Aged
biomarkers
Biomarkers, Tumor - blood
Blood
Cancer
Case-Control Studies
Coumarin
Female
Follow-Up Studies
Health risk assessment
Health risks
Humans
Male
Mass spectrometry
Mass spectroscopy
Medical research
Metabolites
Metabolomics
Middle Aged
nested case‐control study
Pancreatic cancer
Pancreatic Neoplasms - blood
Pancreatic Neoplasms - diagnosis
Picolinic acid
Prognosis
Prospective Studies
Risk Factors
Statistical analysis
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Summary:Using a metabolomics approach, we systematically searched for circulating metabolite biomarkers for pancreatic cancer risk in a case‐control study nested within two prospective Shanghai cohorts. Included in our study were 226 incident pancreatic cancer cases and their individually‐matched controls. Untargeted mass spectrometry platforms were used to measure metabolites in blood samples collected prior to cancer diagnosis. Conditional logistic regression was performed to assess the associations of metabolites with pancreatic cancer risk. We identified 10 metabolites associated with pancreatic cancer, after accounting for multiple comparisons (the Benjamini‐Hochberg false discovery rate
ISSN:0020-7136
1097-0215
DOI:10.1002/ijc.31574