| Literature DB >> 30723176 |
Li Jiao1,2,3,4,5, Suman Maity6, Cristian Coarfa3,6, Kimal Rajapakshe7, Liang Chen8,2, Feng Jin6, Vasanta Putluri6, Lesley F Tinker9, Qianxing Mo6, Fengju Chen3, Subrata Sen10, Haleh Sangi-Hyghpeykar11, Hashem B El-Serag8,2,3,4, Nagireddy Putluri3,6,7.
Abstract
To examine the association between metabolic deregulation and pancreatic cancer, we conducted a two-stage case-control targeted metabolomics study using prediagnostic sera collected one year before diagnosis in the Women's Health Initiative study. We used the LC/MS to quantitate 470 metabolites in 30 matched case/control pairs. From 180 detectable metabolites, we selected 14 metabolites to be validated in additional 18 matched case/control pairs. We used the paired t test to compare the concentrations of each metabolite between cases and controls and used the log fold change (FC) to indicate the magnitude of difference. FDR adjusted q-value < 0.25 was indicated statistically significant. Logistic regression model and ROC curve analysis were used to evaluate the clinical utility of the metabolites. Among 30 case/control pairs, 1-methyl-l-tryptophan (L-1MT) was significantly lower in the cases than in the controls (log2 FC = -0.35; q-value = 0.03). The area under the ROC curve was 0.83 in the discrimination analysis based on the levels of L-1MT, acadesine, and aspartic acid. None of the metabolites was validated in additional independent 18 case/control pairs. No significant association was found between the examined metabolites and undiagnosed pancreatic cancer. ©2019 American Association for Cancer Research.Entities:
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Year: 2019 PMID: 30723176 PMCID: PMC6445762 DOI: 10.1158/1940-6207.CAPR-18-0201
Source DB: PubMed Journal: Cancer Prev Res (Phila) ISSN: 1940-6215