posted on 2023-04-03, 21:41authored byLi Jiao, Suman Maity, Cristian Coarfa, Kimal Rajapakshe, Liang Chen, Feng Jin, Vasanta Putluri, Lesley F. Tinker, Qianxing Mo, Fengju Chen, Subrata Sen, Haleh Sangi-Hyghpeykar, Hashem B. El-Serag, Nagireddy Putluri
Supplemental figure 1
Funding
U.S. Department of Health and Human Services
NIH
Veterans Affairs Medical Center
Agilent Technologies
CPRIT
History
ARTICLE 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.