A prospective targeted serum metabolomics study of pancreatic cancer in postmenopausal women

Li 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

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

To examine the association between metabolic dereg-q-value < 0.25 was indicated statistically significant. ulation and pancreatic cancer, we conducted a two-stage Logistic regression model and ROC curve analysis were case–control targeted metabolomics study using pre-used to evaluate the clinical utility of the metabolites. diagnostic sera collected one year before diagnosis in the Among 30 case/control pairs, 1-methyl-L-tryptophan Women's Health Initiative study. We used the LC/MS to (L-1MT) was significantly lower in the cases than in the quantitate 470 metabolites in 30 matched case/control controls (log 2 FC ¼ 0.35; q-value ¼ 0.03). The area pairs. From 180 detectable metabolites, we selected 14 under the ROC curve was 0.83 in the discrimination metabolites to be validated in additional 18 matched analysis based on the levels of L-1MT, acadesine, and case/control pairs. We used the paired t test to compare aspartic acid. None of the metabolites was validated in the concentrations of each metabolite between cases additional independent 18 case/control pairs. No sig- and controls and used the log fold change (FC) to nificant association was found between the examined indicate the magnitude of difference. FDR adjusted metabolites and undiagnosed pancreatic cancer.

Original languageEnglish (US)
Pages (from-to)237-245
Number of pages9
JournalCancer Prevention Research
Volume12
Issue number4
DOIs
StatePublished - Apr 1 2019

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'A prospective targeted serum metabolomics study of pancreatic cancer in postmenopausal women'. Together they form a unique fingerprint.

Cite this