Interaction of serum microRNAs and serum folate with the susceptibility to pancreatic cancer

Yao Tian, Yibo Xue, Gechong Ruan, Kailiang Cheng, Jing Tian, Qian Qiu, Min Xiao, Hui Li, Hong Yang, Li Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Objectives: The aim of this study was to investigate whether 6 candidate serum miRNAs and their interactions with serum folate level were associated with the risk for pancreatic cancer (PC). Method: A hospital-based case-control study including 74 incident PC cases and 74 controls was conducted. Serum folate and miRNAs were determined by radioimmunoassay and real-time quantitative polymerase chain reaction, respectively. Cell lines AsPC-1 and PANC-1 were used for in vitro study. Results: MiR-16 was elevated (P = 0.030-0.043) and miR-103 was reduced (P = 0.018-0.020) in PC after adjustment for age, sex, and smoking; however, after additional adjustment for folate, only miR-103 was significantly different between cases and controls (P = 0.010). After converting the relative expression of miRNAs into binary variables and adjusting for age, sex, smoking, and folate, the subjects with low miR-103 or low miR-601 were observed to have a higher risk for PC, with odds ratios of 2.33 (95% confidence interval, 1.06-5.10) and 2.37 (95% confidence interval, 1.07-5.26), respectively. Multifactor dimensionality reduction analysis showed a significant interaction for miR-16, folate, and smoking (cross-validation consistency, 10/10; mean testing accuracy, 0.696; P = 0.013). Interaction between miR-16 and folate was also verified in the AsPC-1 cells. Conclusion: Serum miR-103; miR-601; and interactions among serum miR-16, folate, and smoking are associated with PC.

Original languageEnglish (US)
Pages (from-to)23-30
Number of pages8
JournalPancreas
Volume44
Issue number1
DOIs
StatePublished - Jan 2015
Externally publishedYes

Keywords

  • Folate
  • MicroRNA
  • Pancreatic cancer
  • Risk

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Hepatology
  • Endocrinology

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