Differential gene expression analysis of peripheral blood mononuclear cells reveals novel test for early detection of pancreatic cancer

Michael J. Baine, Melanie Menning, Lynette M. Smith, Kavita Mallya, Sukhwinder Kaur, Satyanarayana Rachagani, Subhankar Chakraborty, Aaron R. Sasson, Randall E. Brand, Surinder K. Batra

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Background: We sought to validate global microarray results indicating the differential expression of 383 genes in Peripheral Blood Mononuclear Cells (PBMCs) from patients with pancreatic cancer (PC) and to further evaluate their PC diagnostic potential. Methods and materials: In total, 177 patients were recruited (47 healthy controls (HC), 35 chronic pancreatitis (CP) patients, and 95 PC patients). PBMC expressions of six genes from our previous study (ANXA3, ARG1, CA5B, F5, SSBP2, and TBC1D8) along with four new genes (MIC1, NGAL, MUC1, and MUC16) were analyzed using multiplex Q-RT PCR. Results: Differential expressions of 5 of the 6 genes previously identified by PBMC microarray were validated in this study. Multivariate models for PBMC gene expression were attempted to determine if any combination was diagnostically superior to CA19-9 alone. We found that addition of PBMC CA5B, F5, SSBP2, and MIC1 expression levels to CA19-9 significantly improved CA19-9's diagnostic abilities when comparing resectable PC to CP patients (p=0.023). Conclusions: Results of our previous study were validated, indicating reproducibility of PC-associated PBMC expression profiling. We identified a score-based model that can differentiate resectable PC from CP better than CA19-9, potentiating that PBMC differential expression analysis may offer a novel tool for early PC diagnosis.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalCancer Biomarkers
Volume11
Issue number1
DOIs
StatePublished - 2011

Keywords

  • CA19-9
  • PBMC
  • Pancreatic cancer
  • chronic pancreatitis
  • diagnosis

ASJC Scopus subject areas

  • Genetics
  • Oncology
  • Cancer Research

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