4.7 Article

Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer

Journal

CLINICAL CANCER RESEARCH
Volume 18, Issue 5, Pages 1352-1363

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-11-1539

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Funding

  1. UCLA Institute for Molecular Medicine and Hirshberg Foundation for Pancreatic Cancer Research
  2. UCLA Pancreas Tissue Bank
  3. UCLA Scholars in Translational Medicine Program
  4. USHHS Ruth L. Kirschstein Institutional NRSA [T32 CA009056]
  5. American Association for Cancer Research

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Purpose: To carry out an integrative profile of human pancreatic ductal adenocarcinoma (PDAC) to identify prognosis-significant genes and their related pathways. Experimental Design: A concordant survival-based whole genome in silico array analysis of DNA copy number, and mRNA and miRNA expression in 25 early-stage PDAC was carried out. A novel composite score simultaneously integrated gene expression with regulatory mechanisms to identify the signature genes with the most levels of prognosis-significant evidence. The predominant signaling pathways were determined via a pathway-based approach. Independent patient cohorts (n = 148 and 42) were then used as in vitro validation of the array findings. Results: The composite score identified 171 genes in which expressions were able to define two prognosis subgroups (P = 3.8e-5). Eighty-eight percent (151 of 171) of the genes were regulated by prognosis-significant miRNAs. The phosphoinositide 3-kinase/AKT pathway and SRC signaling were densely populated by prognosis-significant genes and driven by genomic amplification of SRC and miRNA regulation of p85 alpha and CBL. On tissue microarray validation (n = 148), p85 alpha protein expression was associated with improved survival for all patients (P = 0.02), and activated P-SRC (Y418) was associated shorter survival for patients with low-grade histology tumors (P = 0.04). Interacting P-SRC and p85 alpha revealed that they define two distinct PDAC patient subgroups (P = 0.0066). Furthering the importance of these pathways, CBL protein expression was associated with improved survival (P = 0.03) on a separate cohort (n = 42). Conclusions: These pathways and related genes may represent putative clinical biomarkers and possible targets of individualized therapy in the distinct patient subgroups they define. Clin Cancer Res; 18(5); 1352-63. (C)2012 AACR.

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