American Association for Cancer Research
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Supplementary Figure 3 from Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer

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journal contribution
posted on 2023-03-31, 16:50 authored by Timothy R. Donahue, Linh M. Tran, Reginald Hill, Yunfeng Li, Anne Kovochich, Joseph H. Calvopina, Sanjeet G. Patel, Nanping Wu, Antreas Hindoyan, James J. Farrell, Xinmin Li, David W. Dawson, Hong Wu

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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 p85α and CBL. On tissue microarray validation (n = 148), p85α 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 p85α 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. ©2012 AACR.

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