Data from A 15-Gene Immune, Stromal, and Proliferation Gene Signature that Significantly Associates with Poor Survival in Patients with Pancreatic Ductal Adenocarcinoma

Abstract

<div>AbstractPurpose:<p>Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with dismal survival rates. Tumor microenvironment (TME), comprising of immune cells and cancer-associated fibroblasts, plays a key role in driving poor prognosis and resistance to chemotherapy. Herein, we aimed to identify a TME-associated, risk-stratification gene biomarker signature in PDAC.</p>Experimental Design:<p>The initial biomarker discovery was performed in The Cancer Genome Atlas (TCGA, <i>n</i> = 163) transcriptomic data. This was followed by independent validation of the gene signature in the International Cancer Genome Consortium (ICGC, <i>n</i> = 95), E-MTAB-6134 (<i>n</i> = 288), and GSE71729 (<i>n</i> = 123) datasets for predicting overall survival (OS), and for its ability to detect poor molecular subtypes. Clinical validation and nomogram establishment was undertaken by performing multivariate Cox regression analysis.</p>Results:<p>Our biomarker discovery effort identified a 15-gene immune, stromal, and proliferation (ISP) gene signature that significantly associated with poor OS [HR, 3.90; 95% confidence interval (CI), 2.36–6.41; <i>P</i> < 0.0001]. This signature also robustly predicted survival in three independent validation cohorts ICGC [HR, 2.63 (1.56–4.41); <i>P</i> < 0.0001], E-MTAB-6134 [HR, 1.53 (1.14–2.04); <i>P</i> = 0.004], and GSE71729 [HR, 2.33 (1.49–3.63); <i>P</i> < 0.0001]. Interestingly, the ISP signature also permitted identification of poor molecular PDAC subtypes with excellent accuracy in all four cohorts; TCGA (AUC = 0.94), ICGC (AUC = 0.91), E-MTAB-6134 (AUC = 0.80), and GSE71729 (AUC = 0.83). The ISP-derived high-risk patients exhibited significantly poor OS in a clinical validation cohort [<i>n</i> = 119; HR, 2.62 (1.50–4.56); <i>P</i> = 0.0004]. A nomogram was established which included the ISP, CA19-9, and T- and N-stage for eventual clinical translation.</p>Conclusions:<p>We report a novel gene signature for risk-stratification and robust identification of patients with PDAC with poor molecular subtypes.</p></div>