Differential expression of immune related genes in high-grade ovarian serous carcinoma.

Published

Journal Article

OBJECTIVE: To identify novel immunologic targets and biomarkers associated with overall survival (OS) in high-grade serous ovarian cancer (HGSC). METHODS: In this retrospective study, microarray data from 51 HGSC specimens were analyzed (Affymetrix HG-U133A). A panel of 183 immune/inflammatory response related genes linked to 279 probe sets was constructed a priori and screened. Associations between gene expression and OS were assessed using logrank tests. Multiple testing was addressed within the False Discovery Rate (FDR) framework. For external validation, TCGA Ovarian dataset and five GSE publicly available HGSC datasets were evaluated. RESULTS: In Duke data, 110 probe sets linked to 83 immunologic/inflammatory-related genes were differentially expressed in tumors from long versus short-term HGSC survivors (adjusted p < 0.05). In TCGA, concordant with the results from the Duke discovery cohort, high expression of one probe (IL6R) demonstrated a consistent significance and concordant association with higher expression in long-term HGSC survivors (Duke q-value = 0.022) and improved OS in the TCGA dataset (p-value = 0.015, HR = 0.8). Thirteen genes in GSE14764 (N = 4) and GSE26712 (N = 9) datasets had significant p-values and consistent concordant with Duke Data. Despite the significant associations of gene expression and OS in the individual GSE datasets, in the GSE meta-analysis no genes were consistently concordant and significantly associated with survival. CONCLUSIONS: Evaluation of IL6R expression may be warranted based on higher expression in long-term survivors and association with improved survival in advanced HGSC. The other candidate genes may also be of worthy of further exploration to enhance immuno-oncology drug discovery.

Full Text

Duke Authors

Cited Authors

  • Siamakpour-Reihani, S; Cobb, LP; Jiang, C; Zhang, D; Previs, RA; Owzar, K; Nixon, AB; Alvarez Secord, A

Published Date

  • March 2020

Published In

Volume / Issue

  • 156 / 3

Start / End Page

  • 662 - 668

PubMed ID

  • 31918995

Pubmed Central ID

  • 31918995

Electronic International Standard Serial Number (EISSN)

  • 1095-6859

Digital Object Identifier (DOI)

  • 10.1016/j.ygyno.2019.12.019

Language

  • eng

Conference Location

  • United States