Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis

被引：93

作者：

Willis, Scooter ^{[1
]}

Villalobos, Victor M. ^{[2
]}

Gevaert, Olivier ^{[3
]}

Abramovitz, Mark ^{[1
]}

Williams, Casey ^{[1
]}

Sikic, Branimir I. ^{[3
]}

Leyland-Jones, Brian ^{[1
]}

机构：

[1] Avera Canc Inst, Dept Mol & Expt Med, Sioux Falls, SD USA

[2] UC Denver, Div Med Oncol, Denver, CO USA

[3] Stanford Univ, Stanford, CA 94305 USA

来源：

PLOS ONE | 2016年 / 11卷 / 02期

关键词：

SIGNATURE; SURVIVAL; BIOINFORMATICS; VALIDATION; GRADE;

D O I：

10.1371/journal.pone.0149183

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Purpose To discover novel prognostic biomarkers in ovarian serous carcinomas. Methods A meta-analysis of all single genes probes in the TCGA and HAS ovarian cohorts was performed to identify possible biomarkers using Cox regression as a continuous variable for overall survival. Genes were ranked by p-value using Stouffer's method and selected for statistical significance with a false discovery rate (FDR) <.05 using the Benjamini-Hochberg method. Results Twelve genes with high mRNA expression were prognostic of poor outcome with an FDR <.05 (AXL, APC, RAB11FIP5, C19orf2, CYBRD1, PINK1, LRRN3, AQP1, DES, XRCC4, BCHE, and ASAP3). Twenty genes with low mRNA expression were prognostic of poor outcome with an FDR <.05 (LRIG1, SLC33A1, NUCB2, POLD3, ESR2, GOLPH3, XBP1, PAXIP1, CYB561, POLA2, CDH1, GMNN, SLC37A4, FAM174B, AGR2, SDR39U1, MAGT1, GJB1, SDF2L1, and C9orf82). Conclusion A meta-analysis of all single genes identified thirty-two candidate biomarkers for their possible role in ovarian serous carcinoma. These genes can provide insight into the drivers or regulators of ovarian cancer and should be evaluated in future studies. Genes with high expression indicating poor outcome are possible therapeutic targets with known antagonists or inhibitors. Additionally, the genes could be combined into a prognostic multi-gene signature and tested in future ovarian cohorts.

引用

页数：6

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