A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer

Hui Li; Shuoer Wang; Qianlan Yao; Yan Liu; Jing Yang; Lun Xu; Gong Yang

doi:10.3389/fonc.2021.624240

A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer

Front Oncol. 2021 May 27:11:624240. doi: 10.3389/fonc.2021.624240. eCollection 2021.

Authors

Hui Li¹, Shuoer Wang^{2

3

4}, Qianlan Yao^{4

5

6}, Yan Liu⁷, Jing Yang⁸, Lun Xu^{2

4}, Gong Yang^{1

4

9}

Affiliations

¹ Central Laboratory, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
² Department of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
³ Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.
⁴ Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
⁵ Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
⁶ Institute of Pathology, Fudan University, Shanghai, China.
⁷ Department of Gynecology, Weifang People's Hospital, Weifang, China.
⁸ Department of Anesthesiology and Postanesthesia Care Unit, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
⁹ Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China.

Abstract

Aims: Dysregulated long noncoding RNAs (lncRNAs) contributing to ovarian cancer (OC) development may serve as prognostic biomarker. We aimed to explore a lncRNA signature to serve as prognostic biomarker of OC.

Methods: Univariate Cox regression was conducted on the lncRNA expression dataset from the TCGA cohort, and 246 genes significantly associated with survival were retained for building a model. A random forest survival model was carried out, and a model was developed using 6 genes with the highest frequency. The selected genes were applied in a Cox multivariate regression model for prognostic prediction by calculating the risk score. We also used CCK-8, EdU, and colony formation assays to validate the function of these lncRNAs in OC cells.

Results: This study confirmed that the 6-lncRNA combined signature was related to OC prognosis. Systematic analysis demonstrated that lncRNA-associated genes were enriched in oncogenic signalling pathways. Five out of the 6 lncRNAs participated in OC proliferation.

Conclusion: We established a 6-lncRNA combined signature for OC prognosis, which may serve as powerful prognostic biomarker for OC after further validation.

Keywords: TCGA; bioinformatics analysis; long non-coding RNA; ovarian cancer; prognostic biomarker.