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Updated: Nov 2, 2025
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Published on: January 12, 2020
A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer
Hui Li1, Shuoer Wang2,3,4, Qianlan Yao4,5,6
1Central Laboratory, the Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
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.
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