TITLE:
Model Construction and Identification of Genome Instability-Associated LncRNA Signature Markers in Bladder Cancer
AUTHORS:
Jun Li, Hui Pan, Xiaowu Pi, Ying Xiong
KEYWORDS:
Bladder Cancer, LncRNA, Genomic Instability, Biomarkers, Bioinformatics
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.10 No.1,
January
17,
2022
ABSTRACT: Background: Studies have shown that long non-coding RNA (LncRNA) plays a critical role in maintaining genomic instability. The correlation between lncRNA and genomic instability is still worth exploring in bladder cancer as a new tumour marker. Methods: Therefore, combined with the lncRNA expression profile and somatic mutation profile of bladder cancer, we established a computing framework of lncRNA related to genomic instability and identified 58 new lncRNA related to genomic instability. Next, we identified a lncRNA signature (GILncSig), based on these 58 new genes, which divided patients into high-risk and low-risk groups. The clinical prognosis was significantly different and was further verified in an independent cohort of patients. Results: We confirmed that GILncSig is related to the genomic mutation rate of bladder cancer, suggesting that GILncSig can be used as an indicator of genomic instability. The results show that GILncSig has prognostic value independent of age, sex, grade, and stage and is vital in evaluating clinical prognosis. To sum up, this study provides a vital research basis and methods for further exploring the role of lncRNA in the genomic instability of bladder cancer and provides a theoretical basis for the identification of bladder cancer biomarkers related to genomic instability.