基于基因组不稳定性相关 IneRNA 的宫颈癌 患者预后模型.

Combined with the expression profile of long non-coding RNA (IncRNA) and somatic mutation profile in the genome of cervical cancer in TCGA database, a computational framework based on mutation hypothesis was established. A total of 36 IncRNAs associated with genomic instability of cervical cancer were identified, and the function of their co-expressed genes was analyzed. The genes co-expressed with 36 IncRNAs were enriched in the 2-oxy-glutarate and 2-oxy-carboxylic acid metabolic pathways. Gene signatures (GILncSig) of two IncRNAs derived from genomic instability were determined, and the Train group was divided into a high-risk group and a low-risk group. The survival rates of the two groups were significantly different, which was further validated in the Test cohort. According to independent prognostic analysis, GILncSig was an independent prognostic factor associated with overall survival of cervical cancer patients. In conclusion, this study provides key methods and resources to further investigate the role of IncRNA in genomic instability, and provides a potential new pathway for identifying cancer biomarkers associated with genomic instability. [ABSTRACT FROM AUTHOR]