Genomic Instability of Mutation-Derived Gene Prognostic Signatures for Hepatocellular Carcinoma
| Autor: | Ze-bing Song, Yang Yu, Shao-Qiang Li, Guo-Pei Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Genome instability
Oncology medicine.medical_specialty QH301-705.5 ICGC Cell and Developmental Biology Internal medicine medicine EPHB6 prognostic signature Biology (General) Stage (cooking) Original Research Framingham Risk Score business.industry hepatocellular carcinoma Cell Biology TCGA Nomogram genomic instability medicine.disease digestive system diseases Biomarker (cell) RPS6KA2 Hepatocellular carcinoma business Developmental Biology |
| Zdroj: | Frontiers in Cell and Developmental Biology, Vol 9 (2021) Frontiers in Cell and Developmental Biology |
| ISSN: | 2296-634X |
| DOI: | 10.3389/fcell.2021.728574 |
| Popis: | Hepatocellular carcinoma (HCC) is one of the major cancer-related deaths worldwide. Genomic instability is correlated with the prognosis of cancers. A biomarker associated with genomic instability might be effective to predict the prognosis of HCC. In the present study, data of HCC patients from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases were used. A total of 370 HCC patients from the TCGA database were randomly classified into a training set and a test set. A prognostic signature of the training set based on nine overall survival (OS)–related genomic instability–derived genes (SLCO2A1, RPS6KA2, EPHB6, SLC2A5, PDZD4, CST2, MARVELD1, MAGEA6, and SEMA6A) was constructed, which was validated in the test and TCGA and ICGC sets. This prognostic signature showed more accurate prediction for prognosis of HCC compared with tumor grade, pathological stage, and four published signatures. Cox multivariate analysis revealed that the risk score could be an independent prognostic factor of HCC. A nomogram that combines pathological stage and risk score performed well compared with an ideal model. Ultimately, paired differential expression profiles of genes in the prognostic signature were validated at mRNA and protein level using HCC and paratumor tissues obtained from our institute. Taken together, we constructed and validated a genomic instability–derived gene prognostic signature, which can help to predict the OS of HCC and help us to explore the potential therapeutic targets of HCC. |
| Databáze: | OpenAIRE |
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