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bioRxiv · 10.1101/2022.07.20.500640

Identification of prognostic biomarkers for suppressing tumorigenesis and metastasis of Hepatocellular carcinoma through transcriptome analysis

Mishra, D.·Mishra, A.·Singh, M. P.
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Abstract

Cancer is one of the deadliest diseases developed through tumorigenesis and could be fatal if reached at metastatic phase. The novality of present investigation is to explore the prognostic biomarkers in hepatocellular carcinoma (HCC) that could develop glioblastoma multiforme (GBM) due to metastasis. The analysis was done using RNA-Seq datasets for both HCC (PRJNA494560 and PRJNA347513) and GBM (PRJNA494560 and PRJNA414787) from Gene Expression Omnibus (GEO). This study identified 13 hub genes found to be overexpressed in both GBM and HCC. Promoter methylation study showed these genes to be hypomethylated. Validation through genetic alteration and missense mutations resulted in chromosomal instability leading to improper chromosome segregation causing aneuploidy. A 13-gene predictive model was obtained and validated using KM plot. These hub genes could be prognostic biomarkers and potential therapeutic targets, inhibition of which could suppress tumorigenesis and metastasis.

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Mishra, D., Mishra, A., Singh, M. P.. 2022-07-21. Identification of prognostic biomarkers for suppressing tumorigenesis and metastasis of Hepatocellular carcinoma through transcriptome analysis. https://doi.org/10.1101/2022.07.20.500640

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