Identification and Validation of Core Genes As Promising Diagnostic Signature in Hepatocellular Carcinoma Based on Integrated Bioinformatics Approach

Overview

Journal Sci Rep

Specialty Science

Date 2022 Nov 9

PMID 36351994

Authors

Pradeep Kumar

Amit Kumar Singh

Kavindra Nath Tiwari

Sunil Kumar Mishra

Vishnu D Rajput

Tatiana Minkina

Simona Cavalu

Ovidiu Pop

Affiliations

Soon will be listed here.

Abstract

The primary objective of this investigation was to determine the hub genes of hepatocellular carcinoma (HCC) through an in silico approach. In the current context of the increased incidence of liver cancers, this approach could be a useful prognostic biomarker and HCC prevention target. This study aimed to examine hub genes for immune cell infiltration and their good prognostic characteristics for HCC research. Human genes selected from databases (Gene Cards and DisGeNET) were used to identify the HCC markers. Further, classification of the hub genes from communicating genes was performed using data derived from the targets' protein-protein interaction (PPI) platform. The expression as well as survival studies of all these selected genes were validated by utilizing databases such as GEPIA2, HPA, and immune cell infiltration. Based on the studies, five hub genes (TP53, ESR1, AKT1, CASP3, and JUN) were identified, which have been linked to HCC. They may be an important prognostic biomarker and preventative target of HCC. In silico analysis revealed that out of five hub genes, the TP53 and ESR1 hub genes potentially act as key targets for HCC prevention and treatment.

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