» Articles » PMID: 38067357

Comprehensive Profiling and Therapeutic Insights into Differentially Expressed Genes in Hepatocellular Carcinoma

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2023 Dec 9
PMID 38067357
Authors
Affiliations
Soon will be listed here.
Abstract

: Drug repurposing is a strategy that complements the conventional approach of developing new drugs. Hepatocellular carcinoma (HCC) is a highly prevalent type of liver cancer, necessitating an in-depth understanding of the underlying molecular alterations for improved treatment. : We searched for a vast array of microarray experiments in addition to RNA-seq data. Through rigorous filtering processes, we have identified highly representative differentially expressed genes (DEGs) between tumor and non-tumor liver tissues and identified a distinct class of possible new candidate drugs. : Functional enrichment analysis revealed distinct biological processes associated with metal ions, including zinc, cadmium, and copper, potentially implicating chronic metal ion exposure in tumorigenesis. Conversely, up-regulated genes are associated with mitotic events and kinase activities, aligning with the relevance of kinases in HCC. To unravel the regulatory networks governing these DEGs, we employed topological analysis methods, identifying 25 hub genes and their regulatory transcription factors. In the pursuit of potential therapeutic options, we explored drug repurposing strategies based on computational approaches, analyzing their potential to reverse the expression patterns of key genes, including AURKA, CCNB1, CDK1, RRM2, and TOP2A. Potential therapeutic chemicals are alvocidib, AT-7519, kenpaullone, PHA-793887, JNJ-7706621, danusertibe, doxorubicin and analogues, mitoxantrone, podofilox, teniposide, and amonafide. : This multi-omic study offers a comprehensive view of DEGs in HCC, shedding light on potential therapeutic targets and drug repurposing opportunities.

Citing Articles

Integrating CT Radiomics and Clinical Features to Optimize TACE Technique Decision-Making in Hepatocellular Carcinoma.

Masthoff M, Irle M, Kaldewey D, Rennebaum F, Morgul H, Pohler G Cancers (Basel). 2025; 17(5).

PMID: 40075740 PMC: 11899091. DOI: 10.3390/cancers17050893.


Key oncogenes and candidate drugs for hepatitis-B-driven hepatocellular carcinoma progression.

Ruan L, Fang N, Zhao X, Chen W, Wu Z, Wu X Discov Oncol. 2025; 16(1):116.

PMID: 39903352 PMC: 11794919. DOI: 10.1007/s12672-025-01851-6.


An Integrated Framework to Identify Prognostic Biomarkers and Novel Therapeutic Targets in Hepatocellular Carcinoma-Based Disabilities.

Rahman M, Das A, Naeem N, Jabeen-E-Tahnim , Hossain M, Alam M Biology (Basel). 2025; 13(12.

PMID: 39765633 PMC: 11673266. DOI: 10.3390/biology13120966.


In Silico Analysis of Non-Conventional Oxidative Stress-Related Enzymes and Their Potential Relationship with Carcinogenesis.

Seiva F, Agneis M, de Almeida M, Caputo W, de Souza M, das Neves K Antioxidants (Basel). 2024; 13(11).

PMID: 39594421 PMC: 11591236. DOI: 10.3390/antiox13111279.


Integrating TCGA and Single-Cell Sequencing Data for Hepatocellular Carcinoma: A Novel Glycosylation (GLY)/Tumor Microenvironment (TME) Classifier to Predict Prognosis and Immunotherapy Response.

Wu Y, Chen J, Zhu R, Huang G, Zeng J, Yu H Metabolites. 2024; 14(1).

PMID: 38248854 PMC: 10818448. DOI: 10.3390/metabo14010051.

References
1.
Jing Q, Yuan C, Zhou C, Jin W, Wang A, Wu Y . Comprehensive analysis identifies CLEC1B as a potential prognostic biomarker in hepatocellular carcinoma. Cancer Cell Int. 2023; 23(1):113. PMC: 10262401. DOI: 10.1186/s12935-023-02939-1. View

2.
Robinson M, McCarthy D, Smyth G . edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2009; 26(1):139-40. PMC: 2796818. DOI: 10.1093/bioinformatics/btp616. View

3.
Zhang Z, Tan J, Wang F, Dao F, Zhang Z, Lin H . Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method. Front Bioeng Biotechnol. 2020; 8:254. PMC: 7122481. DOI: 10.3389/fbioe.2020.00254. View

4.
Lai Y, Wang K, Hsieh H, Yen W . Novel FLT3/AURK multikinase inhibitor is efficacious against sorafenib-refractory and sorafenib-resistant hepatocellular carcinoma. J Biomed Sci. 2022; 29(1):5. PMC: 8781143. DOI: 10.1186/s12929-022-00788-0. View

5.
Yang J, Heimbach J . New advances in the diagnosis and management of hepatocellular carcinoma. BMJ. 2020; 371:m3544. DOI: 10.1136/bmj.m3544. View