Comprehensive system biology analysis of microRNA-101-3p regulatory network identifies crucial genes and pathways in hepatocellular carcinoma DOI Creative Commons

Nasim Rahimi‐Farsi,

Abozar Ghorbani, Negar Mottaghi-Dastjerdi

et al.

Journal of Genetic Engineering and Biotechnology, Journal Year: 2025, Volume and Issue: 23(1), P. 100471 - 100471

Published: Feb. 18, 2025

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. This study aimed to explore the role hsa-miR-101-3p in HCC pathogenesis by identifying key genes and pathways. A comprehensive bioinformatics analysis revealed twelve hub (ETNK1, BICRA, IL1R1, KDM3A, ARID2, GSK3β, EZH2, NOTCH1, SMARCA4, FOS, CREB1, CASP3) highlighted their involvement crucial oncogenic pathways, including PI3K/Akt, mTOR, MAPK, TGF-β. Gene expression showed significant overexpression ETNK1, CASP3 tissues, correlating with poorer survival outcomes. Drug screening identified therapeutic candidates, Tazemetostat for EZH2 lithium compounds underscoring potential targeted treatment. These findings provide novel insights into complexity pathogenesis, suggesting that could serve as diagnostic or prognostic biomarkers targets. While bioinformatics-driven, this offers strong basis future clinical validation advance precision medicine HCC.

Language: Английский

Comprehensive system biology analysis of microRNA-101-3p regulatory network identifies crucial genes and pathways in hepatocellular carcinoma DOI Creative Commons

Nasim Rahimi‐Farsi,

Abozar Ghorbani, Negar Mottaghi-Dastjerdi

et al.

Journal of Genetic Engineering and Biotechnology, Journal Year: 2025, Volume and Issue: 23(1), P. 100471 - 100471

Published: Feb. 18, 2025

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. This study aimed to explore the role hsa-miR-101-3p in HCC pathogenesis by identifying key genes and pathways. A comprehensive bioinformatics analysis revealed twelve hub (ETNK1, BICRA, IL1R1, KDM3A, ARID2, GSK3β, EZH2, NOTCH1, SMARCA4, FOS, CREB1, CASP3) highlighted their involvement crucial oncogenic pathways, including PI3K/Akt, mTOR, MAPK, TGF-β. Gene expression showed significant overexpression ETNK1, CASP3 tissues, correlating with poorer survival outcomes. Drug screening identified therapeutic candidates, Tazemetostat for EZH2 lithium compounds underscoring potential targeted treatment. These findings provide novel insights into complexity pathogenesis, suggesting that could serve as diagnostic or prognostic biomarkers targets. While bioinformatics-driven, this offers strong basis future clinical validation advance precision medicine HCC.

Language: Английский

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