Mechanosensitive ion channel-related genes in hepatocellular carcinoma: Unraveling prognostic genes and their roles in drug resistance and immune modulation
Xinyan Huo , Shiyu Jiang , Sihuang Wu , Qinghai Lian , Hui Chen
{"title":"Mechanosensitive ion channel-related genes in hepatocellular carcinoma: Unraveling prognostic genes and their roles in drug resistance and immune modulation","authors":"Xinyan Huo , Shiyu Jiang , Sihuang Wu , Qinghai Lian , Hui Chen","doi":"10.1016/j.livres.2025.01.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and aims</h3><div>Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, and its etiology involves a complex interplay of genetic and environmental factors. Despite advancements in our understanding of HCC biology and the development of novel therapeutic strategies, the molecular mechanisms underlying its onset, progression, and resistance to therapy remain largely vague. This study aimed to investigate the role of mechanosensitive ion channel-related genes (MICRGs) in HCC, focusing on their potential as prognostic biomarkers and their involvement in immune modulation and drug resistance.</div></div><div><h3>Methods</h3><div>A comprehensive analysis was conducted using The Cancer Genome Atlas database to identify MICRGs that are upregulated in HCC. Gene expression profiling, bioinformatics tools, and functional experiments were employed to elucidate the role of these channels. In addition, protein–protein interaction (PPI) network analyses and enrichment analyses were performed to explore the biological significance of these genes. An immune cell infiltration analysis was also conducted to understand MICRG-related immune landscape. Single-cell RNA sequencing (scRNA-seq) data were utilized to identify MICRGs in different cell types within the HCC tissue. Deep-learning neural network analysis across patient cohorts was conducted to identify genes associated with sorafenib resistance. Knockdown experiments, cell viability assays, and apoptosis assays on HCC cell lines were performed to examine the role of Piezo-type mechanosensitive ion channel component 1 (<em>PIEZO1</em>) in sorafenib resistance.</div></div><div><h3>Results</h3><div>The analysis identified a subset of MICRGs, including <em>PIEZO1</em>, that were significantly upregulated in HCC and associated with poor prognosis. The PPI network analysis revealed complex interactions among these genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses proposed the involvement of these genes in calcium signaling pathways. Immune cell infiltration analysis demonstrated distinct associations between MICRGs and various immune subpopulations, highlighting their potential roles in immune modulation. scRNA-seq data indicated the upregulation of MICRGs in various cell types in HCC tissues, particularly in endothelial cells and tumor-associated macrophages. Deep-learning neural network analysis across different patient cohorts identified <em>PIEZO1</em> as a crucial regulator of sorafenib resistance in HCC, which was further validated by functional assays on HCC cell lines.</div></div><div><h3>Conclusions</h3><div>This study provides evidence that MICRGs, particularly <em>PIEZO1</em>, take on crucial roles in HCC progression and drug resistance. The upregulation of <em>PIEZO1</em> in HCC cells is associated with poor prognosis and resistance to sorafenib. These findings indicate that <em>PIEZO1</em> could serve as a potential therapeutic target for overcoming drug resistance and a prognostic biomarker in HCC. Future studies should focus on validating these findings in larger patient cohorts and exploring the functional implications of targeting <em>PIEZO1</em> in preclinical models.</div></div>","PeriodicalId":36741,"journal":{"name":"Liver Research","volume":"9 1","pages":"Pages 36-48"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Liver Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542568425000029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background and aims
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, and its etiology involves a complex interplay of genetic and environmental factors. Despite advancements in our understanding of HCC biology and the development of novel therapeutic strategies, the molecular mechanisms underlying its onset, progression, and resistance to therapy remain largely vague. This study aimed to investigate the role of mechanosensitive ion channel-related genes (MICRGs) in HCC, focusing on their potential as prognostic biomarkers and their involvement in immune modulation and drug resistance.
Methods
A comprehensive analysis was conducted using The Cancer Genome Atlas database to identify MICRGs that are upregulated in HCC. Gene expression profiling, bioinformatics tools, and functional experiments were employed to elucidate the role of these channels. In addition, protein–protein interaction (PPI) network analyses and enrichment analyses were performed to explore the biological significance of these genes. An immune cell infiltration analysis was also conducted to understand MICRG-related immune landscape. Single-cell RNA sequencing (scRNA-seq) data were utilized to identify MICRGs in different cell types within the HCC tissue. Deep-learning neural network analysis across patient cohorts was conducted to identify genes associated with sorafenib resistance. Knockdown experiments, cell viability assays, and apoptosis assays on HCC cell lines were performed to examine the role of Piezo-type mechanosensitive ion channel component 1 (PIEZO1) in sorafenib resistance.
Results
The analysis identified a subset of MICRGs, including PIEZO1, that were significantly upregulated in HCC and associated with poor prognosis. The PPI network analysis revealed complex interactions among these genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses proposed the involvement of these genes in calcium signaling pathways. Immune cell infiltration analysis demonstrated distinct associations between MICRGs and various immune subpopulations, highlighting their potential roles in immune modulation. scRNA-seq data indicated the upregulation of MICRGs in various cell types in HCC tissues, particularly in endothelial cells and tumor-associated macrophages. Deep-learning neural network analysis across different patient cohorts identified PIEZO1 as a crucial regulator of sorafenib resistance in HCC, which was further validated by functional assays on HCC cell lines.
Conclusions
This study provides evidence that MICRGs, particularly PIEZO1, take on crucial roles in HCC progression and drug resistance. The upregulation of PIEZO1 in HCC cells is associated with poor prognosis and resistance to sorafenib. These findings indicate that PIEZO1 could serve as a potential therapeutic target for overcoming drug resistance and a prognostic biomarker in HCC. Future studies should focus on validating these findings in larger patient cohorts and exploring the functional implications of targeting PIEZO1 in preclinical models.