{"title":"肝细胞癌中的TRP通道:综合孟德尔随机化和多组学分析强调MCOLN3/TRPV4是候选的双效生物标志物。","authors":"Zhe Xu, Chong Pang, Xundi Xu","doi":"10.1186/s40246-025-00807-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The causal relationship between Transient receptor potential (TRP) and hepatocellular carcinoma (HCC) remains unclear. Our study aimed to identify potential drug targets for HCC within the TRP family using Mendelian randomization (MR).</p><p><strong>Methods: </strong>The gene expression quantitative trait loci (eQTL) data for TRP was sourced from eQTLGen Consortium. Summary statistics for HCC came from European (nCase = 379, nControl = 475,259) and East Asian population (nCase = 2122, nControl = 159,201). We undertook main MR analysis in the European population using the R package 'TwosampleMR', with significance determined through Bonferroni correction. The East Asian population serves as the validation cohort. Sensitivity analyses include Steiger filtering, bidirectional MR analysis, multivariable MR (MVMR) analysis, and phenotype scanning for further validation of causal relationships.</p><p><strong>Results: </strong>Main MR analysis had identified two causal TRPs, MCOLN3 (OR = 1.59, 95% CI: 1.24-2.06) and TRPV4 (OR = 0.597, 95% CI: 0.407-0.875). No heterogeneity or pleiotropy was detected. The basal metabolic rate may partially mediate the causal effect of TRPV4 on HCC. Drugs such as cisplatin and Cannabidiol were identified for their potential action on causal TRPs. High expression of MCOLN3 may lead to increased sensitivity to sorafenib, while patients with low expression of MCOLN3 and TRPV4 were more likely to benefit from immunotherapy. Furthermore, we revealed the expression landscape of causal TRPs in HCC by performing integrated multi-omics analyses.</p><p><strong>Conclusions: </strong>This MR analysis revealed a causal relationship between TRP and HCC, and MCOLN3 and TRPV4 were potential drug targets. They also served as potential molecular biomarkers for the efficacy of immunotherapy and/or targeted therapy, providing a strong theoretical basis for the clinical application of TRPs.</p>","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":"19 1","pages":"87"},"PeriodicalIF":4.3000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12329876/pdf/","citationCount":"0","resultStr":"{\"title\":\"TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.\",\"authors\":\"Zhe Xu, Chong Pang, Xundi Xu\",\"doi\":\"10.1186/s40246-025-00807-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The causal relationship between Transient receptor potential (TRP) and hepatocellular carcinoma (HCC) remains unclear. Our study aimed to identify potential drug targets for HCC within the TRP family using Mendelian randomization (MR).</p><p><strong>Methods: </strong>The gene expression quantitative trait loci (eQTL) data for TRP was sourced from eQTLGen Consortium. Summary statistics for HCC came from European (nCase = 379, nControl = 475,259) and East Asian population (nCase = 2122, nControl = 159,201). We undertook main MR analysis in the European population using the R package 'TwosampleMR', with significance determined through Bonferroni correction. The East Asian population serves as the validation cohort. Sensitivity analyses include Steiger filtering, bidirectional MR analysis, multivariable MR (MVMR) analysis, and phenotype scanning for further validation of causal relationships.</p><p><strong>Results: </strong>Main MR analysis had identified two causal TRPs, MCOLN3 (OR = 1.59, 95% CI: 1.24-2.06) and TRPV4 (OR = 0.597, 95% CI: 0.407-0.875). No heterogeneity or pleiotropy was detected. The basal metabolic rate may partially mediate the causal effect of TRPV4 on HCC. Drugs such as cisplatin and Cannabidiol were identified for their potential action on causal TRPs. High expression of MCOLN3 may lead to increased sensitivity to sorafenib, while patients with low expression of MCOLN3 and TRPV4 were more likely to benefit from immunotherapy. Furthermore, we revealed the expression landscape of causal TRPs in HCC by performing integrated multi-omics analyses.</p><p><strong>Conclusions: </strong>This MR analysis revealed a causal relationship between TRP and HCC, and MCOLN3 and TRPV4 were potential drug targets. They also served as potential molecular biomarkers for the efficacy of immunotherapy and/or targeted therapy, providing a strong theoretical basis for the clinical application of TRPs.</p>\",\"PeriodicalId\":13183,\"journal\":{\"name\":\"Human Genomics\",\"volume\":\"19 1\",\"pages\":\"87\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12329876/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40246-025-00807-9\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40246-025-00807-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.
Background: The causal relationship between Transient receptor potential (TRP) and hepatocellular carcinoma (HCC) remains unclear. Our study aimed to identify potential drug targets for HCC within the TRP family using Mendelian randomization (MR).
Methods: The gene expression quantitative trait loci (eQTL) data for TRP was sourced from eQTLGen Consortium. Summary statistics for HCC came from European (nCase = 379, nControl = 475,259) and East Asian population (nCase = 2122, nControl = 159,201). We undertook main MR analysis in the European population using the R package 'TwosampleMR', with significance determined through Bonferroni correction. The East Asian population serves as the validation cohort. Sensitivity analyses include Steiger filtering, bidirectional MR analysis, multivariable MR (MVMR) analysis, and phenotype scanning for further validation of causal relationships.
Results: Main MR analysis had identified two causal TRPs, MCOLN3 (OR = 1.59, 95% CI: 1.24-2.06) and TRPV4 (OR = 0.597, 95% CI: 0.407-0.875). No heterogeneity or pleiotropy was detected. The basal metabolic rate may partially mediate the causal effect of TRPV4 on HCC. Drugs such as cisplatin and Cannabidiol were identified for their potential action on causal TRPs. High expression of MCOLN3 may lead to increased sensitivity to sorafenib, while patients with low expression of MCOLN3 and TRPV4 were more likely to benefit from immunotherapy. Furthermore, we revealed the expression landscape of causal TRPs in HCC by performing integrated multi-omics analyses.
Conclusions: This MR analysis revealed a causal relationship between TRP and HCC, and MCOLN3 and TRPV4 were potential drug targets. They also served as potential molecular biomarkers for the efficacy of immunotherapy and/or targeted therapy, providing a strong theoretical basis for the clinical application of TRPs.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.