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。

IF 4.3 3区 医学 Q2 GENETICS & HEREDITY
Zhe Xu, Chong Pang, Xundi Xu
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引用次数: 0

摘要

背景:瞬时受体电位(TRP)与肝细胞癌(HCC)之间的因果关系尚不清楚。我们的研究旨在利用孟德尔随机化(MR)方法确定TRP家族中潜在的肝癌药物靶点。方法:TRP基因表达数量性状位点(eQTL)数据来源于eQTLGen Consortium。HCC的汇总统计数据来自欧洲(nCase = 379, nControl = 475,259)和东亚人群(nCase = 2122, nControl = 159,201)。我们使用R软件包“TwosampleMR”对欧洲人群进行了主要的MR分析,通过Bonferroni校正确定了显著性。东亚人群作为验证队列。敏感性分析包括Steiger滤波、双向MR分析、多变量MR (MVMR)分析和表型扫描,以进一步验证因果关系。结果:主要MR分析确定了两个因果TRPs, MCOLN3 (OR = 1.59, 95% CI: 1.24-2.06)和TRPV4 (OR = 0.597, 95% CI: 0.407-0.875)。未发现异质性或多效性。基础代谢率可能部分介导TRPV4对HCC的因果作用。顺铂和大麻二酚等药物因其对因果trp的潜在作用而被确定。MCOLN3高表达可能导致对索拉非尼的敏感性增加,而MCOLN3和TRPV4低表达的患者更有可能从免疫治疗中获益。此外,我们通过综合多组学分析揭示了HCC中TRPs的表达格局。结论:本MR分析揭示了TRP与HCC之间的因果关系,MCOLN3和TRPV4是潜在的药物靶点。它们还可以作为潜在的免疫治疗和/或靶向治疗疗效的分子生物标志物,为TRPs的临床应用提供了强有力的理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.

TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.

TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.

TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.

TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.

TRP channels in hepatocellular carcinoma: integrative Mendelian randomization and multi-omics analyses highlight MCOLN3/TRPV4 as candidate dual-effect biomarkers.

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.

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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
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.
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