Mining of Targeted Therapeutic Drugs for Hepatocellular Carcinoma based on Programmed Death-related Features and Construction of an Imaging Histology Diagnostic Model.

IF 2.9 4区 医学 Q3 CHEMISTRY, MEDICINAL
Juan Wang, Xiaoli Zhao, Chunguang Chen, Hongzhi Li, Chunli Liu, Zhongfeng Cui, Guangming Li
{"title":"Mining of Targeted Therapeutic Drugs for Hepatocellular Carcinoma based on Programmed Death-related Features and Construction of an Imaging Histology Diagnostic Model.","authors":"Juan Wang, Xiaoli Zhao, Chunguang Chen, Hongzhi Li, Chunli Liu, Zhongfeng Cui, Guangming Li","doi":"10.2174/0115680266397340250701110954","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The programmed cell death (PCD) is crucial in inhibiting cancer cell proliferation and enhancing anti-tumor immune responses. Mining targeted therapeutics for liver hepatocellular carcinoma (LIHC) based on PCD genes and revealing their molecular mechanisms are essential for the development of effective clinical treatments for LIHC.</p><p><strong>Methods: </strong>Key genes associated with PCD characteristics of LIHC were identified in cancer genome mapping by the weighted gene co-expression network analysis (WGCNA). In this study, the performance and clinical value of key genes were evaluated by the Receiver operating characteristic curve (ROC). The relative expressions of genes related to PCD in hepatocellular carcinoma were measured employing QRT-PCR. The practical regulation of PCD-correlated key genes on the migration and invasion levels of LIHC cells was assessed by transwell and scratch healing assays. Functional and pathway characterization of gene sets was performed by Gene Set Enrichment Analysis (GSEA). CIBERSORT was used to assess immune cell infiltration in the samples. DSigDB and AutoDock tools were used for molecular docking of key genes and downstream targeted drugs. Impact omics characterization of the samples was determined by the alignment diagram.</p><p><strong>Results: </strong>Three genes, CAMK4, CD200R1, and KCNA3, were screened as key PCD-related genes in LIHC. Cellular experiments verified that CD200R1 promotes migration and invasion levels in hepatocellular carcinoma. GSEA showed that these three genes were enriched for cytokine release, apoptosis, and other pathways. In immune profiling, we revealed that the three genes were related to the infiltration of immune cells such as CD4+ memory T cells and CD8+ T cells. Molecular docking predicted potential drugs for the three biomarkers, among which CAMK4 was tightly bound to GSK1838705A and had the highest AUC in the ROC curve. In addition, we constructed an alignment diagram to accurately assess the imaging features of LIHC.</p><p><strong>Discussion: </strong>This study provided a new strategy for precision treatment of LIHC by screening key genes associated with PCD in LIHC (CAMK4, CD200R1, and KCNA3), revealing their roles in the regulation of the tumor immune microenvironment and predicting potential target drugs, as well as constructing a diagnostic model based on imaging histology; however, the study did not delve deeper into the long-range drug-target interaction mechanism and lacked molecular dynamics simulation validation, which limited the comprehensiveness of the results.</p><p><strong>Conclusion: </strong>This study identified key genes associated with PCD in LIHC, revealed its immunoregulatory mechanism, and predicted potential target drugs, providing new ideas for precision treatment and diagnosis of hepatocellular carcinoma.</p>","PeriodicalId":11076,"journal":{"name":"Current topics in medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current topics in medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0115680266397340250701110954","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: The programmed cell death (PCD) is crucial in inhibiting cancer cell proliferation and enhancing anti-tumor immune responses. Mining targeted therapeutics for liver hepatocellular carcinoma (LIHC) based on PCD genes and revealing their molecular mechanisms are essential for the development of effective clinical treatments for LIHC.

Methods: Key genes associated with PCD characteristics of LIHC were identified in cancer genome mapping by the weighted gene co-expression network analysis (WGCNA). In this study, the performance and clinical value of key genes were evaluated by the Receiver operating characteristic curve (ROC). The relative expressions of genes related to PCD in hepatocellular carcinoma were measured employing QRT-PCR. The practical regulation of PCD-correlated key genes on the migration and invasion levels of LIHC cells was assessed by transwell and scratch healing assays. Functional and pathway characterization of gene sets was performed by Gene Set Enrichment Analysis (GSEA). CIBERSORT was used to assess immune cell infiltration in the samples. DSigDB and AutoDock tools were used for molecular docking of key genes and downstream targeted drugs. Impact omics characterization of the samples was determined by the alignment diagram.

Results: Three genes, CAMK4, CD200R1, and KCNA3, were screened as key PCD-related genes in LIHC. Cellular experiments verified that CD200R1 promotes migration and invasion levels in hepatocellular carcinoma. GSEA showed that these three genes were enriched for cytokine release, apoptosis, and other pathways. In immune profiling, we revealed that the three genes were related to the infiltration of immune cells such as CD4+ memory T cells and CD8+ T cells. Molecular docking predicted potential drugs for the three biomarkers, among which CAMK4 was tightly bound to GSK1838705A and had the highest AUC in the ROC curve. In addition, we constructed an alignment diagram to accurately assess the imaging features of LIHC.

Discussion: This study provided a new strategy for precision treatment of LIHC by screening key genes associated with PCD in LIHC (CAMK4, CD200R1, and KCNA3), revealing their roles in the regulation of the tumor immune microenvironment and predicting potential target drugs, as well as constructing a diagnostic model based on imaging histology; however, the study did not delve deeper into the long-range drug-target interaction mechanism and lacked molecular dynamics simulation validation, which limited the comprehensiveness of the results.

Conclusion: This study identified key genes associated with PCD in LIHC, revealed its immunoregulatory mechanism, and predicted potential target drugs, providing new ideas for precision treatment and diagnosis of hepatocellular carcinoma.

基于程序性死亡相关特征的肝癌靶向治疗药物挖掘及影像学组织学诊断模型构建
细胞程序性死亡(PCD)在抑制癌细胞增殖和增强抗肿瘤免疫应答中起着至关重要的作用。挖掘基于PCD基因的肝细胞癌靶向治疗方法,揭示其分子机制,是开发有效的肝细胞癌临床治疗方法的基础。方法:采用加权基因共表达网络分析(加权基因共表达网络分析,WGCNA)在肿瘤基因组定位中鉴定与LIHC PCD特征相关的关键基因。本研究采用受试者工作特征曲线(Receiver operating characteristic curve, ROC)评价关键基因的表现及临床价值。采用QRT-PCR检测肝细胞癌中PCD相关基因的相对表达。通过transwell和划痕愈合实验评估pcd相关关键基因对LIHC细胞迁移和侵袭水平的实际调控。通过基因集富集分析(GSEA)进行基因集的功能和途径表征。使用CIBERSORT评估样品中的免疫细胞浸润。利用DSigDB和AutoDock工具进行关键基因与下游靶向药物的分子对接。通过比对图确定样品的冲击组学特征。结果:CAMK4、CD200R1和KCNA3三个基因被筛选为LIHC中关键的pcd相关基因。细胞实验证实CD200R1促进肝细胞癌的迁移和侵袭水平。GSEA显示这三个基因在细胞因子释放、细胞凋亡等途径中富集。在免疫谱分析中,我们发现这三个基因与CD4+记忆T细胞和CD8+ T细胞等免疫细胞的浸润有关。分子对接预测了三种生物标志物的潜在药物,其中CAMK4与GSK1838705A结合紧密,在ROC曲线上AUC最高。此外,我们构建了一个对齐图,以准确评估LIHC的成像特征。讨论:本研究通过筛选LIHC中与PCD相关的关键基因(CAMK4、CD200R1、KCNA3),揭示其在肿瘤免疫微环境调控和预测潜在靶标药物中的作用,构建基于影像学组织学的诊断模型,为LIHC的精准治疗提供了新的策略;然而,本研究并未深入探究药物-靶点的远距离相互作用机制,缺乏分子动力学模拟验证,限制了研究结果的全面性。结论:本研究确定了LIHC中与PCD相关的关键基因,揭示了其免疫调控机制,并预测了潜在的靶向药物,为肝癌的精准治疗和诊断提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.40
自引率
2.90%
发文量
186
审稿时长
3-8 weeks
期刊介绍: Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信