{"title":"释放基于特征的药物再利用潜力,促进抗癌药物的发现","authors":"","doi":"10.1016/j.abb.2024.110150","DOIUrl":null,"url":null,"abstract":"<div><p>Cancer is the leading cause of death worldwide and is often associated with tumor relapse even after chemotherapeutics. This reveals malignancy is a complex process, and high-throughput omics strategies in recent years have contributed significantly in decoding the molecular mechanisms of these complex events in cancer. Further, the omics studies yield a large volume of cancer-specific molecular signatures that promote the discovery of cancer therapy drugs by a method termed signature-based drug repurposing. The drug repurposing method identifies new uses for approved drugs beyond their intended initial therapeutic use, and there are several approaches to it. In this review, we discuss signature-based drug repurposing in cancer, how cancer omics have revolutionized this method of drug discovery, and how one can use the cancer signature data for repurposed drug identification by providing a step-by-step procedural handout. This modern approach maximizes the use of existing therapeutic agents for cancer therapy or combination therapy to overcome chemotherapeutics resistance, making it a pragmatic and efficient alternative to traditional resource-intensive and time-consuming methods.</p></div>","PeriodicalId":8174,"journal":{"name":"Archives of biochemistry and biophysics","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unlocking the potential of signature-based drug repurposing for anticancer drug discovery\",\"authors\":\"\",\"doi\":\"10.1016/j.abb.2024.110150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Cancer is the leading cause of death worldwide and is often associated with tumor relapse even after chemotherapeutics. This reveals malignancy is a complex process, and high-throughput omics strategies in recent years have contributed significantly in decoding the molecular mechanisms of these complex events in cancer. Further, the omics studies yield a large volume of cancer-specific molecular signatures that promote the discovery of cancer therapy drugs by a method termed signature-based drug repurposing. The drug repurposing method identifies new uses for approved drugs beyond their intended initial therapeutic use, and there are several approaches to it. In this review, we discuss signature-based drug repurposing in cancer, how cancer omics have revolutionized this method of drug discovery, and how one can use the cancer signature data for repurposed drug identification by providing a step-by-step procedural handout. This modern approach maximizes the use of existing therapeutic agents for cancer therapy or combination therapy to overcome chemotherapeutics resistance, making it a pragmatic and efficient alternative to traditional resource-intensive and time-consuming methods.</p></div>\",\"PeriodicalId\":8174,\"journal\":{\"name\":\"Archives of biochemistry and biophysics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of biochemistry and biophysics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0003986124002728\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of biochemistry and biophysics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003986124002728","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
癌症是导致全球死亡的主要原因,即使在接受化疗后,肿瘤仍会复发。这揭示了恶性肿瘤是一个复杂的过程,而近年来的高通量组学策略在解码癌症中这些复杂事件的分子机制方面做出了重大贡献。此外,omics 研究还产生了大量癌症特异性分子特征,这些特征促进了癌症治疗药物的发现,这种方法被称为 "基于特征的药物再利用"(signature-based drug repurposing)。药物再利用方法可确定已批准药物在其预期初始治疗用途之外的新用途,有多种方法可供选择。在这篇综述中,我们将讨论基于特征的癌症药物再利用,癌症全息图学如何彻底改变了这种药物发现方法,以及如何利用癌症特征数据进行再利用药物鉴定,并提供了一份分步骤的程序手册。这种现代方法可以最大限度地利用现有的治疗药物进行癌症治疗或联合治疗,以克服化疗药物的耐药性,是传统的资源密集型和耗时型方法的一种务实高效的替代方法。
Unlocking the potential of signature-based drug repurposing for anticancer drug discovery
Cancer is the leading cause of death worldwide and is often associated with tumor relapse even after chemotherapeutics. This reveals malignancy is a complex process, and high-throughput omics strategies in recent years have contributed significantly in decoding the molecular mechanisms of these complex events in cancer. Further, the omics studies yield a large volume of cancer-specific molecular signatures that promote the discovery of cancer therapy drugs by a method termed signature-based drug repurposing. The drug repurposing method identifies new uses for approved drugs beyond their intended initial therapeutic use, and there are several approaches to it. In this review, we discuss signature-based drug repurposing in cancer, how cancer omics have revolutionized this method of drug discovery, and how one can use the cancer signature data for repurposed drug identification by providing a step-by-step procedural handout. This modern approach maximizes the use of existing therapeutic agents for cancer therapy or combination therapy to overcome chemotherapeutics resistance, making it a pragmatic and efficient alternative to traditional resource-intensive and time-consuming methods.
期刊介绍:
Archives of Biochemistry and Biophysics publishes quality original articles and reviews in the developing areas of biochemistry and biophysics.
Research Areas Include:
• Enzyme and protein structure, function, regulation. Folding, turnover, and post-translational processing
• Biological oxidations, free radical reactions, redox signaling, oxygenases, P450 reactions
• Signal transduction, receptors, membrane transport, intracellular signals. Cellular and integrated metabolism.