药敏试验,一种独特的药物选择策略

Da-Yong Lu , Ting-Ren Lu
{"title":"药敏试验,一种独特的药物选择策略","authors":"Da-Yong Lu ,&nbsp;Ting-Ren Lu","doi":"10.1016/j.abst.2020.11.001","DOIUrl":null,"url":null,"abstract":"<div><p>Cancer treatments become more effective now. One cause of these therapeutic promotions is based on drug selective paradigms in the clinic. A small range of drug selective paradigms (pharmacogenomics, precision-oncology, biomarkers and drug sensitivity testing) have been widely used worldwide. To accelerate the performance of these drug selective strategies, improved understanding of different mechanisms may be useful. Among these four classes of selective systems, drug sensitivity testing (DST) plays a unique role in clinical trials. Biomedical advances of knowledge and technology in current drug selective systems are increasingly importance. In the past two decades, knowledge gap between pathology and therapeutics is gradually filling, especially among different predictive mechanisms. The different drug selective systems are competitive, progress and advantageous in different clinical situations. To face with this diversity of drug selective strategies, guiding principle and technical feasibility need to emphasize. As a powerful platform, DST have some unique characters—high-quality quantification and comparison of responses among anticancer drug of interests. The smooth progress of DST platform depends on increasingly understanding of cancer biology, pathology and pharmacology—including medical knowledge (cancer heterogeneity, plasticity, stem cells and metastasis) and technical versatility (micro-fluidity and apoptotic evaluation). The medical and technical insights into various and uniqueness of DST are especially highlighted in this article.</p></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"2 ","pages":"Pages 59-66"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.abst.2020.11.001","citationCount":"4","resultStr":"{\"title\":\"Drug sensitivity testing, a unique drug selection strategy\",\"authors\":\"Da-Yong Lu ,&nbsp;Ting-Ren Lu\",\"doi\":\"10.1016/j.abst.2020.11.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Cancer treatments become more effective now. One cause of these therapeutic promotions is based on drug selective paradigms in the clinic. A small range of drug selective paradigms (pharmacogenomics, precision-oncology, biomarkers and drug sensitivity testing) have been widely used worldwide. To accelerate the performance of these drug selective strategies, improved understanding of different mechanisms may be useful. Among these four classes of selective systems, drug sensitivity testing (DST) plays a unique role in clinical trials. Biomedical advances of knowledge and technology in current drug selective systems are increasingly importance. In the past two decades, knowledge gap between pathology and therapeutics is gradually filling, especially among different predictive mechanisms. The different drug selective systems are competitive, progress and advantageous in different clinical situations. To face with this diversity of drug selective strategies, guiding principle and technical feasibility need to emphasize. As a powerful platform, DST have some unique characters—high-quality quantification and comparison of responses among anticancer drug of interests. The smooth progress of DST platform depends on increasingly understanding of cancer biology, pathology and pharmacology—including medical knowledge (cancer heterogeneity, plasticity, stem cells and metastasis) and technical versatility (micro-fluidity and apoptotic evaluation). The medical and technical insights into various and uniqueness of DST are especially highlighted in this article.</p></div>\",\"PeriodicalId\":72080,\"journal\":{\"name\":\"Advances in biomarker sciences and technology\",\"volume\":\"2 \",\"pages\":\"Pages 59-66\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.abst.2020.11.001\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in biomarker sciences and technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2543106420300053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in biomarker sciences and technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2543106420300053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

癌症治疗现在变得更有效了。这些治疗促进的一个原因是基于临床药物选择范例。一小部分药物选择范式(药物基因组学、精确肿瘤学、生物标志物和药敏试验)在世界范围内得到广泛应用。为了加速这些药物选择策略的表现,提高对不同机制的理解可能是有用的。在这四类选择性系统中,药敏试验(DST)在临床试验中发挥着独特的作用。生物医学知识和技术的进步在当前的药物选择系统中越来越重要。近二十年来,病理学与治疗学之间的知识差距正在逐渐填补,特别是在不同的预测机制之间。不同的药物选择系统在不同的临床情况下具有竞争、进步和优势。面对这种多样性的药物选择策略,需要强调指导原则和技术可行性。作为一个强大的平台,DST有其独特的特点——高质量的量化和对感兴趣的抗癌药物反应的比较。DST平台的顺利推进取决于对癌症生物学、病理学和药理学的日益了解,包括医学知识(癌症异质性、可塑性、干细胞和转移)和技术通用性(微流动性和凋亡评估)。本文特别强调了对DST的多样性和独特性的医学和技术见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Drug sensitivity testing, a unique drug selection strategy

Cancer treatments become more effective now. One cause of these therapeutic promotions is based on drug selective paradigms in the clinic. A small range of drug selective paradigms (pharmacogenomics, precision-oncology, biomarkers and drug sensitivity testing) have been widely used worldwide. To accelerate the performance of these drug selective strategies, improved understanding of different mechanisms may be useful. Among these four classes of selective systems, drug sensitivity testing (DST) plays a unique role in clinical trials. Biomedical advances of knowledge and technology in current drug selective systems are increasingly importance. In the past two decades, knowledge gap between pathology and therapeutics is gradually filling, especially among different predictive mechanisms. The different drug selective systems are competitive, progress and advantageous in different clinical situations. To face with this diversity of drug selective strategies, guiding principle and technical feasibility need to emphasize. As a powerful platform, DST have some unique characters—high-quality quantification and comparison of responses among anticancer drug of interests. The smooth progress of DST platform depends on increasingly understanding of cancer biology, pathology and pharmacology—including medical knowledge (cancer heterogeneity, plasticity, stem cells and metastasis) and technical versatility (micro-fluidity and apoptotic evaluation). The medical and technical insights into various and uniqueness of DST are especially highlighted in this article.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advances in biomarker sciences and technology
Advances in biomarker sciences and technology Biotechnology, Clinical Biochemistry, Molecular Medicine, Public Health and Health Policy
自引率
0.00%
发文量
0
审稿时长
20 weeks
期刊最新文献
Faecal microbial transplant Isolation and characterization of cytotoxic and antioxidant biomarkers from the aerial parts of Suaeda aegyptica Patient-derived primary culture-based prognostic model to predict tumor recurrence in patients with glioma Faecal microbial transplant Investigation of the effects of polyherbal formulations against the combination of a high-fat cafeteria diet along with exercise modalities
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1