Biomarkers for predicting efficacy of chimeric antigen receptor T cell therapy and their detection methods

iLABMED Pub Date : 2024-02-16 DOI:10.1002/ila2.31
Bo Zou, Yanzhou Song, Ning Li, Zhongyi Fan, Jie Li, Yuanzheng Peng, Wanshan Wei, Yuzi Zhang, Yinan Su, Xianmin Meng, Hongzhou Lu, Xingding Zhang, Xiaohua Tan, Qibin Liao
{"title":"Biomarkers for predicting efficacy of chimeric antigen receptor T cell therapy and their detection methods","authors":"Bo Zou,&nbsp;Yanzhou Song,&nbsp;Ning Li,&nbsp;Zhongyi Fan,&nbsp;Jie Li,&nbsp;Yuanzheng Peng,&nbsp;Wanshan Wei,&nbsp;Yuzi Zhang,&nbsp;Yinan Su,&nbsp;Xianmin Meng,&nbsp;Hongzhou Lu,&nbsp;Xingding Zhang,&nbsp;Xiaohua Tan,&nbsp;Qibin Liao","doi":"10.1002/ila2.31","DOIUrl":null,"url":null,"abstract":"<p>Cancer immunotherapy has emerged as the fourth most prevalent approach to tumor treatment, alongside surgery, radiotherapy, and chemotherapy. After several decades of development, chimeric antigen receptor T (CAR-T) cell therapy, a promising branch of adoptive T-cell therapy, has demonstrated superior efficacy and safety in comparison to other cell therapies in the treatment of cancer. At present, CAR-T cells are predominantly used to treat hematological malignancies, although their application in solid tumors is being readily investigated. Although numerous studies have examined the biomarkers associated with the safety of CAR-T cell therapy, few have evaluated predictors of CAR-T cell therapeutic efficacy. Thus, the primary objective of this review article was to provide a comprehensive overview of the factors predicting the efficacy of CAR-T cell therapy, with a particular focus on biomarkers and their detection methods.</p>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"2 1","pages":"14-26"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.31","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"iLABMED","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ila2.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Cancer immunotherapy has emerged as the fourth most prevalent approach to tumor treatment, alongside surgery, radiotherapy, and chemotherapy. After several decades of development, chimeric antigen receptor T (CAR-T) cell therapy, a promising branch of adoptive T-cell therapy, has demonstrated superior efficacy and safety in comparison to other cell therapies in the treatment of cancer. At present, CAR-T cells are predominantly used to treat hematological malignancies, although their application in solid tumors is being readily investigated. Although numerous studies have examined the biomarkers associated with the safety of CAR-T cell therapy, few have evaluated predictors of CAR-T cell therapeutic efficacy. Thus, the primary objective of this review article was to provide a comprehensive overview of the factors predicting the efficacy of CAR-T cell therapy, with a particular focus on biomarkers and their detection methods.

Abstract Image

用于预测嵌合抗原受体 T 细胞疗法疗效的生物标志物及其检测方法
癌症免疫疗法已成为与手术、放疗和化疗并列的第四大肿瘤治疗方法。经过数十年的发展,嵌合抗原受体 T(CAR-T)细胞疗法作为领养 T 细胞疗法的一个有前途的分支,在治疗癌症方面已显示出优于其他细胞疗法的疗效和安全性。目前,CAR-T 细胞主要用于治疗血液系统恶性肿瘤,但其在实体瘤中的应用也在研究之中。尽管有许多研究对与 CAR-T 细胞疗法安全性相关的生物标志物进行了研究,但很少有研究对 CAR-T 细胞疗效的预测指标进行评估。因此,这篇综述文章的主要目的是全面概述预测CAR-T细胞疗法疗效的因素,尤其关注生物标志物及其检测方法。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信