Recent advancements in tumour microenvironment landscaping for target selection and response prediction in immune checkpoint therapies achieved through spatial protein multiplexing analysis.

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology
Madhavi Dipak Andhari, Asier Antoranz, Frederik De Smet, Francesca Maria Bosisio
{"title":"Recent advancements in tumour microenvironment landscaping for target selection and response prediction in immune checkpoint therapies achieved through spatial protein multiplexing analysis.","authors":"Madhavi Dipak Andhari, Asier Antoranz, Frederik De Smet, Francesca Maria Bosisio","doi":"10.1016/bs.ircmb.2023.05.009","DOIUrl":null,"url":null,"abstract":"<p><p>Immune checkpoint therapies have significantly advanced cancer treatment. Nevertheless, the high costs and potential adverse effects associated with these therapies highlight the need for better predictive biomarkers to identify patients who are most likely to benefit from treatment. Unfortunately, the existing biomarkers are insufficient to identify such patients. New high-dimensional spatial technologies have emerged as a valuable tool for discovering novel biomarkers by analysing multiple protein markers at a single-cell resolution in tissue samples. These technologies provide a more comprehensive map of tissue composition, cell functionality, and interactions between different cell types in the tumour microenvironment. In this review, we provide an overview of how spatial protein-based multiplexing technologies have fuelled biomarker discovery and advanced the field of immunotherapy. In particular, we will focus on how these technologies contributed to (i) characterise the tumour microenvironment, (ii) understand the role of tumour heterogeneity, (iii) study the interplay of the immune microenvironment and tumour progression, (iv) discover biomarkers for immune checkpoint therapies (v) suggest novel therapeutic strategies.</p>","PeriodicalId":14422,"journal":{"name":"International review of cell and molecular biology","volume":"382 ","pages":"207-237"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International review of cell and molecular biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.ircmb.2023.05.009","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

Immune checkpoint therapies have significantly advanced cancer treatment. Nevertheless, the high costs and potential adverse effects associated with these therapies highlight the need for better predictive biomarkers to identify patients who are most likely to benefit from treatment. Unfortunately, the existing biomarkers are insufficient to identify such patients. New high-dimensional spatial technologies have emerged as a valuable tool for discovering novel biomarkers by analysing multiple protein markers at a single-cell resolution in tissue samples. These technologies provide a more comprehensive map of tissue composition, cell functionality, and interactions between different cell types in the tumour microenvironment. In this review, we provide an overview of how spatial protein-based multiplexing technologies have fuelled biomarker discovery and advanced the field of immunotherapy. In particular, we will focus on how these technologies contributed to (i) characterise the tumour microenvironment, (ii) understand the role of tumour heterogeneity, (iii) study the interplay of the immune microenvironment and tumour progression, (iv) discover biomarkers for immune checkpoint therapies (v) suggest novel therapeutic strategies.

通过空间蛋白复用分析实现免疫检查点疗法的靶点选择和反应预测的肿瘤微环境景观设计的最新进展。
免疫检查点疗法大大推进了癌症治疗。然而,与这些疗法相关的高昂费用和潜在不良反应凸显了对更好的预测性生物标志物的需求,以确定最有可能从治疗中获益的患者。遗憾的是,现有的生物标志物不足以识别这类患者。新的高维空间技术通过分析组织样本中单细胞分辨率的多种蛋白质标记物,已成为发现新型生物标记物的重要工具。这些技术提供了更全面的组织组成、细胞功能以及肿瘤微环境中不同细胞类型之间相互作用的图谱。在这篇综述中,我们将概述基于空间蛋白质的多重分析技术如何促进生物标记物的发现并推动免疫疗法领域的发展。我们将特别关注这些技术如何有助于:(i) 确定肿瘤微环境的特征;(ii) 了解肿瘤异质性的作用;(iii) 研究免疫微环境与肿瘤进展的相互作用;(iv) 发现免疫检查点疗法的生物标记物;(v) 提出新的治疗策略。
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
International review of cell and molecular biology
International review of cell and molecular biology BIOCHEMISTRY & MOLECULAR BIOLOGY-CELL BIOLOGY
CiteScore
7.70
自引率
0.00%
发文量
67
审稿时长
>12 weeks
期刊介绍: International Review of Cell and Molecular Biology presents current advances and comprehensive reviews in cell biology-both plant and animal. Articles address structure and control of gene expression, nucleocytoplasmic interactions, control of cell development and differentiation, and cell transformation and growth. Authored by some of the foremost scientists in the field, each volume provides up-to-date information and directions for future research.
×
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