Spatially Resolved Transcriptomics: Revealing Tumor Microenvironment Heterogeneity to Advance Cancer Immunotherapy.

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Dan Liu, Lu Xiao, Yuyuan Wu, Chensirong Yue, Mengmeng Li, Yuanpei Sun, Chaoyong Yang
{"title":"Spatially Resolved Transcriptomics: Revealing Tumor Microenvironment Heterogeneity to Advance Cancer Immunotherapy.","authors":"Dan Liu, Lu Xiao, Yuyuan Wu, Chensirong Yue, Mengmeng Li, Yuanpei Sun, Chaoyong Yang","doi":"10.1002/smtd.202500770","DOIUrl":null,"url":null,"abstract":"<p><p>Despite the availability of numerous approved immunotherapies for various cancers, durable progression-free survival remains relatively uncommon among patients with advanced cancer. As research into immunotherapy intensifies, the heterogeneity and complexity of the tumor microenvironment (TME) have emerged as critical determinants of treatment response and a major obstacle to understanding tumor resistance mechanisms. Recent advances in spatially resolved transcriptomics (SRT) enable transcriptome-wide measurement of gene expression while preserving essential spatial information, which supports the characterization of the features of the TME. This review outlines key challenges in cancer immunotherapy and emphasizes the importance of the TME in determining therapeutic efficacy. SRT strategies suitable is systematically introduced for TME profiling, comparing their relative advantages and limitations. Additionally, bioinformatics tools and methods used to reconstruct spatial tissue patterns are discussed from SRT data. Furthermore, how SRT is explored can enhance the understanding of the complexity and heterogeneity of the TME, facilitate the identification of novel therapeutic targets, and advance biomarker discovery to refine personalized treatment strategies for diverse cancer patients. Finally, future perspectives on the application of SRT in cancer immunotherapy and addressing the associated challenges are provided.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e00770"},"PeriodicalIF":9.1000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202500770","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Despite the availability of numerous approved immunotherapies for various cancers, durable progression-free survival remains relatively uncommon among patients with advanced cancer. As research into immunotherapy intensifies, the heterogeneity and complexity of the tumor microenvironment (TME) have emerged as critical determinants of treatment response and a major obstacle to understanding tumor resistance mechanisms. Recent advances in spatially resolved transcriptomics (SRT) enable transcriptome-wide measurement of gene expression while preserving essential spatial information, which supports the characterization of the features of the TME. This review outlines key challenges in cancer immunotherapy and emphasizes the importance of the TME in determining therapeutic efficacy. SRT strategies suitable is systematically introduced for TME profiling, comparing their relative advantages and limitations. Additionally, bioinformatics tools and methods used to reconstruct spatial tissue patterns are discussed from SRT data. Furthermore, how SRT is explored can enhance the understanding of the complexity and heterogeneity of the TME, facilitate the identification of novel therapeutic targets, and advance biomarker discovery to refine personalized treatment strategies for diverse cancer patients. Finally, future perspectives on the application of SRT in cancer immunotherapy and addressing the associated challenges are provided.

空间解析转录组学:揭示肿瘤微环境异质性以促进癌症免疫治疗。
尽管有许多已获批准的免疫疗法可用于各种癌症,但在晚期癌症患者中,持久的无进展生存期仍然相对罕见。随着免疫治疗研究的深入,肿瘤微环境(TME)的异质性和复杂性已成为治疗反应的关键决定因素,也是了解肿瘤耐药机制的主要障碍。空间解析转录组学(SRT)的最新进展使转录组范围内的基因表达测量成为可能,同时保留了必要的空间信息,这支持了TME特征的表征。这篇综述概述了癌症免疫治疗的主要挑战,并强调了TME在确定治疗效果方面的重要性。系统地介绍了适用于TME分析的SRT策略,比较了它们的优缺点。此外,还讨论了利用SRT数据重建空间组织模式的生物信息学工具和方法。此外,如何探索SRT可以增强对TME复杂性和异质性的理解,促进新的治疗靶点的确定,并推进生物标志物的发现,以完善针对不同癌症患者的个性化治疗策略。最后,展望了SRT在癌症免疫治疗中的应用前景,并提出了相关挑战。
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
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
×
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