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Tertiary lymphoid structural heterogeneity determines tumour immunity and prospects for clinical application

免疫系统 免疫疗法 生物 免疫检查点 癌症研究 免疫 癌症免疫疗法 癌症 免疫学 遗传学
作者
Yuyuan Zhang,Mengjun Xu,Yuqing Ren,Yuhao Ba,Shutong Liu,Anning Zuo,Hui Xu,Siyuan Weng,Xinwei Han,Zaoqu Liu
出处
期刊:Molecular Cancer [Springer Nature]
卷期号:23 (1) 被引量:14
标识
DOI:10.1186/s12943-024-01980-6
摘要

Abstract Tertiary lymphoid structures (TLS) are clusters of immune cells that resemble and function similarly to secondary lymphoid organs (SLOs). While TLS is generally associated with an anti-tumour immune response in most cancer types, it has also been observed to act as a pro-tumour immune response. The heterogeneity of TLS function is largely determined by the composition of tumour-infiltrating lymphocytes (TILs) and the balance of cell subsets within the tumour-associated TLS (TA-TLS). TA-TLS of varying maturity, density, and location may have opposing effects on tumour immunity. Higher maturity and/or higher density TLS are often associated with favorable clinical outcomes and immunotherapeutic response, mainly due to crosstalk between different proportions of immune cell subpopulations in TA-TLS. Therefore, TLS can be used as a marker to predict the efficacy of immunotherapy in immune checkpoint blockade (ICB). Developing efficient imaging and induction methods to study TA-TLS is crucial for enhancing anti-tumour immunity. The integration of imaging techniques with biological materials, including nanoprobes and hydrogels, alongside artificial intelligence (AI), enables non-invasive in vivo visualization of TLS. In this review, we explore the dynamic interactions among T and B cell subpopulations of varying phenotypes that contribute to the structural and functional diversity of TLS, examining both existing and emerging techniques for TLS imaging and induction, focusing on cancer immunotherapies and biomaterials. We also highlight novel therapeutic approaches of TLS that are being explored with the aim of increasing ICB treatment efficacy and predicting prognosis.
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