CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Multi-Omics Profiling of the Tumor Microenvironment.
Multi-Omics Profiling of the Tumor Microenvironment.
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所有实体瘤及许多血液系统恶性肿瘤都在肿瘤微环境(TME)中生长和增殖;TME是肿瘤与不同免疫细胞和间质细胞持续且高度动态相互作用的综合环境。这一生态系统促成了癌症患者之间及患者体内肿瘤的广泛异质性。正如包括单克隆抗体、双特异性抗体和嵌合抗原受体(CAR)T细胞在内的免疫疗法已为部分患者带来获益,了解这一复杂网络的特征有望显著改善癌症预后。多模态组学技术的发展使研究者能够以单细胞分辨率记录和表征TME,为全面理解肿瘤微环境复杂性提供前所未有的机会。本章重点介绍TME成为癌症研究核心所体现的范式转变,并讨论其组成;总结从不同角度研究TME的现有多模态单细胞组学方法及其优缺点;讨论计算分析工具、数据整合以及专门研究TME各组成部分相互作用的方法;最后探讨研究TME对正在开展或未来临床研究的意义,以及这些研究如何为癌症患者带来更有效治疗。
All solid tumors and many hematological malignancies grow and proliferate in a tumor microenvironment (TME), a spectrum of continuous and highly dynamic interactions with different immune and stromal cells. This ecosystem contributes to the extensive heterogeneity that exists between and within cancer patients. Understanding the characteristics of this intricate network could significantly improve cancer prognosis, as was demonstrated already for a subset of patients by the advent of immunotherapies (including monoclonal antibodies, bispecific antibodies, and chimeric antigen receptor (CAR) T cells.
The development of multimodal omics technologies has allowed researchers to document and characterize the TME at single-cell resolution, which provides an unprecedent opportunity to understand the full complexity of the tumor microenvironment. In this chapter, we highlight the paradigm shift that has brought the TME to the forefront of cancer research and discuss its composition.
In addition, we summarize the available multimodal single-cell omics methods that allow studying the TME from different angles, as well as their advantages and limitations.
We discuss computational analysis tools, data integration, and methods to specifically study crosstalk between TME components.
Finally, we touch upon the implications of studying the TME for ongoing or future clinical studies and how these can lead to more effective treatments for cancer patients.
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