Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
J Biomed Sci. 2022 Oct 17;29(1):83. doi: 10.1186/s12929-022-00866-3.
Tumor microenvironment (TME) is a specialized ecosystem of host components, designed by tumor cells for successful development and metastasis of tumor. With the advent of 3D culture and advanced bioinformatic methodologies, it is now possible to study TME's individual components and their interplay at higher resolution. Deeper understanding of the immune cell's diversity, stromal constituents, repertoire profiling, neoantigen prediction of TMEs has provided the opportunity to explore the spatial and temporal regulation of immune therapeutic interventions. The variation of TME composition among patients plays an important role in determining responders and non-responders towards cancer immunotherapy. Therefore, there could be a possibility of reprogramming of TME components to overcome the widely prevailing issue of immunotherapeutic resistance. The focus of the present review is to understand the complexity of TME and comprehending future perspective of its components as potential therapeutic targets. The later part of the review describes the sophisticated 3D models emerging as valuable means to study TME components and an extensive account of advanced bioinformatic tools to profile TME components and predict neoantigens. Overall, this review provides a comprehensive account of the current knowledge available to target TME.
肿瘤微环境(TME)是宿主成分的一种特化生态系统,由肿瘤细胞设计,用于肿瘤的成功发展和转移。随着 3D 培养和先进的生物信息学方法的出现,现在可以更高分辨率地研究 TME 的各个组成部分及其相互作用。对免疫细胞多样性、基质成分、 repertoire 分析、TME 新抗原预测的更深入理解,为探索免疫治疗干预的时空调节提供了机会。患者之间 TME 组成的变化在决定癌症免疫治疗的应答者和无应答者方面起着重要作用。因此,有可能对 TME 成分进行重新编程,以克服普遍存在的免疫治疗耐药性问题。本综述的重点是了解 TME 的复杂性,并理解其成分作为潜在治疗靶点的未来前景。综述的后半部分描述了新兴的复杂 3D 模型,这些模型是研究 TME 成分的有价值的手段,并广泛介绍了先进的生物信息学工具,用于分析 TME 成分和预测新抗原。总的来说,这篇综述提供了对 TME 靶向的现有知识的全面描述。