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空间组学技术及其在癌症免疫治疗中的数据分析。

Spatial omics techniques and data analysis for cancer immunotherapy applications.

机构信息

Duke-NUS Medical School, Singapore 169856, Singapore.

Yong Loo Lin School of Medicine, National University of Singapore, 169856 Singapore; Singapore Thong Chai Medical Institution, Singapore 169874, Singapore.

出版信息

Curr Opin Biotechnol. 2024 Jun;87:103111. doi: 10.1016/j.copbio.2024.103111. Epub 2024 Mar 22.

Abstract

In-depth profiling of cancer cells/tissues is expanding our understanding of the genomic, epigenomic, transcriptomic, and proteomic landscape of cancer. However, the complexity of the cancer microenvironment, particularly its immune regulation, has made it difficult to exploit the potential of cancer immunotherapy. High-throughput spatial omics technologies and analysis pipelines have emerged as powerful tools for tackling this challenge. As a result, a potential revolution in cancer diagnosis, prognosis, and treatment is on the horizon. In this review, we discuss the technological advances in spatial profiling of cancer around and beyond the central dogma to harness the full benefits of immunotherapy. We also discuss the promise and challenges of spatial data analysis and interpretation and provide an outlook for the future.

摘要

深入分析癌细胞/组织正在扩展我们对癌症基因组、表观基因组、转录组和蛋白质组景观的理解。然而,癌症微环境的复杂性,特别是其免疫调节,使得利用癌症免疫疗法的潜力变得困难。高通量空间组学技术和分析管道已成为应对这一挑战的有力工具。因此,癌症诊断、预后和治疗的潜在革命即将到来。在这篇综述中,我们讨论了围绕着中心法则的癌症空间分析的技术进展,以充分利用免疫疗法的优势。我们还讨论了空间数据分析和解释的前景和挑战,并对未来进行了展望。

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