From bench to bedside: Single-cell analysis for cancer immunotherapy.
From bench to bedside: Single-cell analysis for cancer immunotherapy.
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DOI:
10.1016/j.ccell.2021.07.004
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发表时间:
2021-08-09
期刊:
影响因子:
50.3
通讯作者:
Kagohara LT
中科院分区:
文献类型:
--
作者:
Davis-Marcisak EF;Deshpande A;Stein-O'Brien GL;Ho WJ;Laheru D;Jaffee EM;Fertig EJ;Kagohara LT
Single-cell technologies are emerging as powerful tools for cancer research. These technologies characterize the molecular state of each cell within a tumor, enabling new exploration of tumor heterogeneity, microenvironment cell type composition, and cell state transitions that impact therapeutic response — particularly in the context of immunotherapy. Analyzing clinical samples has great promise for precision medicine but is technically challenging. Successfully identifying predictors of response requires well-coordinated, multi-disciplinary teams to ensure adequate sample processing for high-quality data generation, and computational analysis for data interpretation. Here, we review current approaches to sample processing and computational analysis regarding their application to translational cancer immunotherapy research.
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期刊:
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