The current landscape of single-cell transcriptomics for cancer immunotherapy

被引:43
作者
Guruprasad, Puneeth [1 ,2 ,3 ]
Lee, Yong Gu [2 ,3 ]
Kim, Ki Hyun [2 ,3 ]
Ruella, Marco [1 ,2 ,3 ,4 ]
机构
[1] Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA
[2] Univ Penn, Ctr Cellular Immunotherapies, Perelman Sch Med, Philadelphia, PA 19104 USA
[3] Univ Penn, Dept Med, Div Hematol & Oncol, Perelman Sch Med, Philadelphia, PA 19104 USA
[4] Univ Penn, Abramson Canc Ctr, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院;
关键词
IMMUNE CHECKPOINT BLOCKADE; NATURAL-KILLER-CELLS; MESSENGER-RNA-SEQ; T-CELLS; OVARIAN-CANCER; TUMOR MICROENVIRONMENT; METASTATIC MELANOMA; COMBINATION THERAPY; COLORECTAL-CANCER; PROGNOSTIC VALUE;
D O I
10.1084/jem.20201574
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Immunotherapies such as immune checkpoint blockade and adoptive cell transfer have revolutionized cancer treatment, but further progress is hindered by our limited understanding of tumor resistance mechanisms. Emerging technologies now enable the study of tumors at the single-cell level, providing unprecedented high-resolution insights into the genetic makeup of the tumor microenvironment and immune system that bulk genomics cannot fully capture. Here, we highlight the recent key findings of the use of single-cell RNA sequencing to deconvolute heterogeneous tumors and immune populations during immunotherapy. Single-cell RNA sequencing has identified new crucial factors and cellular subpopulations that either promote tumor progression or leave tumors vulnerable to immunotherapy. We anticipate that the strategic use of single-cell analytics will promote the development of the next generation of successful, rationally designed immunotherapeutics.
引用
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页数:16
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