Microenvironment Is a Key Determinant of Immune Checkpoint Inhibitor Response.

Cho, Shih-Feng; Anderson, Kenneth C; Tai, Yu-Tzu · Clin Cancer Res · 2022

basic_science · Level V

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Abstract

Utilizing advanced RNA-sequencing techniques and rigorous bioinformatics analysis, this study identified gene signatures predicting responsiveness to pembrolizumab monotherapy. T-cell-inflamed gene expression profile was predictive for better treatment response, while angiogenesis, monocytic myeloid-derived suppressor cell, and stroma/epithelial-mesenchymal transition/TGFβ gene signatures were associated with lower treatment response. See related article by Cristescu et al., p. 1680.

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