Microenvironment Is a Key Determinant of Immune Checkpoint Inhibitor Response

Clin Cancer Res. 2022 Apr 14;28(8):1479-1481. doi: 10.1158/1078-0432.CCR-22-0015.

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.

Publication types

  • Editorial
  • Comment

MeSH terms

  • Epithelial-Mesenchymal Transition / genetics
  • Humans
  • Immune Checkpoint Inhibitors* / pharmacology
  • Immune Checkpoint Inhibitors* / therapeutic use
  • Myeloid-Derived Suppressor Cells*
  • Sequence Analysis, RNA
  • Tumor Microenvironment / genetics

Substances

  • Immune Checkpoint Inhibitors