Selective suppression of melanoma lacking IFN-γ pathway by JAK inhibition depends on T cells and host TNF signaling

Abstract

Therapeutic resistance to immune checkpoint blockers (ICBs) in melanoma patients is a pressing issue, of which tumor loss of IFN-γ signaling genes is a major underlying mechanism. However, strategies of overcoming this resistance mechanism have been largely elusive. Moreover, given the indispensable role of tumor-infiltrating T cells (TILs) in ICBs, little is known about how tumor-intrinsic loss of IFN-γ signaling (IFNγR1KO) impacts TILs. Here, we report that IFNγR1KOmelanomas have reduced infiltration and function of TILs. IFNγR1KOmelanomas harbor a network of constitutively active protein tyrosine kinases centered on activated JAK1/2. Mechanistically, JAK1/2 activation is mediated by augmented mTOR. Importantly, JAK1/2 inhibition with Ruxolitinib selectively suppresses the growth of IFNγR1KObut not scrambled control melanomas, depending on T cells and host TNF. Together, our results reveal an important role of tumor-intrinsic IFN-γ signaling in shaping TILs and manifest a targeted therapy to bypass ICB resistance of melanomas defective of IFN-γ signaling.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 25, 2022
Source ID
10.1038/s41467-022-32754-7

Entities

People

  • Christopher D. Willey
  • Eddy S Yang
  • Fengyuan Huang
  • Hoa Quang Trummell
  • Hongxing Shen
  • James A. Bonner
  • John Fiveash
  • Joshua C. Anderson
  • Lewis Zhichang Shi
  • Markus Bredel
  • Oluwagbemiga A. Ojo
  • Xiangmin Zhang
  • Yuebin Li
  • Zechen Chong

Organizations

  • American Cancer Society
  • Cancer Research Institute
  • Comprehensive Cancer Center, University of Alabama at Birmingham
  • National Cancer Institute
  • National Institute of General Medical Sciences
  • United States Department of Defense
  • United States Department of Health and Human Services

Tags

Fields of Study

  • Medicine

Readers

  • Cellular and Molecular Pathways of Apoptosis.
  • Oncology