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Tumor-intrinsic response to IFNγ shapes the tumor microenvironment and anti-PD-1 response in NSCLC

  • Bonnie L. Bullock
  • , Abigail K. Kimball
  • , Joanna M. Poczobutt
  • , Alexander J. Neuwelt
  • , Howard Y. Li
  • , Amber M. Johnson
  • , Jeff W. Kwak
  • , Emily K. Kleczko
  • , Rachael E. Kaspar
  • , Emily K. Wagner
  • , Katharina Hopp
  • , Erin L. Schenk
  • , Mary C.M. Weiser-Evans
  • , Eric T. Clambey
  • , Raphael A. Nemenoff

Research output: Contribution to journalArticlepeer-review

Abstract

Targeting PD-1/PD-L1 is only effective in ~20% of lung cancer patients, but determinants of this response are poorly defined. We previously observed differential responses of two murine K-Ras-mutant lung cancer cell lines to anti-PD-1 therapy: CMT167 tumors were eliminated, whereas Lewis Lung Carcinoma (LLC) tumors were resistant. The goal of this study was to define mechanism(s) mediating this difference. RNA sequencing analysis of cancer cells recovered from lung tumors revealed that CMT167 cells induced an IFNγ signature that was blunted in LLC cells. Silencing Ifngr1 in CMT167 resulted in tumors resistant to IFNγ and anti-PD-1 therapy. Conversely, LLC cells had high basal expression of SOCS1, an inhibitor of IFNγ. Silencing Socs1 increased response to IFNγ in vitro and sensitized tumors to anti-PD-1. This was associated with a reshaped tumor microenvironment, characterized by enhanced T cell infiltration and enrichment of PD-L1hi myeloid cells. These studies demonstrate that targeted enhancement of tumor-intrinsic IFNγ signaling can induce a cascade of changes associated with increased therapeutic vulnerability.

Original languageEnglish (US)
Article numbere201900328
JournalLife science alliance
Volume2
Issue number3
DOIs
StatePublished - 2019
Externally publishedYes

Bibliographical note

Funding Information:
We would like to thank Lynn Heasley and Rebecca Tucker for the helpful discussions. This work was supported by the National Institutes of Health (NIH) (R01 CA162226 and CA236222 to RA Nemenoff), Colorado Lung SPORE P50 CA058187 to HY Li and RA Nemenoff, the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service (Career Development Award IK2BX001282 to HY Li), and the NIH/National Center for Advancing Translational Sciences (NCATS) Colorado CTSA TL1 TR001081 to BL Bullock. The University of Colorado Cancer Center Flow Cytometry and the Genomics and Microarray Shared Resources is supported by NIH P30CA046934. The University of Colorado Cancer Center Flow Cytometry Core Facility is funded through a support grant from the National Cancer Institute (P30CA046934). Imaging experiments were performed in the University of Colorado Anschutz Medical Campus Advanced Light Microscopy Core supported in part by NIH/NCATS Colorado Clinical and Translational Sciences Grant Number UL1 TR001082.

Funding Information:
This work was supported by the National Institutes of Health (NIH) (R01 CA162226 and CA236222 to RA Nemenoff), Colorado Lung SPORE P50 CA058187 to HY Li and RA Nemenoff, the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service (Career Development Award IK2BX001282 to HY Li), and the NIH/National Center for Advancing Translational Sciences (NCATS) Colorado CTSA TL1 TR001081 to BL Bullock. The University of Colorado Cancer Center Flow Cytometry and the Genomics and Microarray Shared Resources is supported by NIH P30CA046934. The University of Colorado Cancer Center Flow Cytometry Core Facility is funded through a support grant from the National Cancer Institute (P30CA046934). Imaging experiments were performed in the University of Colorado Anschutz Medical Campus Advanced Light Microscopy Core supported in part by NIH/NCATS Colorado Clinical and Translational Sciences Grant Number UL1 TR001082

Publisher Copyright:
© 2019 Bullock et al.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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