4.7 Article

Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer

Journal

CLINICAL CANCER RESEARCH
Volume 28, Issue 10, Pages 2094-2109

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-21-3570

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Funding

  1. Barry Baker Biorepository Fund
  2. James Rowen Fund
  3. NIH [R01 CA178613, R01 DE027749, RO1CA211695-01A1]
  4. Dept. of Defense CDMRP Breakthrough Award
  5. American Cancer Society [131356-RSG-17-160-01-CSM]
  6. NIH/NCI Outstanding Investor Award [R35 CA197745]
  7. NIH Instrumentation grants [S10 OD012351, S10 OD021764]

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This study uses high-dimensional single-cell RNA sequencing to reveal the heterogeneity of cancer-associated fibroblasts in the tumor microenvironment and identifies different subtypes that have an impact on the response and resistance to immunotherapy, which is of great significance for future clinical trials.
Purpose: Cancer-associated fibroblasts (CAF) have been impli-cated as potential mediators of checkpoint immunotherapy response. However, the extensive heterogeneity of these cells has precluded rigorous understanding of their immunoregulatory role in the tumor microenvironment. Experimental Design: We performed high-dimensional single-cell RNA sequencing (scRNA-seq) on four patient tumors pretreat-ment and posttreatment from a neoadjuvant trial of patients with advanced-stage head and neck squamous cell carcinoma that were treated with the aPD-1 therapy, nivolumab. The head and neck CAF (HNCAF) protein activity profiles, derived from this cohort of paired scRNA-seq, were used to perform protein activity enrich-ment analysis on the 28-patient parental cohort of clinically anno-tated bulk transcriptomic profiles. Ex vivo coculture assays were used to test functional relevance of HNCAF subtypes. Results: Fourteen distinct cell types were identified with the fibroblast population showing significant changes in abundance following nivolumab treatment. Among the fibroblast subtypes, HNCAF-0/3 emerged as predictive of nivolumab response, while HNCAF-1 was associated with immunosuppression. Functionally, HNCAF-0/3 were found to reduce TGF(3-dependent PD-1 thorn TIM-3 thorn exhaustion of CD8 T cells, increase CD103 thorn NKG2A thorn resident memory phenotypes, and enhance the overall cytolytic profile of T cells. Conclusions: Our findings demonstrate the functional impor-tance of distinct HNCAF subsets in modulating the immuno-regulatory milieu of human HNSCC. In addition, we have identified clinically actionable HNCAF subtypes that can be used as a biomarker of response and resistance in future clinical trials.

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