Cell Reports (Dec 2019)

IL-33 Signaling Alters Regulatory T Cell Diversity in Support of Tumor Development

  • Amy Li,
  • Rebecca H. Herbst,
  • David Canner,
  • Jason M. Schenkel,
  • Olivia C. Smith,
  • Jonathan Y. Kim,
  • Michelle Hillman,
  • Arjun Bhutkar,
  • Michael S. Cuoco,
  • C. Garrett Rappazzo,
  • Patricia Rogers,
  • Celeste Dang,
  • Livnat Jerby-Arnon,
  • Orit Rozenblatt-Rosen,
  • Le Cong,
  • Michael Birnbaum,
  • Aviv Regev,
  • Tyler Jacks

Journal volume & issue
Vol. 29, no. 10
pp. 2998 – 3008.e8

Abstract

Read online

Summary: Regulatory T cells (Tregs) can impair anti-tumor immune responses and are associated with poor prognosis in multiple cancer types. Tregs in human tumors span diverse transcriptional states distinct from those of peripheral Tregs, but their contribution to tumor development remains unknown. Here, we use single-cell RNA sequencing (RNA-seq) to longitudinally profile dynamic shifts in the distribution of Tregs in a genetically engineered mouse model of lung adenocarcinoma. In this model, interferon-responsive Tregs are more prevalent early in tumor development, whereas a specialized effector phenotype characterized by enhanced expression of the interleukin-33 receptor ST2 is predominant in advanced disease. Treg-specific deletion of ST2 alters the evolution of effector Treg diversity, increases infiltration of CD8+ T cells into tumors, and decreases tumor burden. Our study shows that ST2 plays a critical role in Treg-mediated immunosuppression in cancer, highlighting potential paths for therapeutic intervention. : Li et al. show in a genetic mouse model of lung adenocarcinoma that during tumor development regulatory T cell (Treg) diversity shifts from an interferon-responsive to a ST2-positive, Klrg1+Areg+ effector-like phenotype. Treg-specific deletion of ST2 alters Treg heterogeneity, increases tumor infiltration by CD8+ T cells, and decreases tumor burden. Keywords: regulatory T cell, autochthonous mouse model of cancer, lung adenocarcinoma, tumor immunosuppression, single cell RNA sequencing, Treg heterogeneity, interleukin-33, ST2, Il1rl1