Skip to main navigation Skip to search Skip to main content

Single-Cell Profiling of Sarcomas from Archival Tissue Reveals Programs Associated with Resistance to Immune Checkpoint Blockade

  • Karan Luthria
  • , Parin Shah
  • , Blake Caldwell
  • , Johannes C. Melms
  • , Sinan Abuzaid
  • , Viktoria Jakubikova
  • , D. Zack Brodtman
  • , Sminu Bose
  • , Amit Dipak Amin
  • , Patricia Ho
  • , Jana Biermann
  • , Somnath Tagore
  • , Matthew Ingham
  • , Gary K. Schwartz
  • , Benjamin Izar
  • Columbia University

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose: Sarcoma encompasses a diverse group of cancers that are typically resistant to current therapies, including immune checkpoint blockade (ICB), and underlying mechanisms are poorly understood. The contexture of sarcomas limits generation of high-quality data using cutting-edge molecular profiling methods, such as single-cell RNA-sequencing, thus hampering progress in understanding these understudied cancers. Experimental Design: Here, we demonstrate feasibility of producing multimodal single-cell genomics and whole-genome sequencing data from frozen tissues, profiling 75,716 cell transcriptomes of five undifferentiated pleomorphic sarcoma and three intimal sarcoma samples, including paired specimens from two patients treated with ICB. Results: We find that genomic diversity decreases in patients with response to ICB, and, in unbiased analyses, identify cancer cell programs associated with therapy resistance. Although interactions of tumor-infiltrating T lymphocytes within the tumor ecosystem increase in ICB responders, clonal expansion of CD8+ T cells alone was insufficient to predict drug responses. Conclusions: This study provides a framework for studying rare tumors and identifies salient and treatment-associated cancer cell intrinsic and tumor microenvironmental features in sarcomas.

Original languageEnglish
Pages (from-to)4530-4541
Number of pages12
JournalClinical Cancer Research
Volume30
Issue number19
DOIs
StatePublished - 1 Oct 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
©2024 The Authors;

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

Fingerprint

Dive into the research topics of 'Single-Cell Profiling of Sarcomas from Archival Tissue Reveals Programs Associated with Resistance to Immune Checkpoint Blockade'. Together they form a unique fingerprint.

Cite this