TY - JOUR
T1 - Single-Cell Profiling of Sarcomas from Archival Tissue Reveals Programs Associated with Resistance to Immune Checkpoint Blockade
AU - Luthria, Karan
AU - Shah, Parin
AU - Caldwell, Blake
AU - Melms, Johannes C.
AU - Abuzaid, Sinan
AU - Jakubikova, Viktoria
AU - Zack Brodtman, D.
AU - Bose, Sminu
AU - Amin, Amit Dipak
AU - Ho, Patricia
AU - Biermann, Jana
AU - Tagore, Somnath
AU - Ingham, Matthew
AU - Schwartz, Gary K.
AU - Izar, Benjamin
N1 - Publisher Copyright:
©2024 The Authors;
PY - 2024/10/1
Y1 - 2024/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85205526592&partnerID=8YFLogxK
U2 - 10.1158/1078-0432.CCR-23-2976
DO - 10.1158/1078-0432.CCR-23-2976
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C2 - 39083415
AN - SCOPUS:85205526592
SN - 1078-0432
VL - 30
SP - 4530
EP - 4541
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 19
ER -