Single-cell spatial multiomics reveals tumor microenvironment vulnerabilities in cancer resistance to immunotherapy

Camelia Quek1, Aditya Pratapa2, Xinyu Bai1

  • 1Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Cell Reports
|June 30, 2024
PubMed

Insights

Heterogeneous resistance to immunotherapy poses a challenge in cancer. This study reveals an "immune-striving" tumor microenvironment and specific melanoma subclones associated with immunotherapy outcomes.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Heterogeneous resistance to immunotherapy is a significant hurdle in cancer treatment, frequently resulting in disease progression and mortality.
  • Understanding the tumor microenvironment's role in immunotherapy resistance is crucial for developing effective therapeutic strategies.

Purpose of the Study:

  • To perform longitudinal multimodal single-cell analysis of tumors from metastatic melanoma patients with varying responses to immunotherapy.
  • To establish a toolkit for integrating transcriptomic, cellular epitope, and spatial data for deeper tumor insights.

Main Methods:

  • Utilized CITE-seq and 40-plex PhenoCycler tissue imaging for longitudinal multimodal single-cell analysis.
  • Developed a multimodal integration toolkit to align transcriptomic, cellular epitope, and spatial information.
  • Analyzed tumors from metastatic melanoma patients exhibiting innate resistance, acquired resistance, or response to immunotherapy.

Main Results:

  • Identified an "immune-striving" tumor microenvironment characterized by peri-tumor lymphoid aggregates and reduced T-cell infiltration.
  • Observed the emergence of MITF+SPARCL1+ and CENPF+ melanoma subclones post-therapy in resistant cases.
  • Found that enrichment of B cell-associated signatures in lymphoid aggregates correlated with improved patient survival.

Conclusions:

  • Longitudinal multimodal analysis provides critical insights into the dynamics of the tumor microenvironment during immunotherapy.
  • Specific melanoma subclones and lymphoid aggregate composition are associated with immunotherapy resistance and patient outcomes.
  • These findings can inform the development of novel therapeutic interventions targeting tumor-immune interactions.

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