Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistance

Ryan H Boe1, Catherine G Triandafillou2, Rossana Lazcano3,4

  • 1Genetics and Epigenetics Program, Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Insights

Cancer therapy resistance involves cell-intrinsic and microenvironmental factors. This study reveals shared resistance programs across melanoma cell lines and patient tumors, linked to distinct immune microenvironments and influenced by tissue features.

Area of Science:

  • Oncology
  • Cancer Biology
  • Immunology

Background:

  • Cancer therapy resistance is a complex challenge driven by intrinsic cellular states and the tumor microenvironment.
  • Previous research identified multiple resistant cell fates in melanoma post-targeted therapy, determined by pre-treatment transcriptional states.
  • The interplay between genetic backgrounds, resistant cell fates, and the tumor microenvironment remains incompletely understood.

Purpose of the Study:

  • To investigate whether melanoma resistant cell fates are shared across different genetic backgrounds.
  • To explore the interaction between melanoma resistant cell fates and the tumor microenvironment.
  • To elucidate the mechanisms underlying therapy resistance in melanoma.

Main Methods:

  • Spatial transcriptomics and single-cell RNA sequencing were employed to analyze melanoma cells.
  • Consensus non-negative matrix factorization was used to identify shared resistance programs.
  • Analysis of patient samples and xenograft models provided in vivo insights.

Main Results:

  • Distinct melanoma resistance programs were uncovered, shaped by both intrinsic cellular states and the tumor microenvironment.
  • Shared intrinsic resistance programs were identified across different cell lines, indicating universal and unique resistance pathways.
  • In patient samples, resistance programs coexisted within tumors and associated with diverse immune signatures, highlighting a close connection between the microenvironment and resistant cell fate distribution.

Conclusions:

  • Melanoma therapy resistance is influenced by both intrinsic cellular programs and the tumor microenvironment.
  • Resistant cell fates are conserved across different genetic backgrounds and interact dynamically with immune signatures.
  • In vivo, tissue features such as necrosis can dictate the adoption of specific resistant fates, underscoring the importance of the tumor ecosystem in therapeutic outcomes.