In vitro models of cancer-associated fibroblast heterogeneity uncover subtype-specific effects of CRISPR

Elysia Saputra1, Shamsudheen Karuthedath Vellarikkal1, Lixia Li1

  • 1Department of Data, AI, and Genome Sciences, Merck & Co., Inc., Rahway, NJ, USA.

Molecular Oncology
|October 28, 2025
PubMed

Insights

Cancer-associated fibroblasts (CAFs) exhibit diverse subtypes with varying roles in cancer. This study develops a novel model to accurately represent CAF heterogeneity and subtype-specific responses to therapeutic targets in pancreatic cancer.

Area of Science:

  • Oncology
  • Cancer Biology
  • Fibroblast Research

Background:

  • Cancer-associated fibroblasts (CAFs) are crucial in tumor progression, exhibiting diverse subtypes with pro- and anti-tumorigenic functions.
  • Understanding CAF heterogeneity is vital for developing targeted cancer therapies, yet knowledge, especially in pancreatic cancer, and model translatability remain limited.

Purpose of the Study:

  • To develop and validate a co-culturing model for CAFs that accurately reflects in vivo heterogeneity.
  • To characterize CAF subtypes in pancreatic cancer and assess their phenotypes, including immunomodulatory roles.
  • To investigate the impact of targeting stromal genes on CAF subtypes and evaluate model translatability.

Main Methods:

  • Development of a co-culturing model using primary CAFs and immortalized tumor cell lines.
  • Single-cell transcriptomics to analyze CAF subtype heterogeneity in pancreatic cancer.
  • Single-cell CRISPR perturbations to assess the effects of stromal gene targets on CAF subtypes.

Main Results:

  • The co-culturing model reliably represents CAF phenotypes, correlating with immuno-resistant and immunomodulatory characteristics.
  • Single-cell transcriptomics revealed significant CAF subtype heterogeneity in pancreatic cancer.
  • CRISPR perturbations demonstrated subtype-specific effects of stromal gene targeting, highlighting the importance of model selection.

Conclusions:

  • A novel co-culturing model effectively recapitulates CAF heterogeneity and phenotypes relevant to pancreatic cancer.
  • Targeting specific CAF subtypes offers a promising therapeutic strategy, but requires careful consideration of model systems for translatability.
  • Further research into CAF interconvertibility and subtype-specific targeting is warranted for effective cancer therapy development.

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