Colorectal Cancer Organoid-Stroma Biobank Allows Subtype-Specific Assessment of Individualized Therapy Responses

Henner F Farin1,2,3,4, Mohammed H Mosa1,2, Benardina Ndreshkjana1,2

  • 1Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt am Main, Germany.

Cancer Discovery
|July 25, 2023
PubMed

Insights

Patient-derived tumor organoids (PDTOs) better mimic colorectal cancer (CRC) when cultured with cancer-associated fibroblasts (CAFs). This organoid-stroma model reveals context-dependent CRC subtypes and therapy resistance mechanisms.

Area of Science:

  • Oncology
  • Cancer Biology
  • Translational Research

Background:

  • The tumor microenvironment significantly impacts colorectal cancer (CRC) prognosis and treatment effectiveness.
  • Patient-derived tumor organoids (PDTOs) are promising for preclinical studies but often lose critical characteristics like consensus molecular subtypes (CMS) in culture.
  • Understanding context-dependent cellular behavior is crucial for accurate CRC modeling.

Purpose of the Study:

  • To establish a colorectal cancer organoid-stroma biobank to better reflect tumor heterogeneity.
  • To investigate the role of cancer-associated fibroblasts (CAFs) in maintaining PDTO fidelity and subtype characteristics.
  • To identify context-specific therapeutic resistance mechanisms and potential drug targets in CRC.

Main Methods:

  • Established a biobank of matched PDTOs and CAFs from 30 CRC patients.
  • Performed context-specific phenotyping, including transcriptomic analysis and coculture experiments.
  • Utilized functional profiling, chemogenomic library screening, and xenotransplantation.

Main Results:

  • Coculture with CAFs or xenotransplantation improved transcriptomic fidelity and induced subtype-specific stromal gene expression in PDTOs.
  • Functional profiling in coculture identified CMS4-specific resistance to gefitinib and SN-38.
  • Identified MET as a common target for stromal resistance mechanisms, dependent on patient and therapy context.

Conclusions:

  • Colorectal cancer phenotypes are plastic and highly context-dependent, influenced by the tumor microenvironment.
  • CAFs are essential for accurately representing molecular subtypes and predicting therapy responses in ex vivo models.
  • The organoid-stroma biobank serves as a valuable resource for studying context dependency in CRC and improving preclinical testing.

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