Functional profiling of microtumors to identify cancer associated fibroblast-derived drug targets

Shane R Horman1, Jeremy To1, John Lamb2

  • 1Functional Genomics, Genomics Institute of the Novartis Research Foundation (GNF), San Diego, CA, USA.

Oncotarget
|December 17, 2017
PubMed

Insights

This study introduces a novel 3D tumor:CAF spheroid platform for high-content drug discovery. It identifies cancer-associated fibroblast (CAF) genes, like OGR1, crucial for tumor growth, offering new therapeutic targets.

Area of Science:

  • Oncology
  • Cancer Biology
  • Drug Discovery

Background:

  • Molecularly-targeted therapies are advancing cancer treatment.
  • Increasing focus on targeting cancer cell-extrinsic factors, including tumor stroma.
  • Cancer-associated fibroblasts (CAFs) are key stromal components with therapeutic potential, but assaying CAF-tumor interactions is challenging.

Purpose of the Study:

  • To develop a 3D multi-culture tumor:CAF spheroid phenotypic screening platform for high-content drug discovery.
  • To systematically profile candidate genes for CAF-intrinsic anti-spheroid activity.
  • To identify novel CAF-derived targets for cancer therapeutics.

Main Methods:

  • Development of a 3D multi-culture tumor:CAF spheroid phenotypic screening platform.
  • Application of a functional genomics approach to profile 1,024 candidate genes.
  • Systematic analysis of CAF-intrinsic anti-spheroid activity.

Main Results:

  • Identification of several CAF genes critical for tumor:CAF co-culture spheroid development and maintenance.
  • Discovery of CAF-derived targets, including ARAF and COL3A1, essential for tumor compartment spheroid development.
  • Highlighting the G-protein-coupled receptor OGR1 as a CAF-specific target, demonstrating delayed tumor growth in OGR1 knockout mice.

Conclusions:

  • The developed 3D spheroid platform is a robust microphysiological system for identifying new CAF targets.
  • CAF-specific targets, such as OGR1, represent promising avenues for targeted cancer therapeutics, particularly for colorectal cancer.
  • This approach facilitates drug discovery efforts by enabling the identification of exploitable CAF-tumor interactions.