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Updated: Jul 26, 2025

A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth
Published on: December 22, 2020
Stromal circuits involving tumor-associated macrophages and cancer-associated fibroblasts
Eleonora Timperi1, Emanuela Romano1,2
1Department of Immunology, INSERM U932, Université Paris Sciences et Lettres (PSL) Research University, Institut Curie, Paris, France.
Abstract:
The tumor associated macrophages (TAM) represent one of most abundant subpopulations across several solid cancers and their number/frequency is associated with a poor clinical outcome. It has been clearly demonstrated that stromal cells, such as the cancer associated fibroblasts (CAFs), may orchestrate TAM recruitment, survival and reprogramming. Today, single cell-RNA sequencing (sc-RNA seq) technologies allowed a more granular knowledge about TAMs and CAFs phenotypical and functional programs. In this mini-review we discuss the recent discoveries in the sc-RNA seq field focusing on TAM and CAF identity and their crosstalk in the tumor microenvironment (TME) of solid cancers.
Insights
Tumor-associated macrophages (TAMs) and cancer-associated fibroblasts (CAFs) are key in solid cancers. Single-cell RNA sequencing reveals their complex interactions within the tumor microenvironment, impacting patient outcomes.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Tumor-associated macrophages (TAMs) are abundant in solid cancers and linked to poor prognosis.
- Cancer-associated fibroblasts (CAFs) influence TAM recruitment, survival, and function.
- Understanding TAM-CAF interactions is crucial for cancer therapy.
Purpose of the Study:
- To review recent advances in single-cell RNA sequencing (sc-RNA seq) for studying TAMs and CAFs.
- To elucidate the phenotypical and functional characteristics of TAMs and CAFs.
- To highlight the crosstalk between TAMs and CAFs in the tumor microenvironment (TME).
Main Methods:
- Review of recent literature on sc-RNA seq applications in cancer research.
- Analysis of studies focusing on TAM and CAF identity and function.
- Synthesis of findings on TAM-CAF interactions within the TME.
Main Results:
- sc-RNA seq provides high-resolution data on TAM and CAF heterogeneity.
- Distinct TAM and CAF subpopulations exhibit specialized roles in cancer progression.
- Complex crosstalk signaling pathways mediate TAM-CAF interactions.
Conclusions:
- sc-RNA seq is a powerful tool for dissecting cellular crosstalk in the TME.
- Targeting TAM-CAF interactions may offer novel therapeutic strategies for solid cancers.
- Further research is needed to fully understand and exploit these interactions.
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