Heterogeneity of cancer-associated fibroblasts: Opportunities for precision medicine.
Ryu KanzakiKristian PietrasPublished in: Cancer science (2020)
Despite marked development in cancer therapies during recent decades, the prognosis for advanced cancer remains poor. The conventional tumor-cell-centric view of cancer can only explain part of cancer progression, and thus a thorough understanding of the tumor microenvironment (TME) is crucial. Among cells within the TME, cancer-associated fibroblasts (CAFs) are attracting attention as a target for cancer therapy. However, CAFs present a heterogeneous population of cells and more detailed classification of CAFs and investigation of functions of each subset is needed to develop novel CAF-targeted therapies. In this context, application of newly developed approaches to single-cell analysis has already made an impact on our understanding of the heterogeneity of CAFs. Here, we review the recent literature on CAF heterogeneity and function, and discuss the possibility of novel therapies targeting CAF subsets.
Keyphrases
- single cell
- papillary thyroid
- cancer therapy
- induced apoptosis
- rna seq
- advanced cancer
- palliative care
- squamous cell
- machine learning
- systematic review
- high throughput
- cell cycle arrest
- deep learning
- drug delivery
- lymph node metastasis
- squamous cell carcinoma
- signaling pathway
- cell proliferation
- stem cells
- endoplasmic reticulum stress
- cell therapy
- oxidative stress
- young adults
- mesenchymal stem cells