Update on immune-based therapy strategies targeting cancer stem cells.
Amirhossein IzadpanahNiloufar MohammadkhaniMina MasoudniaMahsa GhasemzadArefeh SaeedianHamid MehdizadehMansour PoorebrahimMarzieh EbrahimiPublished in: Cancer medicine (2023)
Accumulating data reveals that tumors possess a specialized subset of cancer cells named cancer stem cells (CSCs), responsible for metastasis and recurrence of malignancies, with various properties such as self-renewal, heterogenicity, and capacity for drug resistance. Some signaling pathways or processes like Notch, epithelial to mesenchymal transition (EMT), Hedgehog (Hh), and Wnt, as well as CSCs' surface markers such as CD44, CD123, CD133, and epithelial cell adhesion molecule (EpCAM) have pivotal roles in acquiring CSCs properties. Therefore, targeting CSC-related signaling pathways and surface markers might effectively eradicate tumors and pave the way for cancer survival. Since current treatments such as chemotherapy and radiation therapy cannot eradicate all of the CSCs and tumor relapse may happen following temporary recovery, improving novel and more efficient therapeutic options to combine with current treatments is required. Immunotherapy strategies are the new therapeutic modalities with promising results in targeting CSCs. Here, we review the targeting of CSCs by immunotherapy strategies such as dendritic cell (DC) vaccines, chimeric antigen receptors (CAR)-engineered immune cells, natural killer-cell (NK-cell) therapy, monoclonal antibodies (mAbs), checkpoint inhibitors, and the use of oncolytic viruses (OVs) in pre-clinical and clinical studies. This review will mainly focus on blood malignancies but also describe solid cancers.
Keyphrases
- cancer stem cells
- cell therapy
- cell adhesion
- dendritic cells
- cancer therapy
- radiation therapy
- stem cells
- signaling pathway
- mesenchymal stem cells
- epithelial mesenchymal transition
- free survival
- cell proliferation
- dna damage
- nk cells
- squamous cell carcinoma
- cell cycle
- pi k akt
- regulatory t cells
- locally advanced
- young adults
- electronic health record
- single cell
- machine learning
- bone marrow
- oxidative stress
- big data