Targeting Leukemia-Initiating Cells in Acute Lymphoblastic Leukemia.
Francesco TamiroAndrew P WengVincenzo GiambraPublished in: Cancer research (2021)
The concept that different leukemias are developmentally distinct and, like in normal hematopoiesis, generated by restricted populations of cells named leukemia-initiating cells (LIC), is becoming more established. These cancer stem-like cells have been assumed to have unique properties, including the capability of self-renewing and giving rise to "differentiated" or non-LICs that make up the whole tumor. Cell populations enriched with LIC activity have been characterized in different hematopoietic malignancies, including human acute lymphoblastic leukemia (ALL). Related studies have also demonstrated that LICs are functionally distinct from bulk cells and modulated by distinct molecular signaling pathways and epigenetic mechanisms. Here we review several biological and clinical aspects related to LICs in ALL, including (i) immunophenotypic characterization of LIC-enriched subsets in human and mouse models of ALL, (ii) emerging therapeutics against regulatory signaling pathways involved in LIC progression and maintenance in T- and B-cell leukemias, (iii) novel epigenetic and age-related mechanisms of LIC propagation, and (iv) ongoing efforts in immunotherapy to eradicate LIC-enriched cell subsets in relapsed and refractory ALL cases. Current conventional treatments do not efficiently eliminate LICs. Therefore, innovative therapeutics that exclusively target LICs hold great promise for developing an effective cure for ALL.
Keyphrases
- induced apoptosis
- acute lymphoblastic leukemia
- signaling pathway
- cell cycle arrest
- endothelial cells
- acute myeloid leukemia
- gene expression
- bone marrow
- squamous cell carcinoma
- dna methylation
- mouse model
- single cell
- pi k akt
- oxidative stress
- stem cells
- epithelial mesenchymal transition
- transcription factor
- allogeneic hematopoietic stem cell transplantation
- big data
- young adults
- drug delivery
- peripheral blood
- mesenchymal stem cells
- papillary thyroid
- deep learning