Cyclin-Dependent Kinase Inhibitors in Hematological Malignancies-Current Understanding, (Pre-)Clinical Application and Promising Approaches.
Christian JunghanssNina SchoenwaelderSina SenderChristian JunghanssClaudia MaletzkiPublished in: Cancers (2021)
Genetically altered stem or progenitor cells feature gross chromosomal abnormalities, inducing modified ability of self-renewal and abnormal hematopoiesis. Cyclin-dependent kinases (CDK) regulate cell cycle progression, transcription, DNA repair and are aberrantly expressed in hematopoietic malignancies. Incorporation of CDK inhibitors (CDKIs) into the existing therapeutic regimens therefore constitutes a promising strategy. However, the complex molecular heterogeneity and different clinical presentation is challenging for selecting the right target and defining the ideal combination to mediate long-term disease control. Preclinical and early clinical data suggest that specific CDKIs have activity in selected patients, dependent on the existing rearrangements and mutations, potentially acting as biomarkers. Indeed, CDK6, expressed in hematopoietic cells, is a direct target of MLL fusion proteins often observed in acute leukemia and thus contributes to leukemogenesis. The high frequency of aberrancies in the retinoblastoma pathway additionally warrants application of CDKIs in hematopoietic neoplasms. In this review, we describe the preclinical and clinical advances recently made in the use of CDKIs. These include the FDA-approved CDK4/6 inhibitors, traditional and novel pan-CDKIs, as well as dual kinase inhibitors. We additionally provide an overview on molecular mechanisms of response vs. resistance and discuss open questions.
Keyphrases
- cell cycle
- high frequency
- dna repair
- cell proliferation
- bone marrow
- end stage renal disease
- transcranial magnetic stimulation
- dna damage
- induced apoptosis
- newly diagnosed
- chronic kidney disease
- ejection fraction
- cell cycle arrest
- peritoneal dialysis
- dna damage response
- cell therapy
- transcription factor
- single cell
- deep learning
- mesenchymal stem cells
- oxidative stress
- big data
- cell death
- endoplasmic reticulum stress
- artificial intelligence
- copy number
- pi k akt
- drug administration