Prognostication of DNA Damage Response Protein Expression Patterns in Chronic Lymphocytic Leukemia.
Ti'ara L GriffenFieke W HoffYihua QiuJan BurgerWilliam WierdaSteven M KornblauPublished in: International journal of molecular sciences (2023)
Proteomic DNA Damage Repair (DDR) expression patterns in Chronic Lymphocytic Leukemia were characterized by quantifying and clustering 24 total and phosphorylated DDR proteins. Overall, three protein expression patterns (C1-C3) were identified and were associated as an independent predictor of distinct patient overall survival outcomes. Patients within clusters C1 and C2 had poorer survival outcomes and responses to fludarabine, cyclophosphamide, and rituxan chemotherapy compared to patients within cluster C3. However, DDR protein expression patterns were not prognostic in more modern therapies with BCL2 inhibitors or a BTK/PI3K inhibitor. Individually, nine of the DDR proteins were prognostic for predicting overall survival and/or time to first treatment. When looking for other proteins that may be associated with or influenced by DDR expression patterns, our differential expression analysis found that cell cycle and adhesion proteins were lower in clusters compared to normal CD19 controls. In addition, cluster C3 had a lower expression of MAPK proteins compared to the poor prognostic patient clusters thus implying a potential regulatory connection between adhesion, cell cycle, MAPK, and DDR signaling in CLL. Thus, assessing the proteomic expression of DNA damage proteins in CLL provided novel insights for deciphering influences on patient outcomes and expanded our understanding of the potential complexities and effects of DDR cell signaling.
Keyphrases
- cell cycle
- chronic lymphocytic leukemia
- dna damage
- poor prognosis
- end stage renal disease
- oxidative stress
- ejection fraction
- newly diagnosed
- dna damage response
- cell proliferation
- signaling pathway
- chronic kidney disease
- case report
- prognostic factors
- peritoneal dialysis
- single cell
- dna repair
- low dose
- cell therapy
- risk assessment
- transcription factor
- climate change
- bone marrow
- stem cells
- combination therapy
- biofilm formation
- escherichia coli