Role of Diacylglycerol Kinases in Acute Myeloid Leukemia.
Teresa GravinaChiara Maria Teresa BoggioElisa GorlaLuisa RaccaSilvia PolidoroSara CentonzeDaniela FerranteMonia LunghiAndrea GrazianiDavide CoràGianluca BaldanziPublished in: Biomedicines (2023)
Diacylglycerol kinases (DGKs) play dual roles in cell transformation and immunosurveillance. According to cancer expression databases, acute myeloid leukemia (AML) exhibits significant overexpression of multiple DGK isoforms, including DGKA , DGKD and DGKG , without a precise correlation with specific AML subtypes. In the TGCA database, high DGKA expression negatively correlates with survival, while high DGKG expression is associated with a more favorable prognosis. DGKA and DGKG also feature different patterns of co-expressed genes. Conversely, the BeatAML and TARGET databases show that high DGKH expression is correlated with shorter survival. To assess the suitability of DGKs as therapeutic targets, we treated HL-60 and HEL cells with DGK inhibitors and compared cell growth and survival with those of untransformed lymphocytes. We observed a specific sensitivity to R59022 and R59949, two poorly selective inhibitors, which promoted cytotoxicity and cell accumulation in the S phase in both cell lines. Conversely, the DGKA-specific inhibitors CU-3 and AMB639752 showed poor efficacy. These findings underscore the pivotal and isoform-specific involvement of DGKs in AML, offering a promising pathway for the identification of potential therapeutic targets. Notably, the DGKA and DGKH isoforms emerge as relevant players in AML pathogenesis, albeit DGKA inhibition alone seems insufficient to impair AML cell viability.
Keyphrases
- acute myeloid leukemia
- poor prognosis
- allogeneic hematopoietic stem cell transplantation
- single cell
- binding protein
- machine learning
- cell therapy
- cell proliferation
- long non coding rna
- squamous cell carcinoma
- big data
- induced apoptosis
- papillary thyroid
- signaling pathway
- genome wide
- bioinformatics analysis
- dna methylation
- bone marrow
- climate change
- artificial intelligence
- childhood cancer
- neural network
- squamous cell
- lymph node metastasis