Glutaminase inhibition in combination with azacytidine in myelodysplastic syndromes: Clinical efficacy and correlative analyses.
Marina KonoplevaCourtney D D DiNardoTushar BhagatNatalia BaranAlessia LodiKapil SaxenaTianyu CaiXiaoping SuAnna SkwarskaVeronica GuerraVinitha KuruvillaSergej KonoplevShanisha Gordon-MitchellKith PradhanSrinivas AluriMeghan E CollinsShannon SweeneyJonathan BusquetAtul RathoreQing DengMichael R GreenSteven GrantSusan DemoGaurav ChoudharySrabani SahuBeamon AgarwalMason SpodekVictor ThiruthuvanathanBritta WillUlrich SteidlGeorge TippettJan BurgerGautam BorthakurElias JabbourNaveen PemmarajuTapan KadiaSteven Mitchell KornblauNaval G DaverKiran NaqviNicholas ShortGuillermo Garcia ManeroStefano TizianiAmit VermaPublished in: Research square (2023)
Malignancies can become reliant on glutamine as an alternative energy source and as a facilitator of aberrant DNA methylation, thus implicating glutaminase (GLS) as a potential therapeutic target. We demonstrate preclinical synergy of telaglenastat (CB-839), a selective GLS inhibitor, when combined with azacytidine (AZA), in vitro and in vivo , followed by a phase Ib/II study of the combination in patients with advanced MDS. Treatment with telaglenastat/AZA led to an ORR of 70% with CR/mCRs in 53% patients and a median overall survival of 11.6 months. scRNAseq and flow cytometry demonstrated a myeloid differentiation program at the stem cell level in clinical responders. Expression of non-canonical glutamine transporter, SLC38A1, was found to be overexpressed in MDS stem cells; was associated with clinical responses to telaglenastat/AZA and predictive of worse prognosis in a large MDS cohort. These data demonstrate the safety and efficacy of a combined metabolic and epigenetic approach in MDS.
Keyphrases
- stem cells
- dna methylation
- flow cytometry
- end stage renal disease
- gene expression
- newly diagnosed
- chronic kidney disease
- ejection fraction
- cell therapy
- peritoneal dialysis
- prognostic factors
- quality improvement
- acute myeloid leukemia
- immune response
- dendritic cells
- electronic health record
- patient reported outcomes
- mesenchymal stem cells
- combination therapy
- copy number
- data analysis
- human health
- replacement therapy