Metabolic adaptation drives arsenic trioxide resistance in acute promyelocytic leukemia.
Nithya BalasundaramSaravanan GanesanEzhilarasi ChendamaraiHamenth Kumar PalaniArvind VenkatramanAnsu Abu AlexSachin DavidSwathy PalanikumarNair Reeshma RadhakrishnanMohammed Yasar MSanjeev KrishnaAnu KorulaKulkarni Uday PrakashNancy Beryl JanetPoonkuzhali BalasubramanianVikram MathewsPublished in: Blood advances (2021)
Acquired genetic mutations can confer resistance to arsenic trioxide (ATO) in the treatment of acute promyelocytic leukemia (APL). However, such resistance-conferring mutations are rare and do not explain most disease recurrence seen in the clinic. We have generated stable ATO-resistant promyelocytic cell lines that are also less sensitive to ATRA and the combination of ATO and ATRA compared to the sensitive cell line. Characterization of these in-house generated resistant cell lines showed significant differences in immunophenotype, drug transporter expression, anti-apoptotic protein dependence, and PML-RARA mutation. Gene expression profiling revealed prominent dysregulation of the cellular metabolic pathways in these ATO resistant APL cell lines. Glycolytic inhibition by 2-DG was sufficient and comparable to the standard of care (ATO) in targeting the sensitive APL cell line. 2-DG was also effective in the in vivo transplantable APL mouse model; however, it did not affect the ATO resistant cell lines. In contrast, the resistant cell lines were significantly affected by compounds targeting the mitochondrial respiration when combined with ATO, irrespective of the ATO resistance-conferring genetic mutations or the pattern of their anti-apoptotic protein dependency. Our data demonstrate that the addition of mitocans in combination with ATO can overcome ATO resistance. We further show that this combination has the potential in the treatment of non-M3 AML and relapsed APL. The translation of this approach in the clinic needs to be explored further.
Keyphrases
- acute myeloid leukemia
- cell death
- mouse model
- bone marrow
- primary care
- liver failure
- healthcare
- emergency department
- cancer therapy
- heavy metals
- drug induced
- copy number
- risk assessment
- pain management
- small molecule
- single cell
- big data
- gene expression
- drug delivery
- anti inflammatory
- intensive care unit
- long non coding rna
- quality improvement
- deep learning
- multiple myeloma
- machine learning
- respiratory failure
- chronic pain
- hodgkin lymphoma
- dna methylation
- free survival
- artificial intelligence