Loss of glucocorticoid receptor expression mediates in vivo dexamethasone resistance in T-cell acute lymphoblastic leukemia.
Anica M WandlerBenjamin J HuangJeffrey W CraigKathryn HayesHannah YanLauren K MeyerAlessandro ScacchettiGabriela MonsalveMonique DailQing LiJasmine C WongOlga WeinbergRobert P HasserjianScott C KoganPhilip JonssonKeith YamamotoDeepak SampathJoy NakitandweJames R DowningJinghui ZhangJon C AsterBarry S TaylorKevin ShannonPublished in: Leukemia (2020)
Despite decades of clinical use, mechanisms of glucocorticoid resistance are poorly understood. We treated primary murine T lineage acute lymphoblastic leukemias (T-ALLs) with the glucocorticoid dexamethasone (DEX) alone and in combination with the pan-PI3 kinase inhibitor GDC-0941 and observed a robust response to DEX that was modestly enhanced by GDC-0941. Continuous in vivo treatment invariably resulted in outgrowth of drug-resistant clones, ~30% of which showed markedly reduced glucocorticoid receptor (GR) protein expression. A similar proportion of relapsed human T-ALLs also exhibited low GR protein levels. De novo or preexisting mutations in the gene encoding GR (Nr3c1) occurred in relapsed clones derived from multiple independent parental leukemias. CRISPR/Cas9 gene editing confirmed that loss of GR expression confers DEX resistance. Exposing drug-sensitive T-ALLs to DEX in vivo altered transcript levels of multiple genes, and this response was attenuated in relapsed T-ALLs. These data implicate reduced GR protein expression as a frequent cause of glucocorticoid resistance in T-ALL.
Keyphrases
- acute lymphoblastic leukemia
- drug resistant
- acute myeloid leukemia
- crispr cas
- multiple myeloma
- diffuse large b cell lymphoma
- hodgkin lymphoma
- multidrug resistant
- allogeneic hematopoietic stem cell transplantation
- low dose
- endothelial cells
- binding protein
- poor prognosis
- liver failure
- machine learning
- drug induced
- copy number
- electronic health record
- rna seq
- transcription factor
- newly diagnosed
- single cell
- big data
- dna methylation
- artificial intelligence
- small molecule
- protein protein
- genome wide analysis
- adverse drug
- combination therapy