Neuronal differentiation and cell-cycle programs mediate response to BET-bromodomain inhibition in MYC-driven medulloblastoma.
Pratiti BandopadhayayFrederica PiccioniRyan O'RourkePatricia HoElizabeth M GonzalezGraham BuchanKenin QianGabrielle GionetEmily GirardMargo CoxonMatthew G ReesLisa BrenanFrank DuboisOfer ShapiraNoah F GreenwaldMelanie PagesAmanda Balboni IniguezBrenton R PaolellaAlice MengClaire SinaiGiovanni RotiNeekesh V DhariaAmanda CreechBenjamin TanenbaumPrasidda KhadkaAdam TracyHong L TivAndrew L HongShannon CoyRumana RashidJia-Ren LinGlenn S CowleyFred C LamAmy GoodaleYenarae LeeKathleen SchoolcraftFrancisca VazquezWilliam C HahnAviad TsherniakJames E BradnerMichael B YaffeTill MildeStefan M PfisterJun QiMonica SchenoneSteven A CarrKeith L LigonMark W KieranSandro SantagataJames M OlsonPrafulla C GokhaleJacob D JaffeDavid E RootKimberly StegmaierCory M JohannessenRameen BeroukhimPublished in: Nature communications (2019)
BET-bromodomain inhibition (BETi) has shown pre-clinical promise for MYC-amplified medulloblastoma. However, the mechanisms for its action, and ultimately for resistance, have not been fully defined. Here, using a combination of expression profiling, genome-scale CRISPR/Cas9-mediated loss of function and ORF/cDNA driven rescue screens, and cell-based models of spontaneous resistance, we identify bHLH/homeobox transcription factors and cell-cycle regulators as key genes mediating BETi's response and resistance. Cells that acquire drug tolerance exhibit a more neuronally differentiated cell-state and expression of lineage-specific bHLH/homeobox transcription factors. However, they do not terminally differentiate, maintain expression of CCND2, and continue to cycle through S-phase. Moreover, CDK4/CDK6 inhibition delays acquisition of resistance. Therefore, our data provide insights about the mechanisms underlying BETi effects and the appearance of resistance and support the therapeutic use of combined cell-cycle inhibitors with BETi in MYC-amplified medulloblastoma.
Keyphrases
- cell cycle
- transcription factor
- cell proliferation
- genome wide
- genome wide identification
- single cell
- crispr cas
- poor prognosis
- dna binding
- cell therapy
- public health
- stem cells
- big data
- bone marrow
- long non coding rna
- mesenchymal stem cells
- brain injury
- endoplasmic reticulum stress
- cerebral ischemia
- cell cycle arrest
- deep learning
- adverse drug