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1.
Mol Cancer Res ; 20(3): 361-372, 2022 Mar 01.
Article in English | MEDLINE | ID: mdl-34799403

ABSTRACT

Various subunits of mammalian SWI/SNF chromatin remodeling complexes display loss-of-function mutations characteristic of tumor suppressors in different cancers, but an additional role for SWI/SNF supporting cell survival in distinct cancer contexts is emerging. In particular, genetic dependence on the catalytic subunit BRG1/SMARCA4 has been observed in acute myelogenous leukemia (AML), yet the feasibility of direct therapeutic targeting of SWI/SNF catalytic activity in leukemia remains unknown. Here, we evaluated the activity of dual BRG1/BRM ATPase inhibitors across a genetically diverse panel of cancer cell lines and observed that hematopoietic cancer cell lines were among the most sensitive compared with other lineages. This result was striking in comparison with data from pooled short hairpin RNA screens, which showed that only a subset of leukemia cell lines display sensitivity to BRG1 knockdown. We demonstrate that combined genetic knockdown of BRG1 and BRM is required to recapitulate the effects of dual inhibitors, suggesting that SWI/SNF dependency in human leukemia extends beyond a predominantly BRG1-driven mechanism. Through gene expression and chromatin accessibility studies, we show that the dual inhibitors act at genomic loci associated with oncogenic transcription factors, and observe a downregulation of leukemic pathway genes, including MYC, a well-established target of BRG1 activity in AML. Overall, small-molecule inhibition of BRG1/BRM induced common transcriptional responses across leukemia models resulting in a spectrum of cellular phenotypes. IMPLICATIONS: Our studies reveal the breadth of SWI/SNF dependency in leukemia and support targeting SWI/SNF catalytic function as a potential therapeutic strategy in AML.


Subject(s)
Adenosine Triphosphatases , Leukemia, Myeloid, Acute , Adenosine Triphosphatases/genetics , Animals , Carcinogenesis , Chromatin Assembly and Disassembly , DNA Helicases/genetics , Humans , Leukemia, Myeloid, Acute/drug therapy , Leukemia, Myeloid, Acute/genetics , Mammals/genetics , Mammals/metabolism , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Transcription Factors/genetics , Transcription Factors/metabolism
2.
Cancer Res ; 80(19): 4278-4287, 2020 10 01.
Article in English | MEDLINE | ID: mdl-32747364

ABSTRACT

Advanced ovarian cancers are a leading cause of cancer-related death in women and are currently treated with surgery and chemotherapy. This standard of care is often temporarily successful but exhibits a high rate of relapse, after which, treatment options are few. Here we investigate whether biomarker-guided use of multiple targeted therapies, including small molecules and antibody-drug conjugates, is a viable alternative. A panel of patient-derived ovarian cancer xenografts (PDX), similar in genetics and chemotherapy responsiveness to human tumors, was exposed to 21 monotherapies and combination therapies. Three monotherapies and one combination were found to be active in different subsets of PDX. Analysis of gene expression data identified biomarkers associated with responsiveness to each of the three targeted therapies, none of which directly inhibits an oncogenic driver. While no single treatment had as high a response rate as chemotherapy, nearly 90% of PDXs were eligible for and responded to at least one biomarker-guided treatment, including tumors resistant to standard chemotherapy. The distribution of biomarker positivity in The Cancer Genome Atlas data suggests the potential for a similar precision approach in human patients. SIGNIFICANCE: This study exploits a panel of patient-derived xenografts to demonstrate that most ovarian tumors can be matched to effective biomarker-guided treatments.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/pharmacology , Biomarkers, Tumor/genetics , Ovarian Neoplasms/drug therapy , Xenograft Model Antitumor Assays/methods , Antineoplastic Agents/pharmacology , Carcinoma, Ovarian Epithelial/drug therapy , Carcinoma, Ovarian Epithelial/genetics , Carcinoma, Ovarian Epithelial/mortality , Carcinoma, Ovarian Epithelial/pathology , Drug Resistance, Neoplasm/drug effects , Drug Resistance, Neoplasm/genetics , Female , Gene Expression Regulation, Neoplastic , Humans , Kaplan-Meier Estimate , Molecular Targeted Therapy/methods , Ovarian Neoplasms/genetics , Ovarian Neoplasms/mortality , Ovarian Neoplasms/pathology , Precision Medicine , Proof of Concept Study
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