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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.

Supplementary Table S1 lists biochemical and cellular activity of BRG1/BRM inhibitors. Supplementary Table S2 lists BRM011 and BRM014 activity across cell line panel. Supplementary Table S3 lists cell lines generated for this study. Supplementary Table S4 lists antibody and qPCR probes used in this study.

Additional method details for ATAC-Seq Data Analysis and ChIP-qPCR

Supplementary Data from Exquisite Sensitivity to Dual BRG1/BRM ATPase Inhibitors Reveals Broad SWI/SNF Dependencies in Acute Myeloid Leukemia

This file describes supplementary material and methods used.

This file contains supplementary tables describing parameters for antitumor activity (T/C analyses), PK and protein crystallography.

This file contains the figure legends for supplementary figures S1-S7.

Supplementary Figure S1 shows additional shRNA knockdown data in uveal melanoma cell lines. Supplementary Figure S2 shows additional dual BRG1/BRM knockdown data and BRG1 rescue data. Supplementary Figure S3 shows basal SWI/SNF subunit expression, additional caspase activity and viability data in compound treated and shRNA knockdown cell lines, and SWI/SNF mutations in uveal melanoma cells lines. Supplementary Figure S4 shows additional MITF knockdown data and further RNA-Seq and ATAC-Seq data set analyses. Supplementary Figure S5 shows target gene modulation by compound treatment in uveal melanoma cell lines and additional MITF overexpression rescue data. Supplementary Figure S6 shows genomic location of primers used in ChIP-qPCR experiment.

Ovarian cancer cell lines do not reproduce the clinical association between BRCA loss of function and sensitivity to olaparib, but patient-derived ovarian tumor xenografts do.

Ovarian PDX raw growth and sequencing data.

Candidate biomarkers are not independently prognostic of survival in primary ovarian tumor samples from TCGA.

Genomic landscape analysis of epithelial ovarian carcinoma of PDXs, patient tumors (TCGA) and cell lines (CCLE).

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.

Mean tumor volume change difference between best monotherapy and each of 9 combinations. Hazard ratio for combination versus independent action simulation PFS.

Most ovarian tumors respond to one of four biomarker-guided treatments.

Supplementary Material PDF, including supplementary methods and supplementary figures 1-4

Compound dose, dosing schedule, administration route, target and drug type.

Ovarian PDX response category by therapy.

Uveal melanoma is a rare and aggressive cancer that originates in the eye. Currently, there are no approved targeted therapies and very few effective treatments for this cancer. Although activating mutations in the G protein alpha subunits, GNAQ and GNA11, are key genetic drivers of the disease, few additional drug targets have been identified. Recently, studies have identified context-specific roles for the mammalian SWI/SNF chromatin remodeling complexes (also known as BAF/PBAF) in various cancer lineages. Here, we find evidence that the SWI/SNF complex is essential through analysis of functional genomics screens and further validation in a panel of uveal melanoma cell lines using both genetic tools and small-molecule inhibitors of SWI/SNF. In addition, we describe a functional relationship between the SWI/SNF complex and the melanocyte lineage–specific transcription factor Microphthalmia-associated Transcription Factor, suggesting that these two factors cooperate to drive a transcriptional program essential for uveal melanoma cell survival. These studies highlight a critical role for SWI/SNF in uveal melanoma, and demonstrate a novel path toward the treatment of this cancer.

Recent studies have highlighted that cancer cells with a loss of the SWI/SNF complex catalytic subunit BRG1 are dependent on the remaining ATPase, BRM, making it an attractive target for cancer therapy. However, an understanding of the extent of target inhibition required to arrest cell growth, necessary to develop an appropriate therapeutic strategy, remains unknown. Here, we utilize tunable depletion of endogenous BRM using the SMASh degron, and interestingly observe that BRG1-mutant lung cancer cells require near complete depletion of BRM to robustly inhibit growth both in vitro and in vivo. Therefore, to identify pathways that synergize with partial BRM depletion and afford a deeper response, we performed a genome-wide CRISPR screen and discovered a combinatorial effect between BRM depletion and the knockout of various genes of the oxidative phosphorylation pathway and the anti-apoptotic gene MCL1. Together these studies provide an important framework to elucidate the requirements of BRM inhibition in the BRG1-mutant state with implications on the feasibility of targeting BRM alone, as well as reveal novel insights into pathways that can be exploited in combination toward deeper anti-tumor responses.

Despite an improving therapeutic landscape, significant challenges remain in treating the majority of patients with advanced ovarian or renal cancer. We identified the cell–cell adhesion molecule cadherin-6 (CDH6) as a lineage gene having significant differential expression in ovarian and kidney cancers. HKT288 is an optimized CDH6-targeting DM4-based antibody–drug conjugate (ADC) developed for the treatment of these diseases. Our study provides mechanistic evidence supporting the importance of linker choice for optimal antitumor activity and highlights CDH6 as an antigen for biotherapeutic development. To more robustly predict patient benefit of targeting CDH6, we incorporate a population-based patient-derived xenograft (PDX) clinical trial (PCT) to capture the heterogeneity of response across an unselected cohort of 30 models—a novel preclinical approach in ADC development. HKT288 induces durable tumor regressions of ovarian and renal cancer models in vivo, including 40% of models on the PCT, and features a preclinical safety profile supportive of progression toward clinical evaluation.Significance: We identify CDH6 as a target for biotherapeutics development and demonstrate how an integrated pharmacology strategy that incorporates mechanistic pharmacodynamics and toxicology studies provides a rich dataset for optimizing the therapeutic format. We highlight how a population-based PDX clinical trial and retrospective biomarker analysis can provide correlates of activity and response to guide initial patient selection for first-in-human trials of HKT288. Cancer Discov; 7(9); 1030–45. ©2017 AACR.This article is highlighted in the In This Issue feature, p. 920

DNA methylation plays key roles in diverse biological processes such as X chromosome inactivation, transposable element repression, genomic imprinting, and tissue-specific gene expression. Sequencing-based DNA methylation profiling provides an unprecedented opportunity to map and compare complete DNA methylomes. This includes one of the most widely applied technologies for measuring DNA methylation: methylated DNA immunoprecipitation followed by sequencing (MeDIP-seq), coupled with a complementary method, methylation-sensitive restriction enzyme sequencing (MRE-seq). A computational approach that integrates data from these two different but complementary assays and predicts methylation differences between samples has been unavailable. Here, we present a novel integrative statistical framework M&M (for integration of MeDIP-seq and MRE-seq) that dynamically scales, normalizes, and combines MeDIP-seq and MRE-seq data to detect differentially methylated regions. Using sample-matched whole-genome bisulfite sequencing (WGBS) as a gold standard, we demonstrate superior accuracy and reproducibility of M&M compared to existing analytical methods for MeDIP-seq data alone. M&M leverages the complementary nature of MeDIP-seq and MRE-seq data to allow rapid comparative analysis between whole methylomes at a fraction of the cost of WGBS. Comprehensive analysis of nineteen human DNA methylomes with M&M reveals distinct DNA methylation patterns among different tissue types, cell types, and individuals, potentially underscoring divergent epigenetic regulation at different scales of phenotypic diversity. We find that differential DNA methylation at enhancer elements, with concurrent changes in histone modifications and transcription factor binding, is common at the cell, tissue, and individual levels, whereas promoter methylation is more prominent in reinforcing fundamental tissue identities.

The role of intermediate methylation states in DNA is unclear. Here, to comprehensively identify regions of intermediate methylation and their quantitative relationship with gene activity, we apply integrative and comparative epigenomics to 25 human primary cell and tissue samples. We report 18,452 intermediate methylation regions located near 36% of genes and enriched at enhancers, exons and DNase I hypersensitivity sites. Intermediate methylation regions average 57% methylation, are predominantly allele-independent and are conserved across individuals and between mouse and human, suggesting a conserved function. These regions have an intermediate level of active chromatin marks and their associated genes have intermediate transcriptional activity. Exonic intermediate methylation correlates with exon inclusion at a level between that of fully methylated and unmethylated exons, highlighting gene context-dependent functions. We conclude that intermediate DNA methylation is a conserved signature of gene regulation and exon usage., Many loci in the mammalian genome are intermediately methylated. Here, by comprehensively identifying these loci and quantifying their relationship with gene activity, the authors show that intermediate methylation is an evolutionarily conserved epigenomic signature of gene regulation.