Degron mediated BRM/SMARCA2 depletion uncovers novel combination partners for treatment of BRG1/SMARCA4-mutant cancers.

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

Capmatinib (INC280) is active against models of non–small cell lung cancer and other cancer types with defined mechanisms of MET activation

Purpose: The selective MET inhibitor capmatinib is being investigated in multiple clinical trials, both as a single agent and in combination. Here, we describe the preclinical data of capmatinib, which supported the clinical biomarker strategy for rational patient selection. Experimental Design: The selectivity and cellular activity of capmatinib were assessed in large cellular screening panels. Antitumor efficacy was quantified in a large set of cell line– or patient-derived xenograft models, testing single-agent or combination treatment depending on the genomic profile of the respective models. Results: Capmatinib was found to be highly selective for MET over other kinases. It was active against cancer models that are characterized by MET amplification, marked MET overexpression, MET exon 14 skipping mutations, or MET activation via expression of the ligand hepatocyte growth factor (HGF). In cancer models where MET is the dominant oncogenic driver, anticancer activity could be further enhanced by combination treatments, for example, by the addition of apoptosis-inducing BH3 mimetics. The combinations of capmatinib and other kinase inhibitors resulted in enhanced anticancer activity against models where MET activation co-occurred with other oncogenic drivers, for example EGFR activating mutations. Conclusions: Activity of capmatinib in preclinical models is associated with a small number of plausible genomic features. The low fraction of cancer models that respond to capmatinib as a single agent suggests that the implementation of patient selection strategies based on these biomarkers is critical for clinical development. Capmatinib is also a rational combination partner for other kinase inhibitors to combat MET-driven resistance

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

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, dependence on the catalytic subunit BRG1/SMARCA4 has been observed in acute myeloid leukemia (AML), yet the feasibility of direct therapeutic targeting of SWI/SNF catalytic activity in leukemia remains unknown. Here, we evaluated the activity of 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 to other lineages. This result was striking in comparison to 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. Our studies reveal the breadth of SWI/SNF dependency and support targeting SWI/SNF catalytic function as a potential therapeutic strategy in AML

The discovery of SWI/SNF chromatin remodeling activity as a novel and targetable dependency in uveal melanoma

Uveal melanoma is a rare and aggressive cancer that originates in the uveal tissue of the eye. Currently, there are no approved targeted therapies for this cancer, and very few effective treatments are available. While activating mutations in the G protein alpha subunits, GNAQ and GNA11, are key genetic drivers of the disease, other targetable molecular players are only partially understood. Through new analysis of unbiased, functional genomics screens and comprehensive validation studies in a panel of uveal melanoma cell lines, we find evidence that the SWI/SNF complex is essential in uveal melanoma. The mammalian SWI/SNF chromatin remodeling complexes (also known as BAF/PBAF) are often mutated in cancers and described as tumor suppressors, yet context specific roles for these complexes in the maintenance of certain cancers are beginning to emerge. We determined that the catalytic activity of SWI/SNF is critical, and further translated these findings with our recently described small molecule inhibitors of BRM and BRG1, the closely related catalytic subunits of the SWI/SNF complexes. Finally, we describe a functional relationship between the SWI/SNF complex and the melanocyte lineage specific transcription factor MITF, suggesting that SWI/SNF cooperates with MITF to drive a lineage specific 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 to the treatment of this cancer

Tumor cells can follow distinct evolutionary paths to become resistant to epidermal growth factor receptor inhibition

Although mechanisms of acquired resistance of EGFR mutant non-small cell lung cancers to EGFR inhibitors have been identified, little is known about how resistant clones evolve during drug therapy. Here, we observe that acquired resistance caused by the T790M gatekeeper mutation can occur either by selection of pre-existing T790M clones or via genetic evolution of initially T790M-negative drug tolerant cells. The path to resistance impacts the biology of the resistant clone, as those that evolved from drug tolerant cells had a diminished apoptotic response to third generation EGFR inhibitors that target T790M EGFR; treatment with navitoclax, an inhibitor of BCL-XL and BCL-2 restored sensitivity. We corroborated these findings using cultures derived directly from EGFR inhibitor-resistant patient tumors. These findings provide evidence that clinically relevant drug resistant cancer cells can both pre-exist and evolve from drug tolerant cells, and point to therapeutic opportunities to prevent or overcome resistance in the clinic

Dual transcript and protein quantification in a massive single cell array

Recently, single-cell molecular analysis has been leveraged to achieve unprecedented levels of biological investigation. However, a lack of simple, high-throughput single-cell methods has hindered in-depth population-wide studies with single-cell resolution. We report a microwell-based cytometric method for simultaneous measurements of gene and protein expression dynamics in thousands of single cells. We quantified the regulatory effects of transcriptional and translational inhibitors on cMET mRNA and cMET protein in cell populations. We studied the dynamic responses of individual cells to drug treatments, by measuring cMET overexpression levels in individual non-small cell lung cancer (NSCLC) cells with induced drug resistance. Across NSCLC cell lines with a given protein expression, distinct patterns of transcript-protein correlation emerged. We believe this platform is applicable for interrogating the dynamics of gene expression, protein expression, and translational kinetics at the single-cell level - a paradigm shift in life science and medicine toward discovering vital cell regulatory mechanisms