13 research outputs found

    ERα-LBD, an isoform of estrogen receptor alpha, promotes breast cancer proliferation and endocrine resistance

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    Estrogen receptor alpha (ER alpha) drives mammary gland development and breast cancer (BC) growth through an evolutionarily conserved linkage of DNA binding and hormone activation functions. Therapeutic targeting of the hormone binding pocket is a widely utilized and successful strategy for breast cancer prevention and treatment. However, resistance to this endocrine therapy is frequently encountered and may occur through bypass or reactivation of ER-regulated transcriptional programs. We now identify the induction of an ER alpha isoform, ER alpha-LBD, that is encoded by an alternative ESR1 transcript and lacks the activation function and DNA binding domains. Despite lacking the transcriptional activity, ER alpha-LBD is found to promote breast cancer growth and resistance to the ER alpha antagonist fulvestrant. ER alpha-LBD is predominantly localized to the cytoplasm and mitochondria of BC cells and leads to enhanced glycolysis, respiration and stem-like features. Intriguingly, ER alpha-LBD expression and function does not appear to be restricted to cancers that express full length ER alpha but also promotes growth of triple-negative breast cancers and ER alpha-LBD transcript (ESR1-LBD) is also present in BC samples from both ER alpha(+) and ER alpha(-) human tumors. These findings point to ER alpha-LBD as a potential mediator of breast cancer progression and therapy resistance

    Comprehensive Molecular and Clinicopathologic Analysis of 200 Pulmonary Invasive Mucinous Adenocarcinomas Identifies Distinct Characteristics of Molecular Subtypes

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    PURPOSE: Invasive mucinous adenocarcinoma (IMA) is a unique subtype of lung adenocarcinoma, characterized genomically by frequent KRAS mutations or specific gene fusions, most commonly involving NRG1. Comprehensive analysis of a large series of IMAs using broad DNA- and RNA-sequencing methods is still lacking, and it remains unclear whether molecular subtypes of IMA differ clinicopathologically. EXPERIMENTAL DESIGN: A total of 200 IMAs were analyzed by 410-gene DNA next-generation sequencing (MSK-IMPACT; n = 136) or hotspot 8-oncogene genotyping (n = 64). Driver-negative cases were further analyzed by 62-gene RNA sequencing (MSK-Fusion) and those lacking fusions were further tested by whole-exome sequencing and whole-transcriptome sequencing (WTS). RESULTS: Combined MSK-IMPACT and MSK-Fusion testing identified mutually exclusive driver alterations in 96% of IMAs, including KRAS mutations (76%), NRG1 fusions (7%), ERBB2 alterations (6%), and other less common events. In addition, WTS identified a novel NRG2 fusion (F11R-NRG2). Overall, targetable gene fusions were identified in 51% of KRAS wild-type IMAs, leading to durable responses to targeted therapy in some patients. Compared with KRAS-mutant IMAs, NRG1-rearranged tumors exhibited several more aggressive characteristics, including worse recurrence-free survival (P \u3c 0.0001). CONCLUSIONS: This is the largest molecular study of IMAs to date, where we demonstrate the presence of a major oncogenic driver in nearly all cases. This study is the first to document more aggressive characteristics of NRG1-rearranged IMAs, ERBB2 as the third most common alteration, and a novel NRG2 fusion in these tumors. Comprehensive molecular testing of KRAS wild-type IMAs that includes fusion testing is essential, given the high prevalence of alterations with established and investigational targeted therapies in this subset

    Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics

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    Abstract Despite rapid developments in single cell sequencing, sample-specific batch effects, detection of cell multiplets, and experimental costs remain outstanding challenges. Here, we introduce Cell Hashing, where oligo-tagged antibodies against ubiquitously expressed surface proteins uniquely label cells from distinct samples, which can be subsequently pooled. By sequencing these tags alongside the cellular transcriptome, we can assign each cell to its original sample, robustly identify cross-sample multiplets, and “super-load” commercial droplet-based systems for significant cost reduction. We validate our approach using a complementary genetic approach and demonstrate how hashing can generalize the benefits of single cell multiplexing to diverse samples and experimental designs

    The C-Terminal Portion of the Hrs Protein Interacts with Tsg101 and Interferes with Human Immunodeficiency Virus Type 1 Gag Particle Production

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    The human immunodeficiency virus type 1 (HIV-1) Gag protein recruits Tsg101 to facilitate HIV-1 particle budding and release. In uninfected cells, the Hrs protein recruits the ESCRT-I complex to the endosome, also through an interaction with Tsg101, to promote the sorting of host proteins into endosomal vesicles and multivesicular bodies. Here, we show that the overexpression of the C-terminal fragment of Hrs (residues 391 to 777) or Hrs mutants lacking either the N-terminal FYVE domain (mutant dFYVE) or the PSAP (residues 348 to 351) motif (mutant ASAA) all efficiently inhibit HIV-1 Gag particle production. Expression of the dFYVE or ASAA mutants of Hrs had no effect on the release of Moloney murine leukemia virus. Coimmunoprecipitation analysis showed that the expression of Hrs mutant dFYVE or ASAA significantly reduced or abolished the HIV-1 Gag-Tsg101 interaction. Yeast-two hybrid assays were used to identify two new and independent Tsg101 binding sites, one in the Hrs coiled-coil domain and one in the proline/glutamic acid-rich domain. Scanning electron microscopy of HeLa cells expressing HIV-1 Gag and the Hrs ASAA mutant showed viral particles arrested in “lump-like” structures that remained attached to the cell surface. Together, these data indicate that fragments of Hrs containing the C-terminal portion of the protein can potently inhibit HIV-1 particle release by efficiently sequestering Tsg101 away from the Gag polyprotein

    Resistance to TRK inhibition mediated by convergent MAPK pathway activation

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    TRK fusions are found in a variety of cancer types, lead to oncogenic addiction, and strongly predict tumor-agnostic efficacy of TRK inhibition(1-8). With the recent approval of the first selective TRK inhibitor, larotrectinib, for patients with any TRK-fusion-positive adult or pediatric solid tumor, to identify mechanisms of treatment failure after initial response has become of immediate therapeutic relevance. So far, the only known resistance mechanism is the acquisition of on-target TRK kinase domain mutations, which interfere with drug binding and can potentially be addressable through second-generation TRK inhibitors(9-11). Here, we report off-target resistance in patients treated with TRK inhibitors and in patient-derived models, mediated by genomic alterations that converge to activate the mitogen-activated protein kinase (MAPK) pathway. MAPK pathway-directed targeted therapy, administered alone or in combination with TRK inhibition, re-established disease control. Experimental modeling further suggests that upfront dual inhibition of TRK and MEK may delay time to progression in cancer types prone to the genomic acquisition of MAPK pathway-activating alterations. Collectively, these data suggest that a subset of patients will develop off-target mechanisms of resistance to TRK inhibition with potential implications for clinical management and future clinical trial design

    Accelerated chromatin biochemistry using DNA-barcoded nucleosome libraries

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    Elucidating the molecular details of how chromatin-associated factors deposit, remove and recognize histone posttranslational modification (‘PTM’) signatures remains a daunting task in the epigenetics field. Here, we introduce a versatile platform that greatly accelerates biochemical investigations into chromatin recognition and signaling. This technology is based on the streamlined semi-synthesis of DNA-barcoded nucleosome libraries with distinct combinations of PTMs. Chromatin immunoprecipitation of these libraries treated with purified chromatin effectors or the combined chromatin recognizing and modifying activities of the nuclear proteome is followed by multiplexed DNA-barcode sequencing. This ultrasensitive workflow allowed us to collect thousands of biochemical data points revealing the binding preferences of various nuclear factors for PTM patterns and how pre-existing PTMs, alone or synergistically, affect further PTM deposition via crosstalk mechanisms. We anticipate that the high-throughput and -sensitivity of the technology will help accelerate the decryption of the diverse molecular controls that operate at the level of chromatin
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