33 research outputs found

    PAX3-FOXO1 uses its activation domain to recruit CBP/P300 and shape RNA Pol2 cluster distribution

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    Activation of oncogenic gene expression from long-range enhancers is initiated by the assembly of DNA-binding transcription factors (TF), leading to recruitment of co-activators such as CBP/p300 to modify the local genomic context and facilitate RNA-Polymerase 2 (Pol2) binding. Yet, most TF-to-coactivator recruitment relationships remain unmapped. Here, studying the oncogenic fusion TF PAX3-FOXO1 (P3F) from alveolar rhabdomyosarcoma (aRMS), we show that a single cysteine in the activation domain (AD) of P3F is important for a small alpha helical coil that recruits CBP/p300 to chromatin. P3F driven transcription requires both this single cysteine and CBP/p300. Mutants of the cysteine reduce aRMS cell proliferation and induce cellular differentiation. Furthermore, we discover a profound dependence on CBP/p300 for clustering of Pol2 loops that connect P3F to its target genes. In the absence of CBP/p300, Pol2 long range enhancer loops collapse, Pol2 accumulates in CpG islands and fails to exit the gene body. These results reveal a potential novel axis for therapeutic interference with P3F in aRMS and clarify the molecular relationship of P3F and CBP/p300 in sustaining active Pol2 clusters essential for oncogenic transcription

    Interaction between SNAI2 and MYOD enhances oncogenesis and suppresses differentiation in Fusion Negative Rhabdomyosarcoma

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    Rhabdomyosarcoma (RMS) is an aggressive pediatric malignancy of the muscle, that includes Fusion Positive (FP)-RMS harboring PAX3/7-FOXO1 and Fusion Negative (FN)-RMS commonly with RAS pathway mutations. RMS express myogenic master transcription factors MYOD and MYOG yet are unable to terminally differentiate. Here, we report that SNAI2 is highly expressed in FN-RMS, is oncogenic, blocks myogenic differentiation, and promotes growth. MYOD activates SNAI2 transcription via super enhancers with striped 3D contact architecture. Genome wide chromatin binding analysis demonstrates that SNAI2 preferentially binds enhancer elements and competes with MYOD at a subset of myogenic enhancers required for terminal differentiation. SNAI2 also suppresses expression of a muscle differentiation program modulated by MYOG, MEF2, and CDKN1A. Further, RAS/MEK-signaling modulates SNAI2 levels and binding to chromatin, suggesting that the differentiation blockade by oncogenic RAS is mediated in part by SNAI2. Thus, an interplay between SNAI2, MYOD, and RAS prevents myogenic differentiation and promotes tumorigenesis. Rhabdomyosarcomas are tumours blocked in myogenic differentiation, which despite the expression of master muscle regulatory factors, including MYOD, are unable to differentiate. Here, the authors show that SNAI2 is upregulated by MYOD through super enhancers, binds to MYOD target enhancers, and arrests differentiation

    New insights into targeting the androgen receptor for cancer therapy: from selective delivery of gold nanoparticles and histone deacetylase inhibitors, to potent antagonists and inverse agonists

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    Cancer is the second leading cause of death in the United States (more than half a million people each year), and even with billions of dollars in medical effort patients are rarely cured. This dissertation research is devoted to meeting this medical need by providing new cancer therapeutics that are more potent and safer than current chemotherapies. This is achieved by using two state of the art anticancer “warheads”: 1) gold nanoparticle (AuNP) technology and 2) a new class of epigenetic anticancer small molecules, histone deacetylase inhibitors (HDACi). These warheads are then selectively delivered to cancer cells via “homing devices” targeted to receptors that are overexpressed in the cancers. This work primarily focuses on the androgen receptor (AR) to target prostate cancer. The 1st chapter sets the stage, providing scientific rationale and background for the central hypothesis: small molecules that engage the AR can, upon conjugation to a therapeutic agent, enable selective delivery of that agent to prostate cancer cells. Chapter 2 delves into the structural molecular biology of the androgen receptor. There is a survey of the crystallographic data for all nuclear receptors, providing structural information which is used to build AR homology models for antagonist and inverse agonist modes of ligand binding. These models are used to design AR targeting ligands (Chapters 3, 5, 6 and 7). The application of the targeting technology is illustrated by attaching them to AuNPs for selective delivery to prostate cancer cells (Chapter 3). Next, in order to appreciate the importance of using targeting agents in HDACi cancer therapeutics, we reviewed this recently emerged field in Chapter 4. In this chapter we argue that the failure of HDACi in solid tumors, despite more than 500 clinical trials in the last decade, is primarily due to an inability of these small molecules to accumulate at effective concentrations in the cancer. We provide an analysis of the paradigms being pursued to overcome this barrier, including HDAC isoform selectivity, localized administration, and targeting cap groups to achieve selective tissue and cell type distribution. In Chapter 5, this last approach (targeting cap groups, or a “homing device”) is illustrated with HDACi targeted to prostate cancer via antiandrogens that bind the AR. The second generation of improved “homing devices” is disclosed in Chapter 6 (for both AuNPs and HDACi), in addition to preliminary ADMET data and safety studies in mice. Excitingly, our three dimensional understanding of binding to the AR allowed design and structure-activity-relationship studies that lead to the first reported examples of AR inverse agonists (Chapter 7) Several points of significance: ‱ AuNP targeted to AR ∙ have the strongest binding affinity ever reported (IC50 ~14 picomolar) ∙ are actively recruited to prostate cancer cells ∙ overcome treatment resistance in advanced prostate cancer cells ∙ exhibit nanomolar anticancer potency ∙ resolved the identity of the “membrane AR” as the GPRC6A ‱ HDACi targeted to AR ∙ have HDACi activity and AR binding affinity superior to their clinical precursors ∙ exhibit potent AR antagonist activity ∙ induce AR translocation to the nucleus in a HDACi dependent fashion ∙ selectively and potently kill prostate cancer cells that express AR ∙ are safer than Tylenol¼, as tested in small animals ‱ Pure AR binding ligand studies ∙ resulted in the discovery of the first examples of AR inverse agonists, which are vastly more potent that clinically available antiandrogens for prostate cancer ∙ work via a never-before-seen mechanism of action, by localizing to the nucleus and recruiting corepressors to actively shut off AR genesPh.D

    Biosemiotic Entropy of the Genome: Mutations and Epigenetic Imbalances Resulting in Cancer

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    Biosemiotic entropy involves the deterioration of biological sign systems. The genome is a coded sign system that is connected to phenotypic outputs through the interpretive functions of the tRNA/ribosome machinery. This symbolic sign system (semiosis) at the core of all biology has been termed “biosemiosis”. Layers of biosemiosis and cellular information management are analogous in varying degrees to the semiotics of computer programming, spoken, and written human languages. Biosemiotic entropy — an error or deviation from a healthy state — results from errors in copying functional information (mutations) and errors in the appropriate context or quantity of gene expression (epigenetic imbalance). The concept of biosemiotic entropy is a deeply imbedded assumption in the study of cancer biology. Cells have a homeostatic, preprogrammed, ideal or healthy state that is rooted in genomics, strictly orchestrated by epigenetic regulation, and maintained by DNA repair mechanisms. Cancer is an eminent illustration of biosemiotic entropy, in which the corrosion of genetic information via substitutions, deletions, insertions, fusions, and aberrant regulation results in malignant phenotypes. However, little attention has been given to explicitly outlining the paradigm of biosemiotic entropy in the context of cancer. Herein we distill semiotic theory (from the familiar and well understood spheres of human language and computer code) to draw analogies useful for understanding the operation of biological semiosis at the genetic level. We propose that the myriad checkpoints, error correcting mechanisms, and immunities are all systems whose primary role is to defend against the constant pressure of biosemiotic entropy, which malignancy must shut down in order to achieve advanced stages. In lieu of the narrower tumor suppressor/oncogene model, characterization of oncogenesis into the biosemiotic framework of sign, index, or object entropy may allow for more effective explanatory hypotheses for cancer diagnosis, with consequence in improving profiling and bettering therapeutic outcomes

    NuRD subunit CHD4 regulates super-enhancer accessibility in rhabdomyosarcoma and represents a general tumor dependency

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    The NuRD complex subunit CHD4 is essential for fusion-positive rhabdomyosarcoma (FP-RMS) survival, but the mechanisms underlying this dependency are not understood. Here, a NuRD-specific CRISPR screen demonstrates that FP-RMS is particularly sensitive to CHD4 amongst the NuRD members. Mechanistically, NuRD complex containing CHD4 localizes to super-enhancers where CHD4 generates a chromatin architecture permissive for the binding of the tumor driver and fusion protein PAX3-FOXO1, allowing downstream transcription of its oncogenic program. Moreover, CHD4 depletion removes HDAC2 from the chromatin, leading to an increase and spread of histone acetylation, and prevents the positioning of RNA Polymerase 2 at promoters impeding transcription initiation. Strikingly, analysis of genome-wide cancer dependency databases identifies CHD4 as a general cancer vulnerability. Our findings describe CHD4, a classically defined repressor, as positive regulator of transcription and super-enhancer accessibility as well as establish this remodeler as an unexpected broad tumor susceptibility and promising drug target for cancer therapy

    NuRD subunit CHD4 regulates super-enhancer accessibility in rhabdomyosarcoma and represents a general tumor dependency

    No full text
    The NuRD complex subunit CHD4 is essential for fusion-positive rhabdomyosarcoma (FP-RMS) survival, but the mechanisms underlying this dependency are not understood. Here, a NuRD-specific CRISPR screen demonstrates that FP-RMS is particularly sensitive to CHD4 amongst the NuRD members. Mechanistically, NuRD complex containing CHD4 localizes to super-enhancers where CHD4 generates a chromatin architecture permissive for the binding of the tumor driver and fusion protein PAX3-FOXO1, allowing downstream transcription of its oncogenic program. Moreover, CHD4 depletion removes HDAC2 from the chromatin, leading to an increase and spread of histone acetylation, and prevents the positioning of RNA Polymerase 2 at promoters impeding transcription initiation. Strikingly, analysis of genome-wide cancer dependency databases identifies CHD4 as a general cancer vulnerability. Our findings describe CHD4, a classically defined repressor, as positive regulator of transcription and super-enhancer accessibility as well as establish this remodeler as an unexpected broad tumor susceptibility and promising drug target for cancer therapy.ISSN:2050-084

    BET Bromodomain Degradation Disrupts Function but Not 3D Formation of RNA Pol2 Clusters

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    Fusion-positive rhabdomyosarcoma (FP-RMS) is driven by a translocation that creates the chimeric transcription factor PAX3-FOXO1 (P3F), which assembles de novo super enhancers to drive high levels of transcription of other core regulatory transcription factors (CRTFs). P3F recruits co-regulatory factors to super enhancers such as BRD4, which recognizes acetylated lysines via BET bromodomains. In this study, we demonstrate that inhibition or degradation of BRD4 leads to global decreases in transcription, and selective downregulation of CRTFs. We also show that the BRD4 degrader ARV-771 halts transcription while preserving RNA Polymerase II (Pol2) loops between super enhancers and their target genes, and causes the removal of Pol2 only past the transcriptional end site of CRTF genes, suggesting a novel effect of BRD4 on Pol2 looping. We finally test the most potent molecule, inhibitor BMS-986158, in an orthotopic PDX mouse model of FP-RMS with additional high-risk mutations, and find that it is well tolerated in vivo and leads to an average decrease in tumor size. This effort represents a partnership with an FP-RMS patient and family advocates to make preclinical data rapidly accessible to the family, and to generate data to inform future patients who develop this disease

    Vangl2/RhoA signaling regulates stem cell self-renewal programs and growth in Rhabdomyosarcoma

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    International audienceTumor growth and relapse are driven by tumor propagating cells (TPCs). However, mechanisms regulating TPC fate choices, maintenance, and self-renewal are not fully understood. Here, we show that Van Gogh-like 2 (Vangl2), a core regulator of the non-canonical Wnt/planar cell polarity (Wnt/PCP) pathway, affects TPC self-renewal in rhabdomyosarcoma (RMS)-a pediatric cancer of muscle. VANGL2 is expressed in a majority of human RMS and within early mononuclear progenitor cells. VANGL2 depletion inhibited cell proliferation, reduced TPC numbers, and induced differentiation of human RMS in vitro and in mouse xenografts. Using a zebrafish model of embryonal rhabdomyosarcoma (ERMS), we determined that Vangl2 expression enriches for TPCs and promotes their self-renewal. Expression of constitutively active and dominant-negative isoforms of RHOA revealed that it acts downstream of VANGL2 to regulate proliferation and maintenance of TPCs in human RMS. Our studies offer insights into pathways that control TPCs and identify new potential therapeutic targets
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