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Yustein, J. T.

Publications and source records attributed to Yustein, J. T..

2 recordsLinked to original sources

Intrinsic epigenetic state of primary osteosarcoma drives metastasis

Osteosarcoma (OS) is the most common primary malignant bone tumor affecting the pediatric population with high potential to metastasize to distal sites, most commonly the lung. Insights into defining molecular features contributing to metastatic potential are lacking. We have mapped the active chromatin landscapes of OS tumors by integrating histone H3 lysine acetylated chromatin (H3K27ac) profiles (n=13), chromatin accessibility profiles (n=11) and gene expression (n=13) to understand the differences in their active chromatin profiles and its impact on molecular mechanisms driving the malignant phenotypes. Primary OS tumors from patients with metastasis (primary met) have a distinct active chromatin landscape compared to primary tumors from patients without metastatic disease (localized). The difference in chromatin activity shapes the transcriptional profile of OS. We identified novel candidate genes involved in OS pathogenesis and metastasis, including PPP1R1B, PREX1 and IGF2BP1, which exhibit increased chromatin activity in primary met along with higher transcript levels. Overall, differential chromatin activity in primary met occurs in proximity of genes regulating actin cytoskeleton organization, cellular adhesion, and extracellular matrix suggestive of their role in facilitating OS metastasis. Furthermore, chromatin profiling of tumors from metastatic lung lesions noted increases in chromatin activity in genes involved in cell migration and key intracellular signaling cascades, including the Wnt pathway. Thus, this data demonstrates that metastatic potential is intrinsically present in primary metastatic tumors and the cellular chromatin profiles further adapt to allow for successful dissemination, migration, and colonization at the distal metastatic site.

cancer biology↗

MyoD-Cre driven alterations in K-Ras and p53 lead to a mouse model with histological and molecular characteristics of human rhabdomyosarcoma with direct translational applications

Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, with overall long-term survival rates of about 65-70%. Thus, additional molecular insights and representative models are critical for further identifying and evaluating new treatment modalities. Using MyoD-Cre mediated introduction of mutant K-RasG12D and perturbations in p53 we have developed a novel genetically engineered mouse model (GEMM) for RMS. Specifically, we directly crossed mice expressing MyoD promoter-regulated Cre-recombinase with germline p53Flox or Lox-Stop-Lox (LSL) knock-in alleles expressing oncogenic p53R172H and/or K-RasG12D mutants. The anatomic sites of primary RMS development observed in these mice recapitulated human disease, with the most frequent sites of tumor growth seen in the head, neck, extremities, and abdomen. We have confirmed RMS histology and diagnosis through hematoxylin and eosin (H&E) staining, as well as positive immunohistochemistry (IHC) staining for desmin, myogenin, and phosphotungstic acid hematoxylin (PTAH). We established cell lines from several of the GEMM tumors with the ability to engraft and develop tumors in immunocompetent mice with similar histological and staining features as the primary tumors. Furthermore, injection of syngeneic RMS lines via tail vein had high metastatic potential to the lungs. Transcriptomic analyses of p53R172H/K-RasG12D GEMM-derived tumors showed evidence of high molecular homology with human RMS. Specifically, we noted alterations in gene ontologies including immune response, metabolism and mRNA processing. Finally, pre-clinical use of these murine RMS lines demonstrated similar therapeutic responsiveness to relevant chemotherapy and targeted therapies as human cell line models. Summary StatementWe have developed a new conditional genetically engineered mouse model of rhabdomyosarcoma (RMS) with homologous molecular signature to human RMS that provides valuable pre-clinical models for evaluating novel therapies.

cancer biology↗