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Dorfman, David

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Dorfman

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Dorfman, David

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Now showing 1 - 4 of 4
  • Publication

    Gauging NOTCH1 Activation in Cancer Using Immunohistochemistry

    (Public Library of Science, 2013) Kluk, Michael J.; Ashworth, Todd; Wang, Hongfang; Knoechel, Birgit; Mason, Emily F.; Morgan, Elizabeth; Dorfman, David; Pinkus, Geraldine; Weigert, Oliver; Hornick, Jason; Chirieac, Lucian; Hirsch, Michelle; Oh, David J.; South, Andrew P.; Leigh, Irene M.; Pourreyron, Celine; Cassidy, Andrew J.; DeAngelo, Daniel J.; Weinstock, David M.; Krop, Ian E.; Dillon, Deborah; Brock, Jane; Lazar, Alexander J. F.; Peto, Myron; Cho, Raymond J.; Stoeck, Alexander; Haines, Brian B.; Sathayanrayanan, Sriram; Rodig, Scott; Aster, Jon

    Fixed, paraffin-embedded (FPE) tissues are a potentially rich resource for studying the role of NOTCH1 in cancer and other pathologies, but tests that reliably detect activated NOTCH1 (NICD1) in FPE samples have been lacking. Here, we bridge this gap by developing an immunohistochemical (IHC) stain that detects a neoepitope created by the proteolytic cleavage event that activates NOTCH1. Following validation using xenografted cancers and normal tissues with known patterns of NOTCH1 activation, we applied this test to tumors linked to dysregulated Notch signaling by mutational studies. As expected, frequent NICD1 staining was observed in T lymphoblastic leukemia/lymphoma, a tumor in which activating NOTCH1 mutations are common. However, when IHC was used to gauge NOTCH1 activation in other human cancers, several unexpected findings emerged. Among B cell tumors, NICD1 staining was much more frequent in chronic lymphocytic leukemia than would be predicted based on the frequency of NOTCH1 mutations, while mantle cell lymphoma and diffuse large B cell lymphoma showed no evidence of NOTCH1 activation. NICD1 was also detected in 38% of peripheral T cell lymphomas. Of interest, NICD1 staining in chronic lymphocytic leukemia cells and in angioimmunoblastic lymphoma was consistently more pronounced in lymph nodes than in surrounding soft tissues, implicating factors in the nodal microenvironment in NOTCH1 activation in these diseases. Among carcinomas, diffuse strong NICD1 staining was observed in 3.8% of cases of triple negative breast cancer (3 of 78 tumors), but was absent from 151 non-small cell lung carcinomas and 147 ovarian carcinomas. Frequent staining of normal endothelium was also observed; in line with this observation, strong NICD1 staining was also seen in 77% of angiosarcomas. These findings complement insights from genomic sequencing studies and suggest that IHC staining is a valuable experimental tool that may be useful in selection of patients for clinical trials.

  • Publication

    Affinity flow fractionation of cells via transient interactions with asymmetric molecular patterns

    (Nature Publishing Group, 2013) Bose, Suman; Singh, Rishi; Hanewich-Hollatz, Mikhail; Shen, Chong; Lee, Chia-Hua; Dorfman, David; Karp, Jeffrey; Karnik, Rohit

    Flow fractionation of cells using physical fields to achieve lateral displacement finds wide applications, but its extension to surface molecule-specific separation requires labeling. Here we demonstrate affinity flow fractionation (AFF) where weak, short-range interactions with asymmetric molecular patterns laterally displace cells in a continuous, label-free process. We show that AFF can directly draw neutrophils out of a continuously flowing stream of blood with an unprecedented 400,000-fold depletion of red blood cells, with the sorted cells being highly viable, unactivated, and functionally intact. The lack of background erythrocytes enabled the use of AFF for direct enumeration of neutrophils by a downstream detector, which could distinguish the activation state of neutrophils in blood. The compatibility of AFF with capillary microfluidics and its ability to directly separate cells with high purity and minimal sample preparation will facilitate the design of simple and portable devices for point-of-care diagnostics and quick, cost-effective laboratory analysis.

  • Publication

    A novel 3D mesenchymal stem cell model of the multiple myeloma bone marrow niche: biologic and clinical applications

    (Impact Journals LLC, 2016) Jakubikova, Jana; Cholujova, Danka; Hideshima, Teru; Gronesova, Paulina; Soltysova, Andrea; Harada, Takeshi; Joo, Jungnam; Kong, Sun-Young; Szalat, Raphael; Richardson, Paul; Munshi, Nikhil; Dorfman, David; Anderson, Kenneth

    Specific niches within the tumor bone marrow (BM) microenvironment afford a sanctuary for multiple myeloma (MM) clones due to stromal cell-tumor cell interactions, which confer survival advantage and drug resistance. Defining the sequelae of tumor cell interactions within the MM niches on an individualized basis may provide the rationale for personalized therapies. To mimic the MM niche, we here describe a new 3D co-culture ex-vivo model in which primary MM patient BM cells are co-cultured with mesenchymal stem cells (MSC) in a hydrogel 3D system. In the 3D model, MSC with conserved phenotype (CD73+CD90+CD105+) formed compact clusters with active fibrous connections, and retained lineage differentiation capacity. Extracellular matrix molecules, integrins, and niche related molecules including N-cadherin and CXCL12 are expressed in 3D MSC model. Furthermore, activation of osteogenesis (MMP13, SPP1, ADAMTS4, and MGP genes) and osteoblastogenic differentiation was confirmed in 3D MSC model. Co-culture of patient-derived BM mononuclear cells with either autologous or allogeneic MSC in 3D model increased proliferation of MM cells, CXCR4 expression, and SP cells. We carried out immune profiling to show that distribution of immune cell subsets was similar in 3D and 2D MSC model systems. Importantly, resistance to novel agents (IMiDs, bortezomib, carfilzomib) and conventional agents (doxorubicin, dexamethasone, melphalan) was observed in 3D MSC system, reflective of clinical resistance. This 3D MSC model may therefore allow for studies of MM pathogenesis and drug resistance within the BM niche. Importantly, ongoing prospective trials are evaluating its utility to inform personalized targeted and immune therapy in MM.

  • Publication

    Targetable vulnerabilities in T- and NK-cell lymphomas identified through preclinical models

    (Nature Publishing Group UK, 2018) Ng, Samuel Y.; Yoshida, Noriaki; Christie, Amanda L.; Ghandi, Mahmoud; Dharia, Neekesh; Dempster, Joshua; Murakami, Mark; Shigemori, Kay; Morrow, Sara N.; Van Scoyk, Alexandria; Cordero, Nicolas A.; Stevenson, Kristen E.; Puligandla, Maneka; Haas, Brian; Lo, Christopher; Meyers, Robin; Gao, Galen; Cherniack, Andrew; Louissaint, Abner; Nardi, Valentina; Thorner, Aaron R.; Long, Henry; Qiu, Xintao; Morgan, Elizabeth; Dorfman, David; Fiore, Danilo; Jang, Julie; Epstein, Alan L.; Dogan, Ahmet; Zhang, Yanming; Horwitz, Steven M.; Jacobsen, Eric; Santiago, Solimar; Ren, Jian-Guo; Guerlavais, Vincent; Annis, D. Allen; Aivado, Manuel; Saleh, Mansoor N.; Mehta, Amitkumar; Tsherniak, Aviad; Root, David; Vazquez, Francisca; Hahn, William; Inghirami, Giorgio; Aster, Jon; Weinstock, David; Koch, Raphael

    T- and NK-cell lymphomas (TCL) are a heterogenous group of lymphoid malignancies with poor prognosis. In contrast to B-cell and myeloid malignancies, there are few preclinical models of TCLs, which has hampered the development of effective therapeutics. Here we establish and characterize preclinical models of TCL. We identify multiple vulnerabilities that are targetable with currently available agents (e.g., inhibitors of JAK2 or IKZF1) and demonstrate proof-of-principle for biomarker-driven therapies using patient-derived xenografts (PDXs). We show that MDM2 and MDMX are targetable vulnerabilities within TP53-wild-type TCLs. ALRN-6924, a stapled peptide that blocks interactions between p53 and both MDM2 and MDMX has potent in vitro activity and superior in vivo activity across 8 different PDX models compared to the standard-of-care agent romidepsin. ALRN-6924 induced a complete remission in a patient with TP53-wild-type angioimmunoblastic T-cell lymphoma, demonstrating the potential for rapid translation of discoveries from subtype-specific preclinical models.