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Sorger, Peter

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Sorger

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Peter

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Sorger, Peter

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Now showing 1 - 4 of 4
  • Publication

    Opposing Immune and Genetic Mechanisms Shape Oncogenic Programs in Synovial Sarcoma

    (Cold Spring Harbor Laboratory, 2021-01-25) Jerby-Arnon, Livnat; Neftel, Cyril; Shore, Marni E.; Weisman, Hannah R.; Mathewson, Nathan; McBride, Matthew J.; Haas, Brian; Izar, Benjamin; Volorio, Angela; Boulay, Gaylor; Cironi, Luisa; Richman, Alyssa R.; Broye, Liliane C.; Gurski, Joseph M.; Luo, Christina; Mylvaganam, Ravindra; Nguyen, Lan; Mei, Shaolin; Melms, Johannes; Georgescu, Christophe; Cohen, Ofir; Buendia Buendia, Jorge Eduardo; Segerstolpe, Asa; Sud, Malika; Cuoco, Michael; Labes, Danny; Zollinger, Daniel R.; Ortogero, Nicole; Beechem, Joseph M.; Nielsen, G. Petur; Chebib, Ivan; Nguyen-Ngoc, Tu; Montemurro, Michael; Cote, Gregory; Choy, Edwin; Letovanec, Igor; Cherix, Stéphane; Wagle, Nikhil; Sorger, Peter; Haynes, Alex; Mullen, John; Stamenkovic, Ivan; Rivera, Miguel; Kadoch, Cigall; Wucherpfennig, Kai; Rozenblatt-Rosen, Orit; Suvà, Mario L.; Riggi, Nicolò; Regev, Aviv

    ABSTRACTSynovial sarcoma is an aggressive mesenchymal neoplasm, driven by the SS18-SSX fusion, and characterized by immunogenic antigens expression and exceptionally low T cell infiltration levels. To study the cancer-immune interplay in this disease, we profiled 16,872 cells from 12 human synovial sarcoma tumors using single-cell RNA-sequencing (scRNA-Seq). Synovial sarcoma manifests antitumor immunity, high cellular plasticity and a core oncogenic program, which is predictive of low immune levels and poor clinical outcomes. Using genetic and pharmacological perturbations, we demonstrate that the program is controlled by the SS18-SSX driver and repressed by cytokines secreted by macrophages and T cells in the tumor microenvironment. Network modeling predicted that SS18-SSX promotes the program through HDAC1 and CDK6. Indeed, the combination of HDAC and CDK4/6 inhibitors represses the program, induces immunogenic cell states, and selectively targets synovial sarcoma cells. Our study demonstrates that immune evasion, cellular plasticity, and cell cycle are co-regulated and can be co-targeted in synovial sarcoma and potentially in other malignancies.

  • Publication

    Genome-Encoded Cytoplasmic Double-Stranded RNAs, Found in C9ORF72 ALS-FTD Brain, Propagate Neuronal Loss

    (Science Press / AAAS, 2021-07-07) Rodriguez, Steve; Sahin, Asli; Schrank, Benjamin R.; Al Lawati, Hawra; Costantino, Isabel; Benz, Eric; Fard, Darian; Albers, Alefiya; Cao, Luxiang; Gomez, Alexis; Evans, Kyle; Ratti, Elena; Cudkowicz, Merit; Frosch, Matthew; Talkowski, Michael; Sorger, Peter; Hyman, Bradley; Albers, Mark

    Triggers of innate immune signaling in the CNS of amyotrophic lateral sclerosis and frontotemporal degeneration (ALS/FTD) patients remain elusive. We report the presence of cytoplasmic double-stranded RNA (cdsRNA), an established trigger of innate immunity, in ALS-FTD brains carrying C9ORF72 intronic hexanucleotide expansions that included genomically encoded expansions of the G4C2 repeat sequences. Presence of cdsRNA in human brains was coincident with cytoplasmic TAR DNA-binding protein 43 (TDP-43) inclusions, a pathologic hallmark of ALS/FTD. Introducing cdsRNA into cultured human neural cells induced Type I interferon (IFN-I) signaling and death that was rescued by FDA-approved JAK inhibitors. In mice, genomically encoded dsRNAs expressed exclusively in a neuronal class induced IFN-I and death in connected neurons non-cell autonomously. Our findings establish that genomically encoded cdsRNAs trigger sterile, viral-mimetic IFN-I induction, and propagated death within neural circuits and may drive neuroinflammation and neurodegeneration in ALS/FTD patients.

  • Publication

    Biophysical Prediction of Protein-Peptide Interactions and Signaling Networks Using Machine Learning

    (Springer Science and Business Media LLC, 2020-01-06) Cunningham, Joseph; Koytiger, Grigoriy; Sorger, Peter; AlQuraishi, Mohammed

    In mammalian cells, much of signal transduction is mediated by weak protein-protein interactions between globular peptide-binding domains (PBDs) and unstructured peptidic motifs in partner proteins. The number and diversity of these PBDs (over 1,800 are known), low binding affinities, and sensitivity of binding properties to minor sequence variation represent a substantial challenge to experimental and computational analysis of PBD specificity and the networks PBDs create. Here we introduce a bespoke machine learning approach, hierarchical statistical mechanical modelling (HSM), capable of accurately predicting the affinities of PBD-peptide interactions across multiple protein families. By synthesizing biophysical priors within a modern machine learning framework, HSM outperforms existing computational methods and high-throughput experimental assays. HSM models are interpretable in familiar biophysical terms at three spatial scales: the energetics of protein-peptide binding, the multi-dentate organization of protein-protein interactions, and the global architecture of signaling networks.

  • Publication

    Evolution of Delayed Resistance to Immunotherapy in a Melanoma Responder

    (Springer Nature, 2021-05-03) Liu, David; Lin, Jia-Ren; Robitschek, Emily; Kasumova, Gyulnara; Heyde, Alexander; Shi, Alvin; Kraya, Adam; Zhang, Gao; Moll, Tabea; Frederick, Dennie; Chen, Yu-An; Schapiro, Denis; Ho, Li-Lun; Bi, Kevin; Sahu, Avinash; Mei, Shaolin; Miao, Benchun; Sharova, Tatyana; Alvarez-Breckenridge, Christopher; Stocking, Jackson; Kim, Tommy; Fadden, Riley; Lawrence, Donald; Hoang, Mai; Cahill, Daniel; Maleh Mir, Mohsen; Nowak, Martin; Brastianos, Priscilla; Lian, Christine; Ruppin, Eytan; Izar, Benjamin; Herlyn, Meenhard; Van Allen, Eliezer; Nathanson, Katherine; Flaherty, Keith; Sullivan, Ryan; Kellis, Manolis; Sorger, Peter; Boland, Genevieve

    Despite initial responses, most melanoma patients develop resistance to immune checkpoint blockade (ICB). To understand the evolution of resistance, we studied 37 tumor samples over 9 years from a metastatic melanoma patient with exceptional response followed by delayed recurrence and death. Phylogenetic analysis revealed co-evolution of 7 lineages with multiple convergent, but independent resistance-associated alterations (RAAs). All recurrent tumors emerged from a lineage characterized by loss of chromosome 15q, with post-treatment clones acquiring additional genomic driver events. Deconvolution of bulk RNAseq and highly-multiplexed immunofluorescence (t-CyCIF) revealed differences in immune composition amongst different lineages. Imaging revealed a vasculogenic mimicry phenotype in NGFR-High tumor cells with high PD-L1 expression in close proximity to immune cells. Rapid autopsy demonstrated 2 distinct NGFR spatial patterns with high polarity and proximity to immune cells in subcutaneous tumors versus a diffuse spatial pattern in lung tumors, suggesting different roles of this neural crest-like program in different tumor microenvironments. Broadly, this study establishes a high-resolution map of the evolutionary dynamics of resistance to ICB, characterizes a de-differentiated, neural crest tumor population in melanoma immunotherapy resistance, and describes site specific differences in tumor-immune interactions via longitudinal analysis of a melanoma patient with an unusual clinical course.