Opposing immune and genetic forces shape oncogenic programs in synovial sarcoma
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Alyssa R. Richman | B. Haas | A. Regev | A. Haynes | P. Sorger | M. Rivera | Benjamin Izar | O. Cohen | O. Rozenblatt-Rosen | M. Suvà | C. Neftel | Christina C Luo | Nicolò Riggi | R. Mylvaganam | I. Stamenkovic | Gaylor Boulay | G. Nielsen | J. Beechem | Livnat Jerby-Arnon | L. Cironi | N. Wagle | M. Shore | Lan Nguyen | Michael S. Cuoco | A. Volorio | M. McBride | Liliane C. Broye | Cigall Kadoch | I. Chebib | Shaolin Mei | E. Choy | Joseph M Gurski | J. Mullen | I. Letovanec | G. Cote | J. Buendia-Buendia | Hannah R. Weissman | J. M. Gurski | Johannes C. Melms | Christophe Georgescu | D. Labes | D. Zollinger | S. Cherix | B. Izar | M. Suvà | Christina C. Luo | Cyril Neftel | Ofir Cohen | Jorge E. Buendia-Buendia
[1] Gordon B. Mills,et al. High multiplex, digital spatial profiling of proteins and RNA in fixed tissue using genomic detection methods , 2019, bioRxiv.
[2] Evan Z. Macosko,et al. Integrative inference of brain cell similarities and differences from single-cell genomics , 2018, bioRxiv.
[3] Monika S. Kowalczyk,et al. A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade , 2018, Cell.
[4] Paul J. Hoover,et al. Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma , 2018, Cell.
[5] Karoly Szuhai,et al. PRAME and HLA Class I expression patterns make synovial sarcoma a suitable target for PRAME specific T-cell receptor gene therapy , 2018, Oncoimmunology.
[6] J. Luke,et al. T Cell–Inflamed versus Non-T Cell–Inflamed Tumors: A Conceptual Framework for Cancer Immunotherapy Drug Development and Combination Therapy Selection , 2018, Cancer Immunology Research.
[7] Erik Sundström,et al. RNA velocity of single cells , 2018, Nature.
[8] P. A. Futreal,et al. Mutations in the SWI/SNF complex induce a targetable dependence on oxidative phosphorylation in lung cancer , 2018, Nature Medicine.
[9] D. Templeton,et al. Macrophage Migration Inhibitory Factor protects cancer cells from immunogenic cell death and impairs anti-tumor immune responses , 2018, PloS one.
[10] Hannah C. Beird,et al. The SS18-SSX Fusion Oncoprotein Hijacks BAF Complex Targeting and Function to Drive Synovial Sarcoma. , 2018, Cancer cell.
[11] Sandro Santagata,et al. Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes , 2018, eLife.
[12] Tracy T Batchelor,et al. Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq , 2018, Science.
[13] C. Garbutt,et al. Inhibition of cyclin-dependent kinase 4 as a potential therapeutic strategy for treatment of synovial sarcoma , 2018, Cell Death & Disease.
[14] Paul Hoffman,et al. Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.
[15] Darjus F. Tschaharganeh,et al. The SS18-SSX Oncoprotein Hijacks KDM2B-PRC1.1 to Drive Synovial Sarcoma. , 2018, Cancer cell.
[16] Mark W. Ball,et al. Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma , 2018, Science.
[17] Henry W. Long,et al. A major chromatin regulator determines resistance of tumor cells to T cell–mediated killing , 2018, Science.
[18] S. Pollack. The potential of the CMB305 vaccine regimen to target NY-ESO-1 and improve outcomes for synovial sarcoma and myxoid/round cell liposarcoma patients , 2017, Expert review of vaccines.
[19] David J. Arenillas,et al. JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework , 2017, Nucleic acids research.
[20] Steven J. M. Jones,et al. Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas , 2017, Cell.
[21] Shawn M. Gillespie,et al. Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer , 2017, Cell.
[22] Boxi Kang,et al. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing , 2017, Cell.
[23] P. Hwu,et al. Overexpressed PRAME is a potential immunotherapy target in sarcoma subtypes , 2017, Clinical Sarcoma Research.
[24] Shugang Li,et al. Evaluation of expression of cancer stem cell markers and fusion gene in synovial sarcoma: Insights into histogenesis and pathogenesis. , 2017, Oncology reports.
[25] J. Aerts,et al. SCENIC: Single-cell regulatory network inference and clustering , 2017, Nature Methods.
[26] Robin L. Jones,et al. T‐cell infiltration and clonality correlate with programmed cell death protein 1 and programmed death‐ligand 1 expression in patients with soft tissue sarcomas , 2017, Cancer.
[27] Timothy L. Tickle,et al. STAR-Fusion: Fast and Accurate Fusion Transcript Detection from RNA-Seq , 2017, bioRxiv.
[28] K. Harimaya,et al. Cancer-testis antigen expression in synovial sarcoma: NY-ESO-1, PRAME, MAGEA4, and MAGEA1. , 2017, Human pathology.
[29] P. Tamayo,et al. Abstract S1-01: Whole exome and transcriptome sequencing of resistant ER+ metastatic breast cancer , 2017 .
[30] Mariella G. Filbin,et al. Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq , 2017, Science.
[31] Kevin B. Jones,et al. HDAC and Proteasome Inhibitors Synergize to Activate Pro-Apoptotic Factors in Synovial Sarcoma , 2017, PloS one.
[32] Ashley V. Menk,et al. Efficacy of PD-1 Blockade Is Potentiated by Metformin-Induced Reduction of Tumor Hypoxia , 2016, Cancer Immunology Research.
[33] Mariella G. Filbin,et al. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma , 2016, Nature.
[34] Grace X. Y. Zheng,et al. Massively parallel digital transcriptional profiling of single cells , 2016, Nature Communications.
[35] Charles H. Yoon,et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq , 2016, Science.
[36] Anneliese O. Speak,et al. T cell fate and clonality inference from single cell transcriptomes , 2016, Nature Methods.
[37] Joseph L. Herman,et al. Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis , 2015, Nature Methods.
[38] George Michailidis,et al. A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data , 2015, Bioinform..
[39] M. Mann,et al. Functional classification of memory CD8+ T cells by CX3CR1 expression , 2015, Nature Communications.
[40] Fabian J. Theis,et al. Diffusion maps for high-dimensional single-cell analysis of differentiation data , 2015, Bioinform..
[41] Piero Carninci,et al. A draft network of ligand–receptor-mediated multicellular signalling in human , 2015, Nature Communications.
[42] Steven J. M. Jones,et al. Genomic Classification of Cutaneous Melanoma , 2015, Cell.
[43] Jung Eun Shim,et al. TRRUST: a reference database of human transcriptional regulatory interactions , 2015, Scientific Reports.
[44] T. Gajewski,et al. Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity , 2015, Nature.
[45] Trevor J Pugh,et al. Oncotator: Cancer Variant Annotation Tool , 2015, Human mutation.
[46] Marc Ladanyi,et al. Synovial sarcoma: recent discoveries as a roadmap to new avenues for therapy. , 2015, Cancer discovery.
[47] Stein Aerts,et al. iRegulon: From a Gene List to a Gene Regulatory Network Using Large Motif and Track Collections , 2014, PLoS Comput. Biol..
[48] Shawn M. Gillespie,et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma , 2014, Science.
[49] Adam Kiezun,et al. Whole-exome sequencing and clinical interpretation of FFPE tumor samples to guide precision cancer medicine , 2013, Nature Medicine.
[50] Åsa K. Björklund,et al. Full-length RNA-seq from single cells using Smart-seq2 , 2014, Nature Protocols.
[51] Ludo Waltman,et al. A smart local moving algorithm for large-scale modularity-based community detection , 2013, The European Physical Journal B.
[52] G. Crabtree,et al. Reversible Disruption of mSWI/SNF (BAF) Complexes by the SS18-SSX Oncogenic Fusion in Synovial Sarcoma , 2013, Cell.
[53] Olivier Delattre,et al. Chromosome instability accounts for reverse metastatic outcomes of pediatric and adult synovial sarcomas. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[54] A. Sivachenko,et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples , 2013, Nature Biotechnology.
[55] Trevor J Pugh,et al. Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation , 2013, Nucleic acids research.
[56] Andrew McDavid,et al. Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments , 2012, Bioinform..
[57] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..
[58] Klemens Vierlinger,et al. Meta-Analysis of Gene Expression Signatures Defining the Epithelial to Mesenchymal Transition during Cancer Progression , 2012, PloS one.
[59] S. Aerts,et al. i-cisTarget: an integrative genomics method for the prediction of regulatory features and cis-regulatory modules , 2012, Nucleic acids research.
[60] Wendy S. W. Wong,et al. Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs , 2012, Bioinform..
[61] C. Sautès-Fridman,et al. The immune contexture in human tumours: impact on clinical outcome , 2012, Nature Reviews Cancer.
[62] Kevin B. Jones,et al. Deconstruction of the SS18-SSX fusion oncoprotein complex: insights into disease etiology and therapeutics. , 2012, Cancer cell.
[63] M. Acencio,et al. HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions , 2012, BMC Genomics.
[64] D. McNeel,et al. Vaccines Targeting the Cancer-testis Antigen SSX-2 Elicit HLA-A2 Epitope-specific Cytolytic T Cells , 2011, Journal of immunotherapy.
[65] Kristian Cibulskis,et al. ContEst: estimating cross-contamination of human samples in next-generation sequencing data , 2011, Bioinform..
[66] Colin N. Dewey,et al. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome , 2011, BMC Bioinformatics.
[67] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..
[68] M. DePristo,et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.
[69] Dennis C. Friedrich,et al. A scalable, fully automated process for construction of sequence-ready human exome targeted capture libraries , 2011, Genome Biology.
[70] Allan Kuchinsky,et al. GLay: community structure analysis of biological networks , 2010, Bioinform..
[71] Teruhiko Yoshida,et al. Gene Expression Profiling of Synovial Sarcoma: Distinct Signature of Poorly Differentiated Type , 2010, The American journal of surgical pathology.
[72] D. McNeel,et al. The SSX Family of Cancer-Testis Antigens as Target Proteins for Tumor Therapy , 2010, Clinical & developmental immunology.
[73] Kakajan Komurov,et al. Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes , 2010, Proceedings of the National Academy of Sciences.
[74] H. Yoshikawa,et al. Synovial Sarcoma Is a Stem Cell Malignancy , 2010, Stem cells.
[75] Nicolò Riggi,et al. EWS-FLI-1 modulates miRNA145 and SOX2 expression to initiate mesenchymal stem cell reprogramming toward Ewing sarcoma cancer stem cells. , 2010, Genes & development.
[76] Cole Trapnell,et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome , 2009, Genome Biology.
[77] Alberto Mantovani,et al. Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression1 , 2006, The Journal of Immunology.
[78] H. Inoue,et al. Significant growth suppression of synovial sarcomas by the histone deacetylase inhibitor FK228 in vitro and in vivo. , 2005, Cancer letters.
[79] S. Stevanović,et al. CD4+ T Cell Responses to SSX-4 in Melanoma Patients1 , 2005, The Journal of Immunology.
[80] K. Lindblad-Toh,et al. Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals , 2005, Nature.
[81] M. Wigler,et al. Circular binary segmentation for the analysis of array-based DNA copy number data. , 2004, Biostatistics.
[82] M. Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[83] D. Speiser,et al. Tumor-reactive, SSX-2-specific CD8+ T cells are selectively expanded during immune responses to antigen-expressing tumors in melanoma patients. , 2003, Cancer research.
[84] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[85] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[86] M. Carlson,et al. Genes affecting the regulation of SUC2 gene expression by glucose repression in Saccharomyces cerevisiae. , 1984, Genetics.