Opposing immune and genetic mechanisms shape oncogenic programs in synovial sarcoma.


Journal

Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015

Informations de publication

Date de publication:
02 2021
Historique:
received: 05 10 2019
accepted: 14 12 2020
pubmed: 27 1 2021
medline: 27 2 2021
entrez: 26 1 2021
Statut: ppublish

Résumé

Synovial sarcoma (SyS) is an aggressive neoplasm driven by the SS18-SSX fusion, and is characterized by low T cell infiltration. Here, we studied the cancer-immune interplay in SyS using an integrative approach that combines single-cell RNA sequencing (scRNA-seq), spatial profiling and genetic and pharmacological perturbations. scRNA-seq of 16,872 cells from 12 human SyS tumors uncovered a malignant subpopulation that marks immune-deprived niches in situ and is predictive of poor clinical outcomes in two independent cohorts. Functional analyses revealed that this malignant cell state is controlled by the SS18-SSX fusion, is repressed by cytokines secreted by macrophages and T cells, and can be synergistically targeted with a combination of HDAC and CDK4/CDK6 inhibitors. This drug combination enhanced malignant-cell immunogenicity in SyS models, leading to induced T cell reactivity and T cell-mediated killing. Our study provides a blueprint for investigating heterogeneity in fusion-driven malignancies and demonstrates an interplay between immune evasion and oncogenic processes that can be co-targeted in SyS and potentially in other malignancies.

Identifiants

pubmed: 33495604
doi: 10.1038/s41591-020-01212-6
pii: 10.1038/s41591-020-01212-6
pmc: PMC8817899
mid: NIHMS1727124
doi:

Substances chimiques

Histone Deacetylase Inhibitors 0
Oncogene Proteins, Fusion 0
Cyclin-Dependent Kinase 4 EC 2.7.11.22
Histone Deacetylases EC 3.5.1.98

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

289-300

Subventions

Organisme : NCI NIH HHS
ID : U54 CA225088
Pays : United States
Organisme : Harvard Medical School
ID : CA225088
Organisme : NCI NIH HHS
ID : P30 CA014051
Pays : United States
Organisme : Burroughs Wellcome Fund (BWF)
ID : K08CA222663
Organisme : NCI NIH HHS
ID : R33 CA202820
Pays : United States
Organisme : Burroughs Wellcome Fund (BWF)
ID : 1019508
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : PP00P3-157468/1
Organisme : NCI NIH HHS
ID : R50 CA211461
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA180922
Pays : United States
Organisme : NCI NIH HHS
ID : R37 CA245523
Pays : United States
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : PP00P3_183724
Organisme : NCI NIH HHS
ID : K08 CA222663
Pays : United States
Organisme : Broad Institute
ID : R37CA245523
Organisme : NCI NIH HHS
ID : L30 CA231679
Pays : United States

Commentaires et corrections

Type : CommentIn

Références

Trujillo, J. A., Sweis, R. F., Bao, R. & Luke, J. J. T cell–inflamed versus non-T cell–inflamed tumors: a conceptual framework for cancer immunotherapy drug development and combination therapy selection. Cancer Immunol. Res. 6, 990 (2018).
pubmed: 30181337 pmcid: 6145135 doi: 10.1158/2326-6066.CIR-18-0277
Fridman, W. H., Pagès, F., Sautès-Fridman, C. & Galon, J. The immune contexture in human tumours: impact on clinical outcome. Nat. Rev. Cancer 12, 298–306 (2012).
pubmed: 22419253 doi: 10.1038/nrc3245
Pollack, S. M. 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. Cancer 123, 3291–3304 (2017).
pubmed: 28463396 doi: 10.1002/cncr.30726
Nielsen, T. O., Poulin, N. M. & Ladanyi, M. Synovial sarcoma: recent discoveries as a roadmap to new avenues for therapy. Cancer Discov. 5, 124–134 (2015).
pubmed: 25614489 pmcid: 4320664 doi: 10.1158/2159-8290.CD-14-1246
Pollack, S. M. The potential of the CMB305 vaccine regimen to target NY-ESO-1 and improve outcomes for synovial sarcoma and myxoid/round cell liposarcoma patients. Expert Rev. Vaccines 17, 107–114 (2018).
pubmed: 29280411
Iura, K. et al. Cancer-testis antigen expression in synovial sarcoma: NY-ESO-1, PRAME, MAGEA4, and MAGEA1. Hum. Pathol. 61, 130–139 (2017).
pubmed: 27993576 doi: 10.1016/j.humpath.2016.12.006
Zhou, Y. et al. Evaluation of expression of cancer stem cell markers and fusion gene in synovial sarcoma: insights into histogenesis and pathogenesis. Oncol. Rep. 37, 3351–3360 (2017).
pubmed: 28498445 doi: 10.3892/or.2017.5617
Naka, N. et al. Synovial sarcoma is a stem cell malignancy. Stem Cells Dayt. Ohio 28, 1119–1131 (2010).
doi: 10.1002/stem.452
Kadoch, C. & Crabtree, G. R. Reversible disruption of mSWI/SNF (BAF) complexes by the SS18–SSX oncogenic fusion in synovial sarcoma. Cell 153, 71–85 (2013).
pubmed: 23540691 pmcid: 3655887 doi: 10.1016/j.cell.2013.02.036
Pan, D. et al. A major chromatin regulator determines resistance of tumor cells to T cell-mediated killing. Science 359, 770–775 (2018).
pubmed: 29301958 pmcid: 5953516 doi: 10.1126/science.aao1710
Miao, D. et al. Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma. Science 359, 801–806 (2018).
pubmed: 29301960 pmcid: 6035749 doi: 10.1126/science.aan5951
Ayyoub, M. et al. CD4
pubmed: 15814740 doi: 10.4049/jimmunol.174.8.5092
Ayyoub, M. et al. Tumor-reactive, SSX-2-specific CD8
pubmed: 14500401
Smith, H. A. & McNeel, D. G. The SSX family of cancer-testis antigens as target proteins for tumor therapy. Clin. Dev. Immunol. 2010, 18 (2010).
doi: 10.1155/2010/150591
Smith, H. A. & McNeel, D. G. Vaccines targeting the cancer-testis antigen SSX-2 elicit HLA-A2 epitope-specific cytolytic T cells. J. Immunother. 34, 569–580 (2011).
pubmed: 21904219 pmcid: 3175298 doi: 10.1097/CJI.0b013e31822b5b1d
McBride, M. J. et al. The SS18–SSX fusion oncoprotein hijacks baf complex targeting and function to drive synovial sarcoma. Cancer Cell 33, 1128–1141 (2018).
Banito, A. et al. The SS18–SSX oncoprotein hijacks KDM2B-PRC1.1 to drive synovial sarcoma. Cancer Cell 33, 527–541.e8 (2018).
pubmed: 29502955 pmcid: 5881394 doi: 10.1016/j.ccell.2018.01.018
Su, L. et al. Deconstruction of the SS18–SSX fusion oncoprotein complex: insights into disease etiology and therapeutics. Cancer Cell 21, 333–347 (2012).
pubmed: 22439931 pmcid: 3734954 doi: 10.1016/j.ccr.2012.01.010
Nakayama, R. et al. Gene expression profiling of synovial sarcoma: distinct signature of poorly differentiated type. Am. J. Surg. Pathol. 34, 1599–1607 (2010).
pubmed: 20975339 doi: 10.1097/PAS.0b013e3181f7ce2c
Lagarde, P. et al. Chromosome instability accounts for reverse metastatic outcomes of pediatric and adult synovial sarcomas. J. Am. Soc. Clin. Oncol. 31, 608–615 (2013).
doi: 10.1200/JCO.2012.46.0147
Comprehensive and integrated genomic characterization of adult soft tissue sarcomas. Cell 171, 950–965 (2017).
Picelli, S. et al. Full-length RNA-seq from single cells using Smart-seq2. Nat. Protoc. 9, 171–181 (2014).
pubmed: 24385147 doi: 10.1038/nprot.2014.006
Zheng, G. X. Y. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).
pubmed: 28091601 pmcid: 5241818 doi: 10.1038/ncomms14049
Haas, B. et al. STAR-Fusion: fast and accurate fusion transcript detection from RNA-seq. Preprint at bioRxiv https://doi.org/10.1101/120295 (2017).
Patel, A. P. et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science 344, 1396–1401 (2014).
pubmed: 24925914 pmcid: 4123637 doi: 10.1126/science.1254257
Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 352, 189–196 (2016).
pubmed: 27124452 pmcid: 4944528 doi: 10.1126/science.aad0501
Puram, S. V. et al. Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer. Cell 171, 1611–1624(2017).
pubmed: 29198524 pmcid: 5878932 doi: 10.1016/j.cell.2017.10.044
Venteicher, A. S. et al. Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. Science 355, eaai8478 (2017).
pubmed: 28360267 pmcid: 5519096 doi: 10.1126/science.aai8478
Tirosh, I. et al. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma. Nature 539, 309–313 (2016).
pubmed: 27806376 pmcid: 5465819 doi: 10.1038/nature20123
Jerby-Arnon, L. et al. A cancer cell program promotes T cell exclusion and resistance to checkpoint blockade. Cell 175, 984–997.e24 (2018).
pubmed: 30388455 pmcid: 6410377 doi: 10.1016/j.cell.2018.09.006
Taube, J. H. et al. Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes. Proc. Natl Acad. Sci. USA 107, 15449–15454 (2010).
pubmed: 20713713 pmcid: 2932589 doi: 10.1073/pnas.1004900107
Gröger, C. J., Grubinger, M., Waldhör, T., Vierlinger, K. & Mikulits, W. Meta-analysis of gene expression signatures defining the epithelial to mesenchymal transition during cancer progression. PLoS ONE 7, e51136 (2012).
pubmed: 23251436 pmcid: 3519484 doi: 10.1371/journal.pone.0051136
Fan, J. et al. Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis. Nat. Methods 13, 241–244 (2016).
pubmed: 26780092 pmcid: 4772672 doi: 10.1038/nmeth.3734
Newman, M. E. J. & Girvan, M. Finding and evaluating community structure in networks. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 69, 026113 (2004).
pubmed: 14995526 doi: 10.1103/PhysRevE.69.026113
Welch, J. D. et al. Single-cell multi-omic integration compares and contrasts features of brain cell identity. Cell 177, 1873–1887.e17 (2019).
pubmed: 31178122 pmcid: 6716797 doi: 10.1016/j.cell.2019.05.006
Yang, Z. & Michailidis, G. A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data. Bioinforma. Oxf. Engl. 32, 1–8 (2016).
Przybyl, J. et al. Metastatic potential is determined early in synovial sarcoma development and reflected by tumor molecular features. Int. J. Biochem. Cell Biol. 53, 505–513 (2014).
pubmed: 24842110 doi: 10.1016/j.biocel.2014.05.006
Stubbington, M. J. T. et al. T cell fate and clonality inference from single-cell transcriptomes. Nat. Methods 13, 329–332 (2016).
pubmed: 26950746 pmcid: 4835021 doi: 10.1038/nmeth.3800
Sade-Feldman, M. et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell 175, 998–1013.e20 (2018).
pubmed: 30388456 pmcid: 6641984 doi: 10.1016/j.cell.2018.10.038
Zheng, C. et al. Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing. Cell 169, 1342–1356 (2017).
pubmed: 28622514 doi: 10.1016/j.cell.2017.05.035
Böttcher, J. P. et al. Functional classification of memory CD8
pubmed: 26404698 doi: 10.1038/ncomms9306
Martinez, F. O., Gordon, S., Locati, M. & Mantovani, A. Transcriptional profiling of the human monocyte-to-macrophage differentiation and polarization: new molecules and patterns of gene expression. J. Immunol. 177, 7303–7311 (2006).
pubmed: 17082649 doi: 10.4049/jimmunol.177.10.7303
Merritt, C. R. et al. Multiplex digital spatial profiling of proteins and RNA in fixed tissue. Nat. Biotechnol. 38, 586–599 (2020).
pubmed: 32393914 doi: 10.1038/s41587-020-0472-9
Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl Acad. Sci. USA 102, 15545–15550 (2005).
pubmed: 16199517 pmcid: 1239896 doi: 10.1073/pnas.0506580102
Lin, J.-R. et al. Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes. eLife 7, e31657 (2018).
pubmed: 29993362 pmcid: 6075866 doi: 10.7554/eLife.31657
Bovolenta, L. A., Acencio, M. L. & Lemke, N. HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions. BMC Genomics 13, 405 (2012).
pubmed: 22900683 pmcid: 3472291 doi: 10.1186/1471-2164-13-405
Han, H. et al. TRRUST: a reference database of human transcriptional regulatory interactions. Sci. Rep. 5, 11432 (2015).
pubmed: 26066708 pmcid: 4464350 doi: 10.1038/srep11432
Aibar, S. et al. SCENIC: single-cell regulatory network inference and clustering. Nat. Methods 14, 1083 (2017).
pubmed: 28991892 pmcid: 5937676 doi: 10.1038/nmeth.4463
Khan, A. et al. JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework. Nucleic Acids Res. 46, D260–D266 (2018).
pubmed: 29140473 doi: 10.1093/nar/gkx1126
Liberzon, A. et al. Molecular signatures database (MSigDB) 3.0. Bioinformatics 27, 1739–1740 (2011).
pubmed: 21546393 pmcid: 3106198 doi: 10.1093/bioinformatics/btr260
Brin, S. & Page, L. in Seventh International World-Wide Web Conference (1998).
Herrmann, C., Van de Sande, B., Potier, D. & Aerts, S. i-cisTarget: an integrative genomics method for the prediction of regulatory features and cis-regulatory modules. Nucleic Acids Res. 40, e114 (2012).
pubmed: 22718975 pmcid: 3424583 doi: 10.1093/nar/gks543
Janky, R. et al. iRegulon: from a gene list to a gene regulatory network using large motif and track collections. PLoS Comput. Biol. 10, e1003731 (2014).
pubmed: 25058159 pmcid: 4109854 doi: 10.1371/journal.pcbi.1003731
Balogh, K. N., Templeton, D. J. & Cross, J. V. Macrophage migration inhibitory factor protects cancer cells from immunogenic cell death and impairs anti-tumor immune responses. PLoS OBE 13, e0197702 (2018).
doi: 10.1371/journal.pone.0197702
Jones, K. B. et al. Of mice and men: opportunities to use genetically engineered mouse models of synovial sarcoma for preclinical cancer therapeutic evaluation. Cancer Control 18, 196–203 (2011).
pubmed: 21666582 doi: 10.1177/107327481101800307
Martín-Broto, J., Moura, D. S. & Van Tine, B. A. Facts and hopes in immunotherapy of soft-tissue sarcomas. Clin. Cancer Res. 26, 5801 (2020).
pubmed: 32601077 pmcid: 7669707 doi: 10.1158/1078-0432.CCR-19-3335
Robbins, P. F. et al. Tumor regression in patients with metastatic synovial cell sarcoma and melanoma using genetically engineered lymphocytes reactive with NY-ESO-1. J. Clin. Oncol. 29, 917–924 (2011).
pubmed: 21282551 pmcid: 3068063 doi: 10.1200/JCO.2010.32.2537
Baird, K. et al. Gene expression profiling of human sarcomas: insights into sarcoma biology. Cancer Res. 65, 9226–9235 (2005).
pubmed: 16230383 doi: 10.1158/0008-5472.CAN-05-1699
Fisher, S. et al. A scalable, fully automated process for construction of sequence-ready human exome targeted capture libraries. Genome Biol. 12, R1 (2011).
pubmed: 21205303 pmcid: 3091298 doi: 10.1186/gb-2011-12-1-r1
Merritt, C. R. et al. Multiplex digital spatial profiling of proteins and RNA in fixed tissue. Nat. Biotechnol. 38, 586–599 (2020).
pubmed: 32393914 doi: 10.1038/s41587-020-0472-9
Langmead, B., Trapnell, C., Pop, M. & Salzberg, S. L. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 10, R25 (2009).
pubmed: 19261174 pmcid: 2690996 doi: 10.1186/gb-2009-10-3-r25
Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-seq data with or without a reference genome. BMC Bioinf. 12, 323 (2011).
doi: 10.1186/1471-2105-12-323
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinforma. Oxf. Engl. 29, 15–21 (2013).
doi: 10.1093/bioinformatics/bts635
Filbin, M. G. et al. Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell. Science 360, 331–335 (2018).
pubmed: 29674595 pmcid: 5949869 doi: 10.1126/science.aao4750
Cibulskis, K. et al. ContEst: estimating cross-contamination of human samples in next-generation sequencing data. Bioinforma. Oxf. Engl. 27, 2601–2602 (2011).
doi: 10.1093/bioinformatics/btr446
Cibulskis, K. et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat. Biotechnol. 31, 213–219 (2013).
pubmed: 23396013 pmcid: 3833702 doi: 10.1038/nbt.2514
Saunders, C. T. et al. Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs. Bioinforma. Oxf. Engl. 28, 1811–1817 (2012).
doi: 10.1093/bioinformatics/bts271
Costello, M. et al. Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation. Nucleic Acids Res. 41, e67 (2013).
pubmed: 23303777 pmcid: 3616734 doi: 10.1093/nar/gks1443
Van Allen, E. M. et al. Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumor samples to guide precision cancer medicine. Nat. Med. 20, 682–688 (2014).
pubmed: 24836576 pmcid: 4048335 doi: 10.1038/nm.3559
Cohen, O. et al. Abstract S1-01: whole exome and transcriptome sequencing of resistant ER
doi: 10.1158/1538-7445.SABCS16-S1-01
Ramos, A. H. et al. Oncotator: cancer variant annotation tool. Hum. Mutat. 36, E2423–E2429 (2015).
pubmed: 25703262 pmcid: 7350419 doi: 10.1002/humu.22771
Olshen, A. B., Venkatraman, E. S., Lucito, R. & Wigler, M. Circular binary segmentation for the analysis of array-based DNA copy number data. Biostat. Oxf. Engl. 5, 557–572 (2004).
DePristo, M. A. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 43, 491 (2011).
pubmed: 21478889 pmcid: 3083463 doi: 10.1038/ng.806
Waltman, L. & Jan van Eck, N. A smart local moving algorithm for large-scale modularity-based community detection. Eur. Phys. J. B 86, 471 (2013).
McDavid, A. et al. Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments. Bioinforma. Oxf. Engl. 29, 461–467 (2013).
doi: 10.1093/bioinformatics/bts714
Haghverdi, L., Buettner, F. & Theis, F. J. Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinforma. Oxf. Engl. 31, 2989–2998 (2015).
doi: 10.1093/bioinformatics/btv325
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Methodol. 57, 289–300 (1995).
Ramilowski, J. A. et al. A draft network of ligand–receptor-mediated multicellular signalling in human. Nat. Commun. 6, 7866 (2015).
pubmed: 26198319 doi: 10.1038/ncomms8866
Robbins, P. F. et al. Single and dual amino acid substitutions in TCR CDRs can enhance antigen-specific T cell functions. J. Immunol. 180, 6116–6131 (2008).
pubmed: 18424733 doi: 10.4049/jimmunol.180.9.6116
Eyquem, J. et al. Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection. Nature 543, 113–117 (2017).
pubmed: 28225754 pmcid: 5558614 doi: 10.1038/nature21405
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411 (2018).
pubmed: 29608179 pmcid: 6700744 doi: 10.1038/nbt.4096

Auteurs

Livnat Jerby-Arnon (L)

Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Chan Zuckerberg Biohub, San Francisco, CA, USA.
Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Cyril Neftel (C)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Institute of Pathology, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

Marni E Shore (ME)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Hannah R Weisman (HR)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Nathan D Mathewson (ND)

Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA.
Department of Immunology, Harvard Medical School, Boston, MA, USA.
Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.

Matthew J McBride (MJ)

Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.

Brian Haas (B)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Benjamin Izar (B)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Columbia Center for Translational Immunology, New York, NY, USA.
Columbia University Medical Center, Division of Hematology and Oncology, New York, NY, USA.

Angela Volorio (A)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Gaylor Boulay (G)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Luisa Cironi (L)

Institute of Pathology, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

Alyssa R Richman (AR)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Liliane C Broye (LC)

Institute of Pathology, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

Joseph M Gurski (JM)

Massachusetts General Hospital Cancer Center, Boston, MA, USA.

Christina C Luo (CC)

Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Ravindra Mylvaganam (R)

Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Lan Nguyen (L)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Shaolin Mei (S)

Laboratory for Systems Pharmacology, Harvard Medical School, Boston, MA, USA.

Johannes C Melms (JC)

Columbia Center for Translational Immunology, New York, NY, USA.
Columbia University Medical Center, Division of Hematology and Oncology, New York, NY, USA.

Christophe Georgescu (C)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Ofir Cohen (O)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.

Jorge E Buendia-Buendia (JE)

Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.

Asa Segerstolpe (A)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Malika Sud (M)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Michael S Cuoco (MS)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.

Danny Labes (D)

Flow Cytometry Facility, Department of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.

Simon Gritsch (S)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Daniel R Zollinger (DR)

NanoString Technologies, Seattle, WA, USA.

Nicole Ortogero (N)

NanoString Technologies, Seattle, WA, USA.

Joseph M Beechem (JM)

NanoString Technologies, Seattle, WA, USA.

G Petur Nielsen (G)

Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Ivan Chebib (I)

Massachusetts General Hospital Cancer Center, Boston, MA, USA.

Tu Nguyen-Ngoc (T)

Department of Oncology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland.

Michael Montemurro (M)

Department of Oncology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland.

Gregory M Cote (GM)

Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA, USA.

Edwin Choy (E)

Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA, USA.

Igor Letovanec (I)

Institute of Pathology, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

Stéphane Cherix (S)

Department of Orthopedics, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

Nikhil Wagle (N)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.

Peter K Sorger (PK)

Laboratory for Systems Pharmacology, Harvard Medical School, Boston, MA, USA.

Alex B Haynes (AB)

Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.

John T Mullen (JT)

Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.

Ivan Stamenkovic (I)

Institute of Pathology, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

Miguel N Rivera (MN)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Cigall Kadoch (C)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.

Kai W Wucherpfennig (KW)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA.
Department of Immunology, Harvard Medical School, Boston, MA, USA.

Orit Rozenblatt-Rosen (O)

Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Genentech, South San Francisco, CA, USA.

Mario L Suvà (ML)

Broad Institute of Harvard and MIT, Cambridge, MA, USA. Suva.Mario@mgh.harvard.edu.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA. Suva.Mario@mgh.harvard.edu.
Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. Suva.Mario@mgh.harvard.edu.

Nicolò Riggi (N)

Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. nicolo.riggi@chuv.ch.
Institute of Pathology, Faculty of Biology and Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. nicolo.riggi@chuv.ch.

Aviv Regev (A)

Broad Institute of Harvard and MIT, Cambridge, MA, USA. aregev@broadinstitute.org.
Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA. aregev@broadinstitute.org.
Howard Hughes Medical Institute, Koch Institute for Integrative Cancer Research, Department of Biology, MIT, Cambridge, MA, USA. aregev@broadinstitute.org.
Genentech, South San Francisco, CA, USA. aregev@broadinstitute.org.

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