Your browser doesn't support javascript.
loading
The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution.
Rozenblatt-Rosen, Orit; Regev, Aviv; Oberdoerffer, Philipp; Nawy, Tal; Hupalowska, Anna; Rood, Jennifer E; Ashenberg, Orr; Cerami, Ethan; Coffey, Robert J; Demir, Emek; Ding, Li; Esplin, Edward D; Ford, James M; Goecks, Jeremy; Ghosh, Sharmistha; Gray, Joe W; Guinney, Justin; Hanlon, Sean E; Hughes, Shannon K; Hwang, E Shelley; Iacobuzio-Donahue, Christine A; Jané-Valbuena, Judit; Johnson, Bruce E; Lau, Ken S; Lively, Tracy; Mazzilli, Sarah A; Pe'er, Dana; Santagata, Sandro; Shalek, Alex K; Schapiro, Denis; Snyder, Michael P; Sorger, Peter K; Spira, Avrum E; Srivastava, Sudhir; Tan, Kai; West, Robert B; Williams, Elizabeth H.
Afiliação
  • Rozenblatt-Rosen O; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Regev A; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA; Koch Institute for Integrative Cancer Research, Department of Biology, MIT, Cambridge, MA 02139, USA. Electronic address: aregev@broadinstitute.org.
  • Oberdoerffer P; Division of Cancer Biology, National Cancer Institute, NIH, Rockville, MD 20850, USA.
  • Nawy T; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Hupalowska A; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Rood JE; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Ashenberg O; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Cerami E; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Coffey RJ; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
  • Demir E; Department of Molecular and Medical Genetics, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
  • Ding L; Department of Medicine, McDonnell Genome Institute, and Siteman Cancer Center, Washington University in St. Louis, Saint Louis, MO 63108, USA.
  • Esplin ED; Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA.
  • Ford JM; Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Oncology Division, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Goecks J; Computational Biology Program, Oregon Health and Science University, OR 97201, USA.
  • Ghosh S; Division of Cancer Prevention, National Cancer Institute, NIH, Rockville, MD 20850, USA.
  • Gray JW; Center for Spatial Systems Biomedicine, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97201, USA.
  • Guinney J; Sage Bionetworks, Seattle, WA 98121, USA; Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA.
  • Hanlon SE; Center for Strategic Scientific Initiatives, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
  • Hughes SK; Division of Cancer Biology, National Cancer Institute, NIH, Rockville, MD 20850, USA.
  • Hwang ES; Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA; Women's Cancer Program, Duke Cancer Institute, Duke University, Durham, NC 27710, USA.
  • Iacobuzio-Donahue CA; David M. Rubenstein Center for Pancreatic Cancer Research, Human Oncology and Pathogenesis Program, and Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Jané-Valbuena J; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Johnson BE; Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Avenue, Boston, MA 02215, USA.
  • Lau KS; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
  • Lively T; Division of Cancer Treatment and Diagnosis, National Cancer Institute, NIH, Rockville, MD 20850, USA.
  • Mazzilli SA; Department of Medicine, Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA.
  • Pe'er D; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Santagata S; Ludwig Center for Cancer Research and Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Shalek AK; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Institute for Medical Engineering and Science, Department of Chemistry, and Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA 02139, USA; Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Camb
  • Schapiro D; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Ludwig Center for Cancer Research and Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
  • Snyder MP; Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA.
  • Sorger PK; Ludwig Center for Cancer Research and Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
  • Spira AE; Department of Medicine, Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA; Johnson & Johnson, Cambridge, MA 02142, USA.
  • Srivastava S; Division of Cancer Prevention, National Cancer Institute, NIH, Rockville, MD 20850, USA.
  • Tan K; Division of Oncology and Center for Childhood Cancer Research, 4004 CTRB, Children's Hospital of Philadelphia, 3501 Civic Center Boulevard, Philadelphia, PA 19104, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • West RB; Department of Pathology, Stanford School of Medicine, Stanford, CA 94305, USA.
  • Williams EH; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Present address: Foundation Medicine, Cambridge, MA 02141, USA.
Cell ; 181(2): 236-249, 2020 04 16.
Article em En | MEDLINE | ID: mdl-32302568
ABSTRACT
Crucial transitions in cancer-including tumor initiation, local expansion, metastasis, and therapeutic resistance-involve complex interactions between cells within the dynamic tumor ecosystem. Transformative single-cell genomics technologies and spatial multiplex in situ methods now provide an opportunity to interrogate this complexity at unprecedented resolution. The Human Tumor Atlas Network (HTAN), part of the National Cancer Institute (NCI) Cancer Moonshot Initiative, will establish a clinical, experimental, computational, and organizational framework to generate informative and accessible three-dimensional atlases of cancer transitions for a diverse set of tumor types. This effort complements both ongoing efforts to map healthy organs and previous large-scale cancer genomics approaches focused on bulk sequencing at a single point in time. Generating single-cell, multiparametric, longitudinal atlases and integrating them with clinical outcomes should help identify novel predictive biomarkers and features as well as therapeutically relevant cell types, cell states, and cellular interactions across transitions. The resulting tumor atlases should have a profound impact on our understanding of cancer biology and have the potential to improve cancer detection, prevention, and therapeutic discovery for better precision-medicine treatments of cancer patients and those at risk for cancer.
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transformação Celular Neoplásica / Microambiente Tumoral / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transformação Celular Neoplásica / Microambiente Tumoral / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article