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PDXNet portal: patient-derived Xenograft model, data, workflow and tool discovery.
Koc, Soner; Lloyd, Michael W; Grover, Jeffrey W; Xiao, Nan; Seepo, Sara; Subramanian, Sai Lakshmi; Ray, Manisha; Frech, Christian; DiGiovanna, John; Webster, Phillip; Neuhauser, Steven; Srivastava, Anuj; Woo, Xing Yi; Sanderson, Brian J; White, Brian; Lott, Paul; Dobrolecki, Lacey E; Dowst, Heidi; Evrard, Yvonne A; Wallace, Tiffany A; Moscow, Jeffrey A; Doroshow, James H; Mitsiades, Nicholas; Kaochar, Salma; Pan, Chong-Xian; Chen, Moon S; Carvajal-Carmona, Luis; Welm, Alana L; Welm, Bryan E; Lewis, Michael T; Govindan, Ramaswamy; Ding, Li; Li, Shunqiang; Herlyn, Meenhard; Davies, Michael A; Roth, Jack; Meric-Bernstam, Funda; Robinson, Peter N; Bult, Carol J; Davis-Dusenbery, Brandi; Dean, Dennis A; Chuang, Jeffrey H.
Afiliação
  • Koc S; Seven Bridges, Charlestown, MA 02129, USA.
  • Lloyd MW; The Jackson Laboratory, Bar Harbor, ME 04609, USA.
  • Grover JW; Seven Bridges, Charlestown, MA 02129, USA.
  • Xiao N; Seven Bridges, Charlestown, MA 02129, USA.
  • Seepo S; Seven Bridges, Charlestown, MA 02129, USA.
  • Subramanian SL; Seven Bridges, Charlestown, MA 02129, USA.
  • Ray M; Seven Bridges, Charlestown, MA 02129, USA.
  • Frech C; Seven Bridges, Charlestown, MA 02129, USA.
  • DiGiovanna J; Seven Bridges, Charlestown, MA 02129, USA.
  • Webster P; Seven Bridges, Charlestown, MA 02129, USA.
  • Neuhauser S; The Jackson Laboratory, Bar Harbor, ME 04609, USA.
  • Srivastava A; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
  • Woo XY; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
  • Sanderson BJ; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
  • White B; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
  • Lott P; University of California - Davis, Davis, CA 95616, USA.
  • Dobrolecki LE; Baylor College of Medicine, Houston, TX 77030, USA.
  • Dowst H; Baylor College of Medicine, Houston, TX 77030, USA.
  • Evrard YA; Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA.
  • Wallace TA; Center to Reduce Health Disparities, National Cancer Institute, Bethesda, MD 20814, USA.
  • Moscow JA; Investigational Drug Branch, National Cancer Institute, Bethesda, MD 20814, USA.
  • Doroshow JH; Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20814, USA.
  • Mitsiades N; Baylor College of Medicine, Houston, TX 77030, USA.
  • Kaochar S; Baylor College of Medicine, Houston, TX 77030, USA.
  • Pan CX; University of California - Davis, Davis, CA 95616, USA.
  • Chen MS; University of California - Davis, Davis, CA 95616, USA.
  • Carvajal-Carmona L; University of California - Davis, Davis, CA 95616, USA.
  • Welm AL; Huntsman Cancer Institute, Salt Lake City, UT 84112, USA.
  • Welm BE; Huntsman Cancer Institute, Salt Lake City, UT 84112, USA.
  • Lewis MT; Baylor College of Medicine, Houston, TX 77030, USA.
  • Govindan R; Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ding L; Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Li S; Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Herlyn M; The Wistar Institute, Philadelphia, PA 19104, USA.
  • Davies MA; The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Roth J; The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Meric-Bernstam F; The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Robinson PN; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
  • Bult CJ; The Jackson Laboratory, Bar Harbor, ME 04609, USA.
  • Davis-Dusenbery B; Seven Bridges, Charlestown, MA 02129, USA.
  • Dean DA; Seven Bridges, Charlestown, MA 02129, USA.
  • Chuang JH; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
NAR Cancer ; 4(2): zcac014, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35475145
We created the PDX Network (PDXNet) portal (https://portal.pdxnetwork.org/) to centralize access to the National Cancer Institute-funded PDXNet consortium resources, to facilitate collaboration among researchers and to make these data easily available for research. The portal includes sections for resources, analysis results, metrics for PDXNet activities, data processing protocols and training materials for processing PDX data. Currently, the portal contains PDXNet model information and data resources from 334 new models across 33 cancer types. Tissue samples of these models were deposited in the NCI's Patient-Derived Model Repository (PDMR) for public access. These models have 2134 associated sequencing files from 873 samples across 308 patients, which are hosted on the Cancer Genomics Cloud powered by Seven Bridges and the NCI Cancer Data Service for long-term storage and access with dbGaP permissions. The portal includes results from freely available, robust, validated and standardized analysis workflows on PDXNet sequencing files and PDMR data (3857 samples from 629 patients across 85 disease types). The PDXNet portal is continuously updated with new data and is of significant utility to the cancer research community as it provides a centralized location for PDXNet resources, which support multi-agent treatment studies, determination of sensitivity and resistance mechanisms, and preclinical trials.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2022 Tipo de documento: Article