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The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.
Monks, Anne; Zhao, Yingdong; Hose, Curtis; Hamed, Hossein; Krushkal, Julia; Fang, Jianwen; Sonkin, Dmitriy; Palmisano, Alida; Polley, Eric C; Fogli, Laura K; Konaté, Mariam M; Miller, Sarah B; Simpson, Melanie A; Voth, Andrea Regier; Li, Ming-Chung; Harris, Erik; Wu, Xiaolin; Connelly, John W; Rapisarda, Annamaria; Teicher, Beverly A; Simon, Richard; Doroshow, James H.
Afiliação
  • Monks A; Molecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Zhao Y; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Hose C; Molecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Hamed H; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Krushkal J; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Fang J; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Sonkin D; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Palmisano A; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Polley EC; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
  • Fogli LK; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
  • Konaté MM; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
  • Miller SB; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
  • Simpson MA; Applied/Developmental Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Voth AR; Applied/Developmental Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Li MC; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Harris E; Molecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Wu X; Cancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Connelly JW; Molecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Rapisarda A; Molecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
  • Teicher BA; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
  • Simon R; Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
  • Doroshow JH; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland. doroshoj@mail.nih.gov.
Cancer Res ; 78(24): 6807-6817, 2018 12 15.
Article em En | MEDLINE | ID: mdl-30355619
ABSTRACT
The intracellular effects and overall efficacies of anticancer therapies can vary significantly by tumor type. To identify patterns of drug-induced gene modulation that occur in different cancer cell types, we measured gene-expression changes across the NCI-60 cell line panel after exposure to 15 anticancer agents. The results were integrated into a combined database and set of interactive analysis tools, designated the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), that allows exploration of gene-expression modulation by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across agents and cell types and uncovered gene-expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses and identifying candidate biomarkers of drug activity. The NCI TPW, publicly available at https//tpwb.nci.nih.gov, provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to commonly used anticancer drugs.

SIGNIFICANCE:

The NCI Transcriptional Pharmacodynamics Workbench represents the most extensive compilation to date of directly measured longitudinal transcriptional responses to anticancer agents across a thoroughly characterized ensemble of cancer cell lines.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ensaios de Seleção de Medicamentos Antitumorais / Perfilação da Expressão Gênica / National Cancer Institute (U.S.) / Pesquisa Translacional Biomédica Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Cancer Res Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ensaios de Seleção de Medicamentos Antitumorais / Perfilação da Expressão Gênica / National Cancer Institute (U.S.) / Pesquisa Translacional Biomédica Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Cancer Res Ano de publicação: 2018 Tipo de documento: Article