Evidence map›Paper›PMID 30355619›Full record

ArticleCancer research2018

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Anne Monks, Yingdong Zhao, Curtis Hose, Hossein Hamed, Julia Krushkal, Jianwen Fang, Dmitriy Sonkin, Alida Palmisano, Eric C Polley, Laura K Fogli and 12 more

Abstract read
In one paragraph

Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 72 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 3 institutions in 1 country.

Anne MonksMolecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Yingdong ZhaoBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
Curtis HoseMolecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Hossein HamedBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
Julia KrushkalBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
Jianwen FangBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
Dmitriy SonkinBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.ORCID 0000-0002-1649-0652
Alida PalmisanoBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.ORCID 0000-0002-1859-3719
Eric C PolleyDivision of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
Laura K FogliDivision of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
Mariam M KonatéDivision of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
Sarah B MillerDivision of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
Melanie A SimpsonApplied/Developmental Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Andrea Regier VothApplied/Developmental Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Ming-Chung LiBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
Erik HarrisMolecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Xiaolin WuCancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
John W ConnellyMolecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Annamaria RapisardaMolecular Pharmacology Group, Frederick National Laboratory for Cancer Research sponsored by the NCI, Frederick, Maryland.
Beverly A TeicherDivision of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland.
Richard SimonBiometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, Maryland.
James H DoroshowDivision of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland. doroshoj@mail.nih.gov.
Center for Cancer Research · USFrederick National Laboratory for Cancer Research · USNational Institutes of Health · US

Funding

Phase 01 Clinical TrialsZIABC011078 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DOROSHOW, JAMES · 2009 to 2025
$9.0M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC011078NCI NIH HHS HHSN261200800001E
6 · The paper itself

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.

Indexed as

Gene Expression ProfilingNational Cancer Institute (U.S.)Antineoplastic AgentsBiomarkers, TumorCell Line, TumorDeoxycytidineDose-Response Relationship, DrugDrug Screening Assays, AntitumorEarly Growth Response Protein 1Erlotinib HydrochlorideGemcitabineGene Expression Regulation, NeoplasticHumansInternetOligonucleotide Array Sequence AnalysisSignal TransductionAntineoplastic AgentsBiomarkers, TumorDeoxycytidineEarly Growth Response Protein 1EGR1 protein, humanErlotinib HydrochlorideGemcitabineVorinostat

Identifiers

PMID30355619
PMCPMC6295263
OpenAlexW2898097650

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.