Evidence map›Paper›PMID 29444985›Full record

ArticleMolecular cancer therapeutics2018

Molecular Pharmacodynamics-Guided Scheduling of Biologically Effective Doses: A Drug Development Paradigm Applied to MET Tyrosine Kinase Inhibitors.

Apurva K Srivastava, Melinda G Hollingshead, Jeevan Prasaad Govindharajulu, Joseph M Covey, Dane Liston, Melanie A Simpson, James O Peggins, Donald P Bottaro, John J Wright, Robert J Kinders and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 11 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

12 authors at 1 institution in 1 country.

Apurva K SrivastavaClinical Pharmacodynamics Biomarker Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Melinda G HollingsheadBiological Testing Branch, Developmental Therapeutics Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Jeevan Prasaad GovindharajuluClinical Pharmacodynamics Biomarker Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Joseph M CoveyDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Dane ListonDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Melanie A SimpsonClinical Pharmacodynamics Biomarker Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
James O PegginsDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Donald P BottaroUrologic Oncology Branch, National Cancer Institute, Bethesda, Maryland.
John J WrightDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Robert J KindersClinical Pharmacodynamics Biomarker Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
James H DoroshowDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Ralph E ParchmentClinical Pharmacodynamics Biomarker Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland. parchmentr@mail.nih.gov.
National Cancer Institute · US

Funding

Oncogenic Met Signaling in Urologic MalignanciesZIABC011124 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BOTTARO, DONALD · 2009 to 2021
$5.8M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS HHSN261201100012CNCI NIH HHS HHSN261201100012INCI NIH HHS HHSN261201100016I
6 · The paper itself

Abstract

The development of molecularly targeted agents has benefited from use of pharmacodynamic markers to identify "biologically effective doses" (BED) below MTDs, yet this knowledge remains underutilized in selecting dosage regimens and in comparing the effectiveness of targeted agents within a class. We sought to establish preclinical proof-of-concept for such pharmacodynamics-based BED regimens and effectiveness comparisons using MET kinase small-molecule inhibitors. Utilizing pharmacodynamic biomarker measurements of MET signaling (tumor pY

Indexed as

Xenograft Model Antitumor AssaysAnilidesAnimalsCell Line, TumorDrug DevelopmentHumansMice, NudeProtein Kinase InhibitorsProto-Oncogene Proteins c-metPyridazinesPyridinesPyrimidinesQuinolinesStomach NeoplasmsTreatment OutcomeTumor BurdenAnilidescabozantinibEMD1214063GSK 1363089Protein Kinase InhibitorsProto-Oncogene Proteins c-metPyridazinesPyridinesPyrimidinesQuinolines

Identifiers

PMID29444985
PMCPMC5935559
OpenAlexW2789873517

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.