Evidence map›Paper›PMID 23734683›Full record

ArticleFuture medicinal chemistry2013

RGS17: an emerging therapeutic target for lung and prostate cancers.

Christopher R Bodle, Duncan I Mackie, David L Roman

Open access · greenAbstract read
In one paragraph

Article in Future medicinal chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 46 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

3 authors at 1 institution in 1 country.

Christopher R BodleThe Department of Pharmaceutical Sciences & Experimental Therapeutics, University of Iowa, College of Pharmacy, Iowa City, IA, USA.
Duncan I Mackie
David L Roman
University of Iowa · US

Funding

PREDOCTORAL TRAINING PROGRAM IN BIOTECHNOLOGYT32GM008365 · NIGMS · UNIVERSITY OF IOWA · PI KERNS, ROBERT JOHN · 1990 to 2021
$3.8M
Biochemical and Cell-Based HTS Assays for RGS17 InhibitorsR01CA160470 · NCI · UNIVERSITY OF IOWA · PI ROMAN, DAVID L. · 2012 to 2014
$888k
NCI NIH HHS 5R01CA160470-02NCI NIH HHS R01 CA160470NIGMS NIH HHS T32 GM008365
6 · The paper itself

Abstract

Ligands for G-protein-coupled receptors (GPCRs) represent approximately 50% of currently marketed drugs. RGS proteins modulate heterotrimeric G proteins and, thus, GPCR signaling, by accelerating the intrinsic GTPase activity of the Gα subunit. Given the prevalence of GPCR targeted therapeutics and the role RGS proteins play in G protein signaling, some RGS proteins are emerging as targets in their own right. One such RGS protein is RGS17. Increased RGS17 expression in some prostate and lung cancers has been demonstrated to support cancer progression, while reduced expression of RGS17 can lead to development of chemotherapeutic resistance in ovarian cancer. High-throughput screening is a powerful tool for lead compound identification, and utilization of high-throughput technologies has led to the discovery of several RGS inhibitors, thus far. As screening technologies advance, the identification of novel lead compounds the subsequent development of targeted therapeutics appears promising.

Indexed as

Antineoplastic AgentsDopamineDrug Resistance, NeoplasmGTP-Binding Protein alpha SubunitsHeterotrimeric GTP-Binding ProteinsHumansLigandsLung NeoplasmsMaleProstatic NeoplasmsReceptors, Opioid, muRGS ProteinsSignal TransductionAntineoplastic AgentsDopamineGTP-Binding Protein alpha SubunitsHeterotrimeric GTP-Binding ProteinsLigandsReceptors, Opioid, muRGS Proteins

Identifiers

PMID23734683
PMCPMC3865709
OpenAlexW1967682147

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.