Evidence map›Paper›PMID 28282343›Full record

ArticleCurrent opinion in oncology2017

Targeting of protein translation as a new treatment paradigm for prostate cancer.

Vidya P Ramamurthy, Senthilmurugan Ramalingam, Andrew K Kwegyir-Afful, Arif Hussain, Vincent C O Njar

Abstract read
In one paragraph

Article in Current opinion in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 24 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

5 authors at 2 institutions in 1 country.

Vidya P RamamurthyaDepartment of Pharmacology bCenter for Biomolecular Therapeutics cMarlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine dVeterans Affairs Medical Center, Baltimore, Maryland, USA.
Senthilmurugan Ramalingam
Andrew K Kwegyir-Afful
Arif Hussain
Vincent C O Njar
University of Maryland, Baltimore · USUniversity of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center

Funding

Targeting Pancreatic Cancer with Novel Mnk-eIF4E and AR Modulating AgentsR21CA195694 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI NJAR, VINCENT COLLINS OFUKA · 2015 to 2016
$395k
Optimization of Multi-Modal Therapies in Pre-clinical models of Prostate CancerI01BX000545 · VA · BALTIMORE VA MEDICAL CENTER · PI HUSSAIN, ARIF · 2009 to 2021
–
BLRD VA I01 BX000545NCI NIH HHS R21 CA195694
6 · The paper itself

Abstract

purpose of reviewThe current overview will summarize some of the developments in the area of protein translation, including their relation to the therapeutic targeting of prostate cancer. RECENT

findingsTranslational control, mediated by the rate-limiting eukaryotic translation initiation factor 4E (eIF4E), drives selective translation of several oncogenic proteins, thereby contributing to tumor growth, metastasis, and treatment resistance in various cancers, including prostate cancer. As an essential regulatory hub, several oncogenic hyperactive signaling pathways appear to converge on eIF4E to promote tumorigenesis. Several approaches that target the eIF4E-dependent protein translation network are being actively studied, and it is likely that some may ultimately emerge as promising anticancer therapeutics. SUMMARY: An array of inhibitors has shown promise in targeting specific components of the translational machinery in several preclinical models of prostate cancer. It is hoped that some of these approaches may ultimately have relevance in improving the clinical outcomes of patients with advanced prostate cancer.

Identifiers

PMID28282343
PMCPMC5591782
OpenAlexW2594520735

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Registered trials

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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.