Evidence map›Paper›PMID 28965870›Full record

ReviewBiochimica et biophysica acta. Reviews on cancer2017

Targeting RNA helicases in cancer: The translation trap.

Marise R Heerma van Voss, Paul J van Diest, Venu Raman

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Reviews on cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

53 citing papers in PubMed, 102 citations in OpenAlex.

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  11. International journal of molecular sciences · 2024
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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 2 institutions in 2 countries.

Marise R Heerma van VossDepartment of Radiology and Radiological Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA; Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
Paul J van DiestDepartment of Radiology and Radiological Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins University, School of Medicine, MD, USA.
Venu RamanDepartment of Radiology and Radiological Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA; Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands; Department of Oncology, Johns Hopkins University, School of Medicine, MD, USA. Electronic address: vraman2@jhmi.edu.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Analytical determination of biomarkers for diagnosis of breast cancer metastatic progressionR01CA207208 · NCI · JOHNS HOPKINS UNIVERSITY · PI RAMAN, VENU · 2016 to 2020
$1.8M
NCI NIH HHS R01 CA207208
6 · The paper itself

Abstract

Cancer cells are reliant on the cellular translational machinery for both global elevation of protein synthesis and the translation of specific mRNAs that promote tumor cell survival. Targeting translational control in cancer is therefore increasingly recognized as a promising therapeutic strategy. In this regard, DEAD/H box RNA helicases are a very interesting group of proteins, with several family members regulating mRNA translation in cancer cells. In this review, we delineate the mechanisms by which DEAD/H box proteins modulate oncogenic translation and how inhibition of these RNA helicases can be exploited for anti-cancer therapeutics.

Indexed as

5' Untranslated RegionsCarcinogenesisDEAD-box RNA HelicasesEukaryotic Initiation Factor-4AHumansNeoplasmsProtein BiosynthesisRNA Helicases5' Untranslated RegionsDDX3X protein, humanDEAD-box RNA HelicasesEukaryotic Initiation Factor-4ARNA HelicasesDDXDDX3eIF4ARNA helicaseTranslation

Identifiers

PMID28965870
PMCPMC5675762
OpenAlexW2758905589

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.