Evidence map›Paper›PMID 22178394›Full record

ReviewSeminars in cancer biology2012

The role of miRNAs and EBV BARTs in NPC.

Aron R Marquitz, Nancy Raab-Traub

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Seminars in cancer biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–field-weighted citation impact
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

62 citing papers in PubMed.

  1. Article
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  18. Review
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  20. PAN RNA: transcriptional exhaust from a viral engine.Journal of biomedical science · 2020
    Review

2 more citing papers are in PubMed but not listed here.

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

2 authors.

Aron R MarquitzLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Nancy Raab-Traub

Funding

EBV TRANSCRIPTION IN NASOPHARYNGEAL CARCINOMAR01CA032979 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RAAB-TRAUB, NANCY JOAN · 1985 to 2014
$4.4M
EBV BART miRNAs: Identification of Targets and Characterization of the Effects oR01CA138811 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RAAB-TRAUB, NANCY JOAN · 2010 to 2014
$1.5M
NCI NIH HHS CA138811NCI NIH HHS R01 CA032979NCI NIH HHS R01 CA138811
6 · The paper itself

Abstract

The BamHI A rightward transcripts are a set of alternatively splicing transcripts produced by Epstein-Barr Virus that are highly expressed in nasopharyngeal carcinoma. These transcripts contain several open reading frames as well as precursors for twenty-two miRNAs. Although the putative proteins corresponding to these open reading frames have not been detected, several studies have identified properties that are interesting and potentially significant with respect to cellular transformation. The miRNAs, however, are very abundant in all nasopharyngeal carcinomas and several potentially significant functions have been identified for some of the miRNAs. This article will focus on the nature of this complicated set of transcripts and the evidence that they contribute to the development of nasopharyngeal carcinoma.

Indexed as

Apoptosis Regulatory ProteinsCarcinomaCell Transformation, NeoplasticHerpesvirus 4, HumanHost-Pathogen InteractionsHumansMicroRNAsMitochondrial Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsNasopharyngeal CarcinomaNasopharyngeal NeoplasmsProto-Oncogene ProteinsRNA, ViralApoptosis Regulatory ProteinsBBC3 protein, humanMicroRNAsMitochondrial Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsProto-Oncogene ProteinsRNA, ViralTOMM22 protein, human

Identifiers

PMID22178394
PMCPMC3340885

What OpenQuestion holds

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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.