Evidence map›Paper›PMID 25360222›Full record

ArticleAmerican journal of translational research2014

Prognostic value of miR-375 and miR-214-3p in early stage oral squamous cell carcinoma.

Angela J Yoon, Shuang Wang, Jing Shen, Nicolas Robine, Elizabeth Philipone, Martin W Oster, Albert Nam, Regina M Santella

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.6field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  6. Mechanisms Involved in Therapeutic Effects ofBioMed research international · 2024
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  20. Serum miR-483-5p: a novel diagnostic and prognostic biomarker for patients with oral squamous cell carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
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

8 authors at 1 institution in 1 country.

Angela J YoonDivision of Oral and Maxillofacial Pathology, Columbia University Medical Center and College of Dental Medicine New York, NY, USA.
Shuang WangDepartment of Biostatistics, Columbia University Mailman School of Public Health New York, NY, USA.
Jing ShenDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health New York, NY, USA.
Nicolas RobineNew York Genome Center New York, NY, USA.
Elizabeth PhiliponeDivision of Oral and Maxillofacial Pathology, Columbia University Medical Center and College of Dental Medicine New York, NY, USA.
Martin W OsterDivision of Hematology/Oncology, Columbia University Medical Center New York, NY, USA.
Albert NamUniversity of Chicago Chicago, IL, USA.
Regina M SantellaDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health New York, NY, USA.
University of Chicago · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
MicroRNA marker-based prognosis of oral cancer survivalR03DE022797 · NIDCR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YOON, ANGELA JIYEON · 2013 to 2014
$240k
NIDCR NIH HHS R03 DE022797NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

MicroRNAs (miRs) control cell growth, apoptosis and differentiation, and thus play a key role in carcinogenesis. Identification of a set of miRs that demonstrate differential expression in oral squamous cell carcinoma (OSCC) patients with poor prognosis has potential for utility as a prognostic marker. A retrospective study of miR expression was conducted in 20 tissue samples from early stage (Stages I & II) OSCC patients with known clinical outcome (10 from those who had 5-year disease free survival and 10 who died of disease within 5 years) using genome-wide deep sequencing analysis. The promising miR candidates were then validated in 80 tissue samples using quantitative real-time PCR (qRT-PCR). The deep sequencing and qRT-PCR analysis identified two promising miRs, miR-375 and miR-214-3p. Combining the two miRs as a panel with age and gender had a predictive value for the area under the curve (AUC) of 0.932, with a sensitivity of 87.5% and a specificity of 87.2% (p<0.0001) to identify patients with poor prognosis. A miR-based prognostic risk score model was constructed, which included the miR-214-3p, miR-375, age and gender, each weighed by relative contribution. The risk score model was able to identify high-risk individuals who had significantly shorter time to relapse (p<0.001) and time to death (p<0.001). The model consisting of a two-miR panel with age and gender may be useful in prognostication of early stage OSCC patients, which can aid in identifying patients with poor prognosis who will benefit from a subsequent aggressive treatment regimen.

Indexed as

deep sequencingmicroRNAoral squamous cell carcinomaprognosisqRT-PCRrisk score

Identifiers

PMID25360222
PMCPMC4212932
OpenAlexW191165418

What OpenQuestion holds

Textmetadata
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.