Evidence map›Paper›PMID 27833082›Full record

ArticleOncotarget2016

Discovery and replication of microRNAs for breast cancer risk using genome-wide profiling.

Cenny Taslim, Daniel Y Weng, Theodore M Brasky, Ramona G Dumitrescu, Kun Huang, Bhaskar V S Kallakury, Shiva Krishnan, Adana A Llanos, Catalin Marian, Joseph McElroy and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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  10. Role of Nerve Growth Factor (NGF) and miRNAs in Epithelial Ovarian Cancer.International journal of molecular sciences · 2017
    Review
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

16 authors at 8 institutions in 2 countries.

Cenny TaslimComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Daniel Y WengComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Theodore M BraskyComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Ramona G DumitrescuDistilled Spirits Council of the United States, Washington, DC, USA.
Kun HuangComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Bhaskar V S KallakuryDepartment of Pathology, Georgetown University, Washington, DC, USA.
Shiva KrishnanComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Adana A LlanosDepartment of Epidemiology, Rutgers University, New Brunswick, NJ, USA.
Catalin MarianComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Joseph McElroyCenter for Biostatistics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Sallie S SchneiderPioneer Valley Life Sciences Institute, Springfield, MA, USA.
Scott L SpearDepartment of Plastic Surgery, Georgetown University Hospital, Washington, DC, USA.
Melissa A TroesterLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jo L FreudenheimDepartement of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Susan GeyerHealth Informatics Institute, University of South Florida, Tampa, FL, USA.
Peter G ShieldsComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
The Ohio State University · USGeorgetown University · USPioneer (United States) · USRutgers, The State University of New Jersey · USUnited States Chamber of Commerce · USUniversity at Buffalo, State University of New York · USUniversity of North Carolina at Chapel Hill · USUniversity of South Florida · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
NCI NIH HHS P30 CA016058NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223
6 · The paper itself

Abstract

backgroundGenome-wide miRNA expression may be useful for predicting breast cancer risk and/or for the early detection of breast cancer.

resultsA 41-miRNA model distinguished breast cancer risk in the discovery study (accuracy of 83.3%), which was replicated in the independent study (accuracy = 63.4%, P=0.09). Among the 41 miRNA, 20 miRNAs were detectable in serum, and predicted breast cancer occurrence within 18 months of blood draw (accuracy 53%, P=0.06). These risk-related miRNAs were enriched for HER-2 and estrogen-dependent breast cancer signaling. MATERIALS AND

methodsMiRNAs were assessed in two cross-sectional studies of women without breast cancer and a nested case-control study of breast cancer. Using breast tissues, a multivariate analysis was used to model women with high and low breast cancer risk (based upon Gail risk model) in a discovery study of women without breast cancer (n=90), and applied to an independent replication study (n=71). The model was then assessed using serum samples from the nested case-control study (n=410).

conclusionsStudying breast tissues of women without breast cancer revealed miRNAs correlated with breast cancer risk, which were then found to be altered in the serum of women who later developed breast cancer. These results serve as proof-of-principle that miRNAs in women without breast cancer may be useful for predicting breast cancer risk and/or as an adjunct for breast cancer early detection. The miRNAs identified herein may be involved in breast carcinogenic pathways because they were first identified in the breast tissues of healthy women.

Indexed as

AdultAgedBreast NeoplasmsCase-Control StudiesCross-Sectional StudiesFemaleGene Expression ProfilingHumansMicroRNAsMiddle AgedRiskMicroRNAsbreast cancer risk predictionepigeneticshealthy womenmicroRNAtissue-based biomarkers

Identifiers

PMID27833082
PMCPMC5349926
OpenAlexW2551243656

What OpenQuestion holds

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LicenceCC BY
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.