Evidence map›Paper›PMID 27959953›Full record

ArticlePloS one2016

Identification of MicroRNAs as Breast Cancer Prognosis Markers through the Cancer Genome Atlas.

Jeremy T-H Chang, Fan Wang, William Chapin, R Stephanie Huang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

66 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Biomedicines · 2025
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  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Impact ofCancers · 2024
    Article
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  12. Article
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  14. Article
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6 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

4 authors at 1 institution in 1 country.

Jeremy T-H ChangBiological Sciences Collegiate Division, University of Chicago, Chicago, Illinois, United States of America.
Fan WangDepartment of Medicine, University of Chicago, Chicago, Illinois, United States of America.
William ChapinPritzker School of Medicine, University of Chicago, Chicago, Illinois, United States of America.
R Stephanie HuangDepartment of Medicine, University of Chicago, Chicago, Illinois, United States of America.
University of Chicago · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI RATAIN, MARK J · 2000 to 2014
$39.0M
TRANSLATIONAL RESEARCH UNIVERSITY OF CHICAGO: CLINICAL TRIALSUL1RR024999 · NCRR · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2007 to 2011
$25.3M
Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
Short Term Training: Health Professional StudentsT35DK062719 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 2003 to 2017
$2.9M
Genome-wide interrogation of genetic signatures for glucocorticoid sensitivityK08GM089941 · NIGMS · UNIVERSITY OF CHICAGO · PI HUANG, RONG STEPHANIE · 2010 to 2014
$498k
Incorporation of microRNA expression in pharmacogenetic prediction modelsR21CA139278 · NCI · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN, HUANG, RONG STEPHANIE · 2009 to 2010
$378k
NCI NIH HHS P30 CA014599NCI NIH HHS P50 CA125183NCI NIH HHS R21 CA139278NCRR NIH HHS UL1 RR024999NIDDK NIH HHS T35 DK062719NIGMS NIH HHS K08 GM089941NIGMS NIH HHS U01 GM061393
6 · The paper itself

Abstract

Breast cancer is the second-most common cancer and second-leading cause of cancer mortality in American women. The dysregulation of microRNAs (miRNAs) plays a key role in almost all cancers, including breast cancer. We comprehensively analyzed miRNA expression, global gene expression, and patient survival from the Cancer Genomes Atlas (TCGA) to identify clinically relevant miRNAs and their potential gene targets in breast tumors. In our analysis, we found that increased expression of 12 mature miRNAs-hsa-miR-320a, hsa-miR-361-5p, hsa-miR-103a-3p, hsa-miR-21-5p, hsa-miR-374b-5p, hsa-miR-140-3p, hsa-miR-25-3p, hsa-miR-651-5p, hsa-miR-200c-3p, hsa-miR-30a-5p, hsa-miR-30c-5p, and hsa-let-7i-5p -each predicted improved breast cancer survival. Of the 12 miRNAs, miR-320a, miR-361-5p, miR-21-5p, miR-103a-3p were selected for further analysis. By correlating global gene expression with miRNA expression and then employing miRNA target prediction analysis, we suggest that the four miRNAs may exert protective phenotypes by targeting breast oncogenes that contribute to patient survival. We propose that miR-320a targets the survival-associated genes RAD51, RRP1B, and TDG; miR-361-5p targets ARCN1; and miR-21-5p targets MSH2, RMND5A, STAG2, and UBE2D3. The results of our stringent bioinformatics approach for identifying clinically relevant miRNAs and their targets indicate that miR-320a, miR-361-5p, and miR-21-5p may contribute to breast cancer survival.

Indexed as

Breast NeoplasmsCell SurvivalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene SilencingGenome, HumanHumansKaplan-Meier EstimateMicroRNAsOncogenesPhenotypePrognosisTreatment OutcomeMicroRNAs

Identifiers

PMID27959953
PMCPMC5154569
OpenAlexW2562686279

What OpenQuestion holds

Textmetadata
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.