Evidence map›Paper›PMID 24489963›Full record

ArticlePloS one2014

On the reproducibility of TCGA ovarian cancer microRNA profiles.

Ying-Wooi Wan, Claire M Mach, Genevera I Allen, Matthew L Anderson, Zhandong Liu

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Inhibition of miR-141 and miR-200a IncreaseInternational journal of environmental research and public health · 2020
    Article
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  5. Article
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  7. Review
  8. Article
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  10. Review
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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

5 authors.

Ying-Wooi WanDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America ; Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, United States of America ; Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas, United States of America.
Claire M MachDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, United States of America ; College of Pharmacy, University of Houston, Houston, Texas, United States of America.
Genevera I AllenDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America ; Neurological Research Institute, Texas Children's Hospital, Houston, Texas, United States of America ; Department of Statistics and Electrical & Computer Engineering, Rice University, Houston, Texas, United States of America.
Matthew L AndersonDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, United States of America ; Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas, United States of America ; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America.
Zhandong LiuDepartment of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America ; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America ; Computational and Integrative Biomedical Research (CIBR) Center, Baylor College of Medicine, Houston, Texas, United States of America ; Neurological Research Institute, Texas Children's Hospital, Houston, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the role of specific miRNAs in determining cancer outcomes remains unclear. Using Level 3 expression data from the Cancer Genome Atlas (TCGA), we identified 61 miRNAs that are associated with overall survival in 469 ovarian cancers profiled by microarray (p<0.01). We also identified 12 miRNAs that are associated with survival when miRNAs were profiled in the same specimens using Next Generation Sequencing (miRNA-Seq) (p<0.01). Surprisingly, only 1 miRNA transcript is associated with ovarian cancer survival in both datasets. Our analyses indicate that this discrepancy is due to the fact that miRNA levels reported by the two platforms correlate poorly, even after correcting for potential issues inherent to signal detection algorithms. Corrections for false discovery and microRNA abundance had minimal impact on this discrepancy. Further investigation is warranted.

Indexed as

Oligonucleotide Array Sequence AnalysisFemaleHumansMicroRNAsOvarian NeoplasmsProportional Hazards ModelsReproducibility of ResultsTranscriptomeMicroRNAs

Identifiers

PMID24489963
PMCPMC3906208

What OpenQuestion holds

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LicenceCC BY
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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.