Evidence map›Paper›PMID 25304686›Full record

ReviewMolecular cancer research : MCR2015

Clinically relevant microRNAs in ovarian cancer.

Shu Zhang, Zhen Lu, Anna K Unruh, Cristina Ivan, Keith A Baggerly, George A Calin, Zongfang Li, Robert C Bast, Xiao-Feng Le

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular cancer research : MCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. NGF/TRKA Decrease miR-145-5p Levels in Epithelial Ovarian Cancer Cells.International journal of molecular sciences · 2020
    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

9 authors at 2 institutions in 2 countries.

Shu ZhangFrom the Department of General Surgery, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shanxi, People's Republic of China. Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Zhen LuDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Anna K UnruhDepartment of Bioinformatics Computer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Cristina IvanDepartment of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Keith A BaggerlyDepartment of Bioinformatics Computer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
George A CalinDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Zongfang LiFrom the Department of General Surgery, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shanxi, People's Republic of China.
Robert C BastDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas. rbast@mdanderson.org xfle@live.com.
Xiao-Feng LeDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas. rbast@mdanderson.org xfle@live.com.
The University of Texas MD Anderson Cancer Center · USSecond Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA083639
6 · The paper itself

Abstract

microRNAs (miRNAs/miRs) belong to a class of small noncoding RNAs that can negatively regulate messenger RNA (mRNA) expression of target genes. miRNAs are involved in multiple aspects of ovarian cancer cell dysfunction and the phenotype of ovarian cancer cells can be modified by targeting miRNA expression. miRNA profiling has detected a number of candidate miRNAs with the potential to regulate many important biologic functions in ovarian cancer, but their role still needs to be clarified, given the remarkable heterogeneity among ovarian cancers and the context-dependent role of miRNAs. This review summarizes the data collected from The Cancer Genome Atlas (TCGA) and several other genome-wide projects to identify dysregulated miRNAs in ovarian cancers. Copy number variations (CNVs), epigenetic alterations, and oncogenic mutations are also discussed that affect miRNA levels in ovarian disease. Emphasis is given to the role of particular miRNAs in altering expression of genes in human ovarian cancers with the potential to provide diagnostic, prognostic, and therapeutic targets. Particular attention has been given to TP53, BRCA1/2, CA125 (MUC16), HE4 (WFDC2), and imprinted genes such as ARHI (DIRAS3). A better understanding of the abnormalities in miRNA expression and downstream transcriptional and biologic consequences will provide leads for more effective biomarkers and translational approaches in the management of ovarian cancer.

Indexed as

Genetic Variation3' Untranslated RegionsDNA Copy Number VariationsEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGenomic ImprintingHumansMicroRNAsMutationOvarian NeoplasmsRNA, Messenger3' Untranslated RegionsMicroRNAsRNA, Messenger

Identifiers

PMID25304686
PMCPMC4369176
OpenAlexW2149891355

What OpenQuestion holds

Textmetadata
LicenceTDM
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.