Evidence map›Paper›PMID 26819681›Full record

ArticleJournal of cancer science & therapy

Comparative Analysis of Differentially Expressed miRNAs and their Downstream mRNAs in Ovarian Cancer and its Associated Endometriosis.

Richard Licheng Wu, Shadan Ali, Sudeshna Bandyopadhyay, Baraa Alosh, Kinda Hayek, Mhd Fayez Daaboul, Ira Winer, Fazlul H Sarkar, Rouba Ali-Fehmi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cancer science & therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.6field-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

28 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Identification of Key miRNAs in Endometriosis.MicroRNA (Shariqah, United Arab Emirates) · 2025
    Article
  5. Article
  6. Article
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  8. miR 31-3p Has the Highest Expression in Cesarean Scar Endometriosis.International journal of molecular sciences · 2022
    Article
  9. Article
  10. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Endometriosis and risk of ovarian cancer: what do we know?Archives of gynecology and obstetrics · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. 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

9 authors at 2 institutions in 1 country.

Richard Licheng WuDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Shadan AliDepartment of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Sudeshna BandyopadhyayDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Baraa AloshDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Kinda HayekDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Mhd Fayez DaaboulDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Ira WinerDepartment of obstetrics and Gynecology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Fazlul H SarkarDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA; Department of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Rouba Ali-FehmiDepartment of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
The Barbara Ann Karmanos Cancer Institute · USWayne State University · US

Funding

Prevention of Tumor Progression by a Novel ApproachR01CA154321 · NCI · WAYNE STATE UNIVERSITY · PI SARKAR, FAZLUL H. · 2011 to 2015
$1.5M
NCI NIH HHS R01 CA154321
6 · The paper itself

Abstract

objectiveThere is an increased risk of developing ovarian cancer (OC) in patients with endometriosis. Hence, development of new biomarkers may provide a positive clinical outcome for early detection. MicroRNAs (miRNAs) are small non-coding RNAs that play an important role in biological and pathological process and are currently used as diagnostic and prognostic markers in various cancers. In the current study, we assessed the differential expression of miRNAs from 19 paired ovarian cancer and its associated endometriosis tissue samples. In addition we also analyzed the downstream targets of those miRNAs.

methodsNineteen paired cases of ovarian cancer and endometriosis foci were identified by a gynecologic pathologist and macro-dissected. The total RNAs were extracted and subjected to comprehensive miRNA profiling from the pooled samples of these two different entities using microarray analysis. Later, the abnormal expressions of few selected miRNAs were validated in individual cases by quantitative real-time PCR (qRT-PCR). Ingenuity pathway analysis revealed target mRNAs which were validated by qRT-PCR.

resultsThe miRNA profiling identified deregulation of greater than 1156 miRNAs in OC, of which the top seven were further validated by qRT-PCR. The expression of

conclusionThe expression of miRNAs and mRNAs in OC were significantly different compared to its concurrent endometriosis. These differential expressed miRNAs may serve as potential diagnostic and prognostic biomarkers for OC associated with endometriosis.

Indexed as

EndometriosisFFPEmiRNANF-κBOvarian cancerPTEN

Identifiers

PMID26819681
PMCPMC4725315
OpenAlexW2432305911

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Registered trials

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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.