Evidence map›Paper›PMID 33022981›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Analysis of Reciprocally Dysregulated miRNAs in Eutopic Endometrium Is a Promising Approach for Low Invasive Diagnostics of Adenomyosis.

Evgeny Borisov, Margarita Knyazeva, Veronika Novak, Lidia Zabegina, Tatyana Prisyazhnaya, Aleksey Karizkiy, Igor Berlev, Anastasia Malek

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Liquid Biopsy in Endometriosis: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
  3. Observational
  4. Review
  5. Review
  6. Article
  7. Review
  8. MicroRNAs as Biomarkers and Therapeutic Targets in Female Infertility.International journal of molecular sciences · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Immunohistochemical expression of Drosha is reduced in eutopic and ectopic endometrium of women with adenomyosis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
    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

8 authors at 4 institutions in 1 country.

Evgeny BorisovSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.ORCID 0000-0002-8506-4913
Margarita KnyazevaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.ORCID 0000-0002-2079-5061
Veronika NovakDepartment of Obstetrics and Gynecology, North-Western State Medical University Named after I.I. Mechnikov, 195067 Saint-Petersburg, Russia.
Lidia ZabeginaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.
Tatyana PrisyazhnayaDepartment of Obstetrics and Gynecology, North-Western State Medical University Named after I.I. Mechnikov, 195067 Saint-Petersburg, Russia.
Aleksey KarizkiyInformation Technologies and Programming Faculty, Information Technologies, Mechanics and Optics University, 197101 Saint-Petersburg, Russia.
Igor BerlevSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.
Anastasia MalekSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.ORCID 0000-0001-5334-7292
North-Western State Medical University named after I.I. Mechnikov · RUNanosystem (Russia) · RUPeter the Great St. Petersburg Polytechnic University · RUITMO University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a chronic disease characterized by the growth of endometrial tissue outside of the uterine cavity. Endometriosis affects up to 10% of women of reproductive age and has great social impact. The diagnostics of endometriosis are based on clinical appearance, ultrasound, and magnetic resonance imaging (MRI); however, a diagnosis is frequently hampered by the absence of objective criteria. Adenomyosis (AM) is a particular type of endometriosis wherein the spread of the ectopic endometrial gland is limited by the uterine myometrium. Alteration of the microRNA expression profile in the eutopic endometrium can be associated with AM, and may be assayed for diagnostic purposes. In the presented study, we aimed to explore the diagnostic potency of this approach. Eutopic endometrium specimens were collected from patients (n = 33) and healthy women (n = 30). The microRNA expression was profiled to select individual microRNAs with AM-associated expression alterations. A new method of two-tailed RT-qPCR microRNA analysis was applied to assay potential markers. The expression ratios of reciprocally dysregulated microRNAs were calculated, and the diagnostic potency of these parameters was evaluated by receiver operation curve (ROC) analysis. Mir-10b, miR-200c and miR-191 were significantly dysregulated in the eutopic endometrium of AM patients. The expression ratio of reciprocally dysregulated microRNAs allowed us to diagnose AM with a range of sensitivity from 65% to 74%, and of specificity from 72% to 86%. The analysis of microRNAs from the eutopic endometrium might present a promising low-invasive method of AM diagnostics.

Indexed as

adenomyosisendometriosiseutopic endometriummicroRNAmiRNAtwo-tailed RT-qPCR

Identifiers

PMID33022981
PMCPMC7601074
OpenAlexW3089556392

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.