Evidence map›Paper›PMID 31293968›Full record

ArticleFrontiers in oncology2019

miRNAs as Candidate Biomarker for the Accurate Detection of Atypical Endometrial Hyperplasia/Endometrial Intraepithelial Neoplasia.

Simona Giglio, Viviana Annibali, Roberto Cirombella, Omar Faruq, Stefano Volinia, Claudia De Vitis, Margherita Pesce, Donatella Caserta, Angela Pettinato, Filippo Fraggetta and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Alternative splicing ofJournal of gynecologic oncology · 2023
    Article
  3. Review
  4. Computational and Bioinformatics Methods for MicroRNA Gene Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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

11 authors at 3 institutions in 1 country.

Simona GiglioDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Viviana AnnibaliDepartment of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Roberto CirombellaDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Omar FaruqDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Stefano VoliniaDepartment of Internal Medicine, Biosystems Analysis, LTTA, Department of Morphology, Surgery and Experimental Medicine, Università Degli Studi, Ferrara, Italy.
Claudia De VitisDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Margherita PesceDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Donatella CasertaDepartment of Medical-Surgical Sciences and Translational Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Angela PettinatoPathology Unit, Cannizzaro Hospital, Catania, Italy.
Filippo FraggettaPathology Unit, Cannizzaro Hospital, Catania, Italy.
Andrea VecchioneDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Sant'Andrea Hospital, Rome, Italy.
Ospedale Cannizzaro · ITAzienda Ospedaliera Sant'Andrea · ITUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer is the most common gynecologic malignancy in developed countries. Estrogen-dependent tumors (type I, endometrioid) account for 80% of cases and non-estrogen-dependent (type II, non-endometrioid) account for the rest. Endometrial cancer type I is generally thought to develop via precursor lesions along with the increasing accumulation of molecular genetic alterations. Endometrial hyperplasia with atypia/Endometrial Intraepithelial Neoplasia is the least common type of hyperplasia but it is the type most likely to progress to type I cancer, whereas endometrial hyperplasia without atypia rarely progresses to carcinoma. MicroRNAs are a class of small, non-coding, single-stranded RNAs that negatively regulate gene expression mainly binding to 3'-untranslated region of target mRNAs. In the current study, we identified a microRNAs signature (miR-205, miR-146a, miR-1260b) able to discriminate between atypical and typical endometrial hyperplasia in two independent cohorts of patients. The identification of molecular markers that can distinguish between these two distinct pathological conditions is considered to be highly useful for the clinical management of patients because hyperplasia with an atypical change is associated with a higher risk of developing cancer. We show that the combination of miR-205, -146a, and -1260b has the best predictive power in discriminating these two conditions (>90%). With the aim to find a biological role for these three microRNAs, we focused our attention on a common putative target involved in endometrial carcinogenesis: the oncosuppressor gene SMAD4. We showed that miRs-146a,-205, and-1260b directly target SMAD4 and their enforced expression induced proliferation and migration of Endometrioid Cancer derived cell lines, Hec1a cells. These data suggest that microRNAs-mediated impairment of the TGF-β pathway, due to inhibition of its effector molecule SMAD4, is a relevant molecular alteration in endometrial carcinoma development. Our findings show a potential diagnostic role of this microRNAs signature for the accurate diagnosis of Endometrial hyperplasia with atypia/Endometrial Intraepithelial Neoplasia and improve the understanding of their pivotal role in SMAD4 regulation.

Indexed as

biomarkersendometrial cancerendometrial hyperplasiamicroRNAsSMAD4TGF-β pathway

Identifiers

PMID31293968
PMCPMC6598546
OpenAlexW2951108750

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.