Evidence map›Paper›PMID 32842533›Full record

ArticleInternational journal of molecular sciences2020

Discriminating miRNA Profiles between Endometrioid Well- and Poorly-Differentiated Tumours and Endometrioid and Serous Subtypes of Endometrial Cancers.

Lenka Kalinkova, Karol Kajo, Miloslav Karhanek, Lenka Wachsmannova, Peter Suran, Iveta Zmetakova, Ivana Fridrichova

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Lenka KalinkovaDepartment of Genetics, Cancer Research Institute, Biomedical Research Center of Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.
Karol KajoDepartment of Pathology, St. Elisabeth Cancer Institute, 812 50 Bratislava, Slovakia.
Miloslav KarhanekLaboratory of Bioinformatics, Biomedical Research Center of Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.
Lenka WachsmannovaDepartment of Genetics, Cancer Research Institute, Biomedical Research Center of Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.
Peter SuranDepartment of Pathology, St. Elisabeth Cancer Institute, 812 50 Bratislava, Slovakia.
Iveta ZmetakovaDepartment of Genetics, Cancer Research Institute, Biomedical Research Center of Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.
Ivana FridrichovaDepartment of Genetics, Cancer Research Institute, Biomedical Research Center of Slovak Academy of Sciences, 845 05 Bratislava, Slovakia.ORCID 0000-0001-7581-1770
Cancer Research Institute of the Slovak Academy of Sciences · SKVysoká Škola Zdravotníctva a Sociálnej Práce sv. Alžbety · SKBiomedical Research Center of the Slovak Academy of Sciences · SK

Funding

Ministry of Health of the Slovak Republic 2018/45-SAV-4
6 · The paper itself

Abstract

The discrimination of different subtypes of endometrial carcinoma (EC) is frequently problematic when using the current histomorphological classification; therefore, new markers for this differentiation are needed. Here, we examined differences in miRNA expression between well- and poorly-differentiated (grades 1 and 3) endometrioid endometrial carcinoma (EEC) and between EEC and serous endometrial carcinoma (SEC). The expression of 84 tumour-suppressor miRNAs was analysed by real-time polymerase chain reactions in 62 EC and 20 non-neoplastic endometrial specimens. The potential functions of the differentially expressed miRNAs were determined by bioinformatics analyses. The expression of let-7c-5p, miR-125b-5p, miR-23b-3p, and miR-99a-5p in grade 3 EEC was decreased compared to grade 1 EEC. To discriminate between EEC and SEC, let-7g-5p, miR-195-5p, miR-34a-5p, and miR-497-5p expression was significantly downregulated in SEC. In bioinformatic analyses, miRNAs that could discriminate grade 1 from grade 3 mainly targeted genes involved in PI3K-AKT signaling, whereas miRNAs that could discriminate EEC from SEC targeted genes involved in several signaling pathways, but mainly MAPK signaling. Taken collectively, our results indicate that the activation of certain signaling pathways can be useful in the molecular characterization of EEC and SEC.

Indexed as

AgedAged, 80 and overCarcinoma, EndometrioidCell DifferentiationCystadenocarcinoma, SerousEndometrial NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRetrospective StudiesTranscriptomeMicroRNAsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktendometrioid endometrial carcinomamiRNA expressionmolecular classificationserous endometrial carcinoma

Identifiers

PMID32842533
PMCPMC7504607
OpenAlexW3081176992

What OpenQuestion holds

Textmetadata
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.