Evidence map›Paper›PMID 29138809›Full record

ArticleInternational journal of oncology2018

MicroRNA expression profiles in non‑epithelial ovarian tumors.

Roger K Chang, Xidan Li, Ninni Mu, Olga Hrydziuszko, Beatriz Garcia-Majano, Catharina Larsson, Weng-Onn Lui

Open access · hybridAbstract read
In one paragraph

Article in International journal of oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. The microRNA-202 as a Diagnostic Biomarker and a Potential Tumor Suppressor.International journal of molecular sciences · 2022
    Review
  7. Non-Epithelial Ovarian Cancers: How Much Do We Really Know?International journal of environmental research and public health · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

7 authors at 3 institutions in 1 country.

Roger K ChangDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Xidan LiDepartment of Medicine, Karolinska Institutet, SE-141 86 Huddinge, Sweden.
Ninni MuDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Olga HrydziuszkoNational Bioinformatics Infrastructure Sweden, Science for Life Laboratory, SE-751 24 Uppsala, Sweden.
Beatriz Garcia-MajanoDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Catharina LarssonDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Weng-Onn LuiDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Karolinska University Hospital · SEKarolinska Institutet · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian germ cell tumors (OGCTs) and sex cord stromal tumors (SCSTs) are rare gynecologic tumors that are derived from germ and stromal cells, respectively. Unlike their epithelial counterparts, molecular pathogenesis of these tumor types is still poorly understood. Here, we characterized microRNA (miRNA) expression profiles of 9 OGCTs (2 malignant and 7 benign) and 3 SCSTs using small RNA sequencing. We observed significant miRNA expression variations among the three tumor groups. To further demonstrate the biological relevance of our findings, we selected 12 miRNAs for validation in an extended cohort of 16 OGCTs (9 benign and 7 malignant) and 7 SCSTs by reverse transcription-quantitative polymerase chain reaction. Higher expression of miR‑373‑3p, miR‑372‑3p and miR‑302c‑3p and lower expression of miR‑199a‑5p, miR‑214‑5p and miR‑202‑3p were reproducibly observed in malignant OGCTs as compared to benign OGCTs or SCSTs. Comparing with benign OGCTs, miR‑202c‑3p and miR‑513c‑5p were more abundant in SCSTs. Additionally, we examined Beclin 1 (BECN1), a target of miR‑199a‑5p, in the clinical samples using western blot analysis. Our results show that BECN1 expression was higher in malignant OGCTs than benign OGCTs, which is concordant with their lower miR‑199a‑5p expression. This study suggests that these miRNAs may have potential value as tumor markers and implications for further understanding the molecular basis of these tumor types.

Indexed as

AdultAgedBase SequenceBeclin-1FemaleHumansMicroRNAsMiddle AgedNeoplasms, Germ Cell and EmbryonalOvarian NeoplasmsRNA, Small CytoplasmicSex Cord-Gonadal Stromal TumorsTranscriptomeYoung AdultBeclin-1BECN1 protein, humanMicroRNAsRNA, Small Cytoplasmic

Identifiers

PMID29138809
PMCPMC5743337
OpenAlexW2767784095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.