Evidence map›Paper›PMID 37935712›Full record

ArticleScientific reports2023

Identification of serum miR-1246 and miR-150-5p as novel diagnostic biomarkers for high-grade serous ovarian cancer.

Magdalena Niemira, Anna Erol, Agnieszka Bielska, Anna Zeller, Anna Skwarska, Karolina Chwialkowska, Mariusz Kuzmicki, Jacek Szamatowicz, Joanna Reszec, Pawel Knapp and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Observational
  6. Article
  7. Review
  8. Review
  9. Review
  10. A signature of circulating miRNAs predicts the prognosis and therapeutic outcome of taxane/platinum regimen in advanced ovarian carcinoma patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    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

12 authors at 3 institutions in 2 countries.

Magdalena NiemiraClinical Research Centre, Medical University of Bialystok, Bialystok, Poland. magdalena.niemira@umb.edu.pl.
Anna ErolClinical Research Centre, Medical University of Bialystok, Bialystok, Poland.
Agnieszka BielskaClinical Research Centre, Medical University of Bialystok, Bialystok, Poland.
Anna ZellerClinical Research Centre, Medical University of Bialystok, Bialystok, Poland.
Anna SkwarskaCancer Center, Department of Oncology, Albert Einstein College of Medicine, Bronx, NY, USA.
Karolina ChwialkowskaCentre for Bioinformatics and Data Analysis, Medical University of Bialystok, Bialystok, Poland.
Mariusz KuzmickiDepartment of Gynecology and Gynecological Oncology, Medical University of Bialystok, Bialystok, Poland.
Jacek SzamatowiczDepartment of Gynecology and Gynecological Oncology, Medical University of Bialystok, Bialystok, Poland.
Joanna ReszecDepartment of Medical Pathomorphology, Medical University of Bialystok, Bialystok, Poland.
Pawel KnappUniversity Oncology Centre, University Clinical Hospital in Bialystok, Bialystok, Poland.
Marcin MoniuszkoDepartment of Regenerative Medicine and Immune Regulation, Medical University of Bialystok, Bialystok, Poland.
Adam KretowskiClinical Research Centre, Medical University of Bialystok, Bialystok, Poland.
Medical University of Białystok · PLAlbert Einstein College of Medicine · USUniversity Clinical Hospital In Bialystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is one of the leading cancers in women, with high-grade serous ovarian cancer (HGSOC) being the most common and lethal subtype of this disease. A vast majority of HGSOC are diagnosed at the late stage of the disease when the treatment and total recovery chances are low. Thus, there is an urgent need for novel, more sensitive and specific methods for early and routine HGSOC clinical diagnosis. In this study, we performed miRNA expression profiling using the NanoString miRNA assay in 34 serum samples from patients with HGSOC and 36 healthy women. We identified 13 miRNAs that were differentially expressed (DE). For additional exploration of expression patterns correlated with HGSOC, we performed weighted gene co-expression network analysis (WGCNA). As a result, we showed that the module most correlated with tumour size, nodule and metastasis contained 8 DE miRNAs. The panel including miR-1246 and miR-150-5p was identified as a signature that could discriminate HGSOC patients with AUCs of 0.98 and 1 for the training and test sets, respectively. Furthermore, the above two-miRNA panel had an AUC = 0.946 in the verification cohorts of RT-qPCR data and an AUC = 0.895 using external data from the GEO public database. Thus, the model we developed has the potential to markedly improve the diagnosis of ovarian cancer.

Indexed as

Cystadenocarcinoma, SerousMicroRNAsOvarian NeoplasmsBiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleHumansBiomarkers, TumorMicroRNAsMIR150, humanMIRN1246 microRNA, human

Identifiers

PMID37935712
PMCPMC10630404
OpenAlexW4388463738

What OpenQuestion holds

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LicenceCC BY
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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.