Evidence map›Paper›PMID 36909377›Full record

ArticleOncology letters2023

Metabolic pathways of potential miRNA biomarkers derived from liquid biopsy in epithelial ovarian cancer.

Ece Gumusoglu-Acar, Tuba Gunel, Mohammad Kazem Hosseini, Berkcan Dogan, Efnan Elif Tekarslan, Berk Gurdamar, Nazife Cevik, Ugur Sezerman, Samet Topuz, Kilic Aydinli

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Article in Oncology letters, 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
–field-weighted citation impact
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.

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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

10 authors.

Ece Gumusoglu-AcarDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Tuba GunelDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Mohammad Kazem HosseiniDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Berkcan DoganDepartment of Medical Genetics, Faculty of Medicine, Bursa Uludag University, 16059 Bursa, Turkey.
Efnan Elif TekarslanDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Berk GurdamarDepartment of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Turkey.
Nazife CevikComputer Engineering Department, Engineering and Architecture Faculty, Istanbul Arel University, 34537 Istanbul, Turkey.
Ugur SezermanDepartment of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34752 Istanbul, Turkey.
Samet TopuzDepartment of Obstetrics and Gynecology, Istanbul Medical Faculty, Istanbul University, 34093 Istanbul, Turkey.
Kilic AydinliMedicus Health Center, 34365 Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is the type of OC with the highest mortality rate. Due to the asymptomatic nature of the disease and few available diagnostic tests, it is mostly diagnosed at the advanced stage. Therefore, the present study aimed to discover predictive and/or early diagnostic novel circulating microRNAs (miRNAs or miRs) for EOC. Firstly, microarray analysis of miRNA expression levels was performed on 32 samples of female individuals: Eight plasma samples from patients with pathologically confirmed EOC (mean age, 45 (30-54) years), eight plasma samples from matched healthy individuals (HIs) (mean age, 44 (30-65) years), eight EOC tissue samples (mean age, 45 (30-54) years) and eight benign ovarian (mean age, 35 (17-70) years) neoplastic tissue samples A total of 31 significantly dysregulated miRNAs in serum and three miRNAs in tissue were identified by microarray. The results were validated using reverse transcription-quantitative PCR on samples from 10 patients with pathologically confirmed EOC (mean age, 47(30-54) years), 10 matched His (mean age, 40(26-65) years], 10 EOC tissue samples (mean age, 47(30-54) years) and 10 benign ovarian neoplastic tissue samples (mean age, 40(17-70) years). The 'Kyoto Encyclopedia of Genes and Genomes' (KEGG) database was used for target gene and pathway analysis. A total of three miRNAs from EOC serum (hsa-miR-1909-5p, hsa-miR-885-5p and hsa-let-7d-3p) and one microRNA from tissue samples (hsa-miR-200c-3p) were validated as significant to distinguish patients with EOC from HIs. KEGG pathway enrichment analysis showed seven significant pathways, which included 'prion diseases', 'proteoglycans in cancer', 'oxytocin signaling pathway', 'hippo signaling pathway', 'adrenergic signaling in cardiomyocytes', 'oocyte meiosis' and 'thyroid hormone signaling pathway', in which the validated miRNAs served a role. This supports the hypothesis that four validated miRNAs, have the potential to be a biomarker of EOC diagnosis and target for treatment.

Indexed as

biomarkersDIANA-miRPathEOCKEGGliquid biopsymiRNA

Identifiers

PMID36909377
PMCPMC9996378

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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.