Evidence mapPaperPMID 39830525Full record

ArticleBiochemistry and biophysics reports2025

Exploring miRNA profile associated with cisplatin resistance in ovarian cancer cells.

Yaman Alghamian, Chadi Soukkarieh, Abdulmunim Aljapawe, Hossam Murad

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

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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

2 citing papers in PubMed.

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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

4 authors.

Yaman AlghamianDepartment of Animal Biology, Faculty of Sciences, Damascus University, Syria.
Chadi SoukkariehDepartment of Animal Biology, Faculty of Sciences, Damascus University, Syria.
Abdulmunim AljapaweDepartment of Molecular and Biotechnology, Atomic Energy Commission of Syria (AECS), Syria.
Hossam MuradDepartment of Molecular and Biotechnology, Atomic Energy Commission of Syria (AECS), Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a common and lethal malignancy among women, whereas chemoresistance is one of the major challenges to its treatment and prognosis. Chemoresistance is a multifactorial phenomenon, involving various mechanisms that collectively modify the cell's response to treatment. Among the changes that arise in cells after acquiring chemoresistance is miRNA dysregulation. Here, this study aimed to identify miRNAs expression changes related to cisplatin resistance in ovarian cancer cells. The miRNA expression profiles of a cisplatin-sensitive A2780 cell line and two cisplatin-resistant cell lines, A2780cis and SK-OV-3, were analyzed using PCR array and qPCR. Accordingly, the miRNAs that were differentially expressed were further investigated to identify their biological functions and the target pathways using Gene Ontology (GO) annotation and KEGG pathway analyses. In order to evaluate the clinical significance of the differentially expressed miRNAs, survival analysis was carried out using expression data for ovarian cancer patients available in the Kaplan-Meier (KM) plotter database. The current work demonstrates that Nine miRNAs were found to be upregulated in cells resistant to cisplatin. Clearly, these miRNAs have functions in cell death/survival related processes and treatment response. They may also target pathways involved in treatment response like PI3K-Akt, pathway in cancer and MAPK. Interestingly, High expression of hsa-miR-133b, hsa-miR-512-are, hsa-miR-200b-3p, and hsa-miR-451a is related to poor overall survival in patients diagnosed with ovarian cancer. Our findings suggest that hsa-miR-133b, hsa-miR-512-5p, hsa-miR-200b-3p, and hsa-miR-451a are good candidates for future studies aimed to establishing functional links and exploring therapeutic interventions to overcome cisplatin resistance.

Indexed as

ChemoresistanceCisplatinGene ontologymiRNAOvarian cancerPathway analysisSurvival analysis

Identifiers

PMID39830525
PMCPMC11741906

What Socratic holds

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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 Socratic graph.