Evidence map›Paper›PMID 39185494›Full record

ArticleOncology letters2024

MicroRNA‑mediated approaches in ovarian cancer therapy: A comprehensive systematic review.

Henny Meitri Andrie Rachmasari Putri, Putri Wikie Novianti, Heru Pradjatmo, Sofia Mubarika Haryana

Abstract read
In one paragraph

Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
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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.

Henny Meitri Andrie Rachmasari PutriDepartment of Obstetrics and Gynecology, Indonesia Army Hospital, Central Jakarta 10410, Indonesia.
Putri Wikie NoviantiSiena Clinical, Central Jakarta 10340, Indonesia.
Heru PradjatmoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Depok, Yogyakarta 55281, Indonesia.
Sofia Mubarika HaryanaDepartment of Histology and Cell Biology, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Depok, Yogyakarta 55281, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) poses a significant health risk to women worldwide, with late diagnoses and chemotherapy resistance leading to high mortality rates. Despite several histological subtypes, the primary challenge remains the subtle nature of its symptoms, resulting in advanced-stage diagnosis and reduced treatment success rates. With platinum-based therapies showing relative efficacy but limited survival enhancements, the emergence of chemotherapy resistance during recurrence remains a critical obstacle. Precision medicine development has aimed to address these challenges in the context of the molecular diversity of OC. The present review explored the landscape of microRNA (miRNA)-mediated approaches in OC treatment. miRNAs have emerged as regulators of gene expression, serving as both oncogenes and tumor suppressors in OC. Dysregulated miRNAs are associated with disease progression and chemotherapy resistance, underscoring their significance in diagnosis and tailored treatment strategies. The present review extracted 295 publications from the PUBMED database. Out of the 73 eligible studies, 55 miRNAs were assessed. A total of three of these miRNAs were not associated with any disease or cancer, whilst eight were associated with OC, albeit also associated with other diseases. The present review encompassed three dimensions: i) The role of miRNAs in treatment efficacy; ii) the use of miRNAs to enhance therapy outcomes; and iii) adjunctive strategies for improved treatment results. Furthermore, it offered insights into potential avenues for improving OC treatment using miRNA-based approaches.

Indexed as

microRNAovarian cancerprecision medicinetargeted therapy

Identifiers

PMID39185494
PMCPMC11342411

What OpenQuestion holds

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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.