Evidence map›Paper›PMID 40813689›Full record

ReviewJournal of ovarian research2025

Signaling networks and MiRNA crosstalk in ovarian cancer chemoresistance.

Raksha Nayak, Samyak Pandey, Dileep Kumar, Sachindra Kumar, K Sreedhara Ranganath Pai

Abstract readReview
In one paragraph

Review in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. [Role of programmed cell death in platinum resistance in ovarian cancer].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  4. Simvastatin Restores Cisplatin Sensitivity by Suppressing the Caveolin-1-Mediated PI3K/AKT Signaling Pathway in Cisplatin-Resistant Cervical Cancer Cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  5. Article
  6. Review
  7. Review
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

5 authors.

Raksha NayakDepartment of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, India.
Samyak PandeyDepartment of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, India.
Dileep KumarDepartment of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Sachindra KumarDepartment of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, India.
K Sreedhara Ranganath PaiDepartment of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, India. ksr.pai@manipal.edu.ORCID http://orcid.org/0000-0002-2017-9533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC), accounting for 90-95% of all ovarian cancer (OC) cases, is the most lethal gynaecological malignancy, primarily due to late-stage diagnosis and the development of chemoresistance. While initial responses to Platinum- and Taxane-based chemotherapy are favorable, nearly 70% of patients relapse within five years. Although signaling pathways such as PI3K/AKT, MAPK, NF-κB, Notch, and Wnt/β-catenin have been individually studied in the context of chemoresistance, recent evidence highlights the importance of dynamic feedback loops and crosstalk among these networks in sustaining the resistant phenotype. Moreover, dysregulated microRNAs (miRNAs), as post-transcriptional regulators, fine-tune these pathways, creating self-sustaining circuits that promote drug efflux, inhibit apoptosis, and maintain cancer stemness. Reciprocal regulation between miRNAs and signaling components establishes robust networks that amplify chemoresistant phenotypes. The review provides a comprehensive overview of the molecular mechanisms driving chemoresistance, emphasising critical elements of signalling pathways and associated miRNAs that contribute to resistance and may function as biomarkers or therapeutic targets to mitigate chemoresistance. To improve clinical outcomes, future research should focus on identifying resistance-associated miRNA signatures and targeting nodal points within miRNA-signaling networks, thereby enabling the development of personalized therapies to overcome drug resistance in EOC.

Indexed as

Drug Resistance, NeoplasmMicroRNAsOvarian NeoplasmsSignal TransductionAntineoplastic AgentsCarcinoma, Ovarian EpithelialFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansAntineoplastic AgentsMicroRNAsChemotherapyDrug resistanceMiRNAOvarian cancerRecurrenceSignaling pathwayTumorigenesis

Identifiers

PMID40813689
PMCPMC12355860

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.