Evidence map›Paper›PMID 41685097›Full record

ReviewMetabolism open2026

Gene and non-coding RNA expression in human cumulus cells in polycystic ovary syndrome: A systematic review.

Faezeh Soheili Azad

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In one paragraph

Review in Metabolism open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Faezeh Soheili AzadDepartment of Cell & Molecular Biology, College of Science, University of Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This systematic review aimed to synthesize and critically appraise human studies on coding and non-coding RNA expression in cumulus cells (CCs) from women with Polycystic Ovary Syndrome (PCOS), to map consistently dysregulated pathways, evaluate links to oocyte competence, and identify key methodological limitations. Methods: A systematic search of five electronic databases (MEDLINE/PubMed, Embase, Web of Science, Scopus, Cochrane CENTRAL) was conducted from inception to October 25, 2025. Peer-reviewed human studies comparing CC RNA expression in PCOS versus controls, with explicit cumulus isolation and primary RNA data, were included. Study selection, quality assessment, and data extraction followed pre-defined analytic prisms focusing on cell-type specificity, oocyte maturation stage, stimulation protocol, and clinical phenotype. A qualitative synthesis was performed due to substantial clinical and methodological heterogeneity. Results: Thirty-three studies were included. The CC transcriptome in PCOS is characterized by a coherent phenotype: pathway-level enrichment of EGFR-MAPK and PI3K-AKT/insulin signaling, an imbalanced TGF-β/oocyte-somatic cell axis, and blunted induction of cumulus expansion/extracellular matrix (ECM) genes (e.g., TNFAIP6, PTX3). Non-coding RNA profiles (miRNAs, lncRNAs, circRNAs) corroborate these findings, targeting the same pathways. These signatures are strongly modified by oocyte maturation stage (largest differences at Germinal Vesicle stage), stimulation protocols, and clinical phenotypes (e.g., insulin resistance, obesity). Conclusion: The cumulus cell phenotype in PCOS reflects a rewired signaling environment that converges on defective matrix assembly, providing a molecular framework for impaired oocyte competence. Future research requires stage-aware, phenotype-stratified designs with standardized reporting to translate these findings into robust biomarkers for assisted reproduction.

Indexed as

Cumulus cellsNon-coding RNAOocyte competencePolycystic ovary syndromeTranscriptome

Identifiers

PMID41685097
PMCPMC12890813

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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.