Evidence map›Paper›PMID 41585943›Full record

ArticleThe journal of liquid biopsy2026

Tissue expression of miR-504-5p and miR-429 as diagnostic biomarkers for endometrial cancer and endometrial intraepithelial neoplasia: a pilot study.

A Manzi, C De Luca, F Conticelli, B Zizolfi, M Guida, G Troncone, A Di Spiezio Sardo, M C De Angelis

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Article in The journal of liquid biopsy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

A ManziDepartment of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.
C De LucaDepartment of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.
F ConticelliDepartment of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.
B ZizolfiDepartment of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.
M GuidaDepartment of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.
G TronconeDepartment of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.
A Di Spiezio SardoDepartment of Public Health, School of Medicine, University of Naples Federico II, Naples, Italy.
M C De AngelisDepartment of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Endometrial cancer (EC) is the sixth most frequent female malignancy worldwide. Atypical endometrial hyperplasia (AEH), also termed endometrial intraepithelial neoplasia (EIN), represents the recognized precursor lesion. While hysteroscopy with biopsy remains the diagnostic gold standard, the lack of non-invasive biomarkers for early detection and follow-up is a major clinical limitation. MicroRNAs (miRNAs), small non-coding RNAs regulating gene expression, have emerged as potential diagnostic and prognostic tools in gynecological oncology. Objective: We aimed to determine the accuracy of the predictive value of a selected panel of miRNAs (miR-504-5p and miR-429) obtained on endometrial samples, in detecting EC and EIN, and to explore their role along the neoplastic continuum. Methods: A prospective observational study was conducted at the University of Naples "Federico II." Thirty-seven patients were enrolled: EC (n = 15), EIN (n = 15), and controls with normal endometrium (n = 7). All underwent hysteroscopy with grasp biopsy or "Visual D&C." Formalin-fixed paraffin-embedded samples were processed for RNA extraction, and miRNA expression was analyzed by RT-PCR (Taqman Advanced miRNA Assays). Results: Both miRNAs were successfully amplified in most cases. In EC, miR-504-5p was detected in 93.3 % and miR-429 in 100 % of samples, with mean Ct values of 32.2 and 29.7, respectively. AEH showed intermediate expression (93.3 % and 86.7 % detection rates; mean Ct 28.3 and 29.8). Normal endometrium displayed the highest expression (100 % and 85.7 %; mean Ct 25.5 and 26.8). A progressive downregulation of both miRNAs from normal tissue to AEH and EC was observed. Conclusion: Our preliminary findings suggest that reduced expression of miR-504-5p and miR-429 characterizes the transition from EIN to EC, supporting their potential role as tumor suppressors in this setting. This two-miRNA panel could complement histopathology in distinguishing precursor lesions from carcinoma, addressing a key diagnostic challenge. Larger studies, including minimally invasive liquid biopsy approaches, are warranted to validate their clinical utility.

Indexed as

Diagnostic biomarkerEndometrial cancerEndometrial intraepithelial neoplasiaHysteroscopic biopsymiR-429miR-504-5p

Identifiers

PMID41585943
PMCPMC12828831

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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.