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Prevalence of high-grade endometrioid endometrial cancer of no specific molecular profile (NSMP): A systematic review and meta-analysis

2026-01Artigo de revisão Acesso embargado
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dc.contributor.authorCasanova, João
dc.contributor.authorRamos, Ana Sofia
dc.contributor.authorCosta, Ana Gomes da
dc.contributor.authorBabiciu, Alexandru
dc.contributor.authorSerra, Sofia Silvério
dc.contributor.authorMoutinho, Filipa
dc.contributor.authorCosta, Teresa
dc.contributor.authorTripepi, Marta
dc.contributor.authorAbu-Rustum, Nadeem R.
dc.contributor.authorMartins, João Paulo
dc.contributor.authorLima, Jorge
dc.contributor.authorOliveira Martins, João Paulo
dc.date.accessioned2026-07-14T09:57:55Z
dc.date.available2026-07-14T09:57:55Z
dc.date.issued2026-01
dc.description.abstractEndometrial cancer of no specific molecular profile (NSMP) represents the most prevalent molecular subtype of endometrial cancer, comprising over 50 % of all diagnoses. Although studies have explored the prevalence of the NSMP subtype, to our knowledge, no systematic review or meta-analysis has specifically targeted grade 3 (G3, high-grade) tumors. We aimed to determine the prevalence of G3 endometrioid endometrial cancer of NSMP and assess regional variations in this prevalence. We also sought to synthesize available data concerning oncologic outcomes, including overall survival, progression-free survival, and disease-specific survival. We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (PROSPERO No: CRD42024544247). We searched the electronic databases: PubMed/Medline, Scopus, Web of Science, Cochrane Library, and EMBASE. To estimate the overall prevalence of the NSMP subtype, we performed a meta-analysis using the proportions method with the Freeman-Tukey (arcsine) transformation. For estimating oncologic outcomes, we conducted a meta-analysis using hazard ratios (HRs) when available. In the absence of HRs, we utilized Kaplan-Meier curves. All pooled estimates and their corresponding 95% confidence intervals (CIs) were calculated using a random-effects model with the inverse variance method and restricted maximum likelihood estimator. We analyzed 31 studies, encompassing 2,660 patients. The pooled prevalence of NSMP within G3 endometrioid endometrial cancer was 0.29 (95 %CI: 0.23–0.34, I 2 = 80.8 %). This prevalence was highest in North America (0.43, 95 %CI: 0.17–0.71) and lowest in Europe (0.23, 95 %CI: 0.19–0.28). The random-effects pooled estimate indicated that the NSMP subtype was associated with intermediate oncologic outcomes compared to other molecular subtypes.eng
dc.description.sponsorshipNational Cancer Institute/National Institutes of Health Cancer Center Support Grant (P30 CA008748)
dc.identifier.citationCasanova, J., Ramos, A. S., Babiciu, A., Moutinho, F., Tripepi, M., da Costa, A. G., Serra, S. S., Costa, T., Abu-Rustum, N. R., Martins, J., & Lima, J. (2026). Prevalence of high-grade endometrioid endometrial cancer of no specific molecular profile (NSMP): A systematic review and meta-analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology, 316, 114794. https://doi.org/10.1016/j.ejogrb.2025.114794
dc.identifier.doi10.1016/j.ejogrb.2025.114794
dc.identifier.eissn1872-7654
dc.identifier.issn0301-2115
dc.identifier.urihttp://hdl.handle.net/10400.22/32589
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S030121152501070X?via%3Dihub
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectEndometrial cancer
dc.subjectEndometrioid
dc.subjectHigh-grade
dc.subjectMeta-analysis
dc.subjectNSMP
dc.subjectPrevalence
dc.subjectSystematic review
dc.titlePrevalence of high-grade endometrioid endometrial cancer of no specific molecular profile (NSMP): A systematic review and meta-analysiseng
dc.typereview article
dspace.entity.typePublication
oaire.citation.titleEuropean Journal of Obstetrics & Gynecology and Reproductive Biology
oaire.citation.volume316
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira Martins
person.givenNameJoão Paulo
person.identifier955929
person.identifier.ciencia-id6913-C065-48FF
person.identifier.orcid0000-0002-0474-1397
person.identifier.scopus-author-id55838096100
relation.isAuthorOfPublication9d1f7388-bb3e-4f1d-bf41-08a589b1d6a8
relation.isAuthorOfPublication.latestForDiscovery9d1f7388-bb3e-4f1d-bf41-08a589b1d6a8

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