Investigator
Unknown Institution
Prevalence of high-grade endometrioid endometrial cancer of no specific molecular profile (NSMP): A systematic review and meta-analysis.
Endometrial 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 The pooled prevalence of G3 endometrioid endometrial cancer of NSMP is 29 %. The oncologic outcomes for this molecular subtype seem intermediate, though further refinement and research are needed for a more precise understanding.
PhD
Universidade Nova de Lisboa Faculdade de Ciências Médicas
MD
Universidade de Lisboa Faculdade de Medicina
PT
Scopus: 57191927679
Researcher Id: G-7629-2014