Background: In 2013, The Cancer Genome Atlas Research Network suggested that endometrial carcinoma patients may be reclassified into four molecular prognostic groups.
Objective: To compare survival of endometrial carcinoma patients with different mutational profiles.
Search Strategy: Studies reporting survival of endometrial carcinoma patients were identified through systematic searches of four databases.
Selection Criteria: We included relevant studies based on the literature type, data integrity and the methodological quality.
Data Collection And Analysis: The pooled survival data were compared among patients with different mutational profiles. Heterogeneity in the pooled data was assessed using the I statistic.
Main Results: Data were meta-analyzed from nine studies involving 4755 patients, who were classified into the following mutational profiles: p53abn, 745 patients (15.6%); MMRd, 1454 patients (30.6%); POLEmut, 351 patients (7.4%); and p53wt, 2205 patients (46.4%). Compared to the p53wt group, the p53abn group showed significantly worse overall survival (OS) (HR 2.31, 95% CI: 1.67-3.19), progression-free survival (PFS) (HR 2.86, 95% CI: 1.45-5.64) and disease-specific survival (HR 2.60, 95% CI: 1.41-4.79); and the MMRd group showed significantly worse OS (HR 1.30, 95% CI: 1.11-1.53) and PFS (HR 1.27, 95% CI: 1.01-1.59). The POLEmut group, in contrast, showed similar survival as the p53wt group.
Conclusions: The four mutational profiles for patients with endometrial carcinoma in the Cancer Genome Atlas for Endometrial Cancer are associated with worse to better survival in the trend: p53abn < MMRd < POLEmut ≈ p53wt. Mutational profiling may be useful for stratifying endometrial carcinoma patients by survival risk, which in turn may improve their management.
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http://dx.doi.org/10.1002/ijgo.16157 | DOI Listing |
Cancer Invest
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Psychology Department, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Ribeirão Preto-SP, Brazil.
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College of Food Sciences, Al-Qasim Green University, Babylon, Iraq.
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Departmental Unit of Molecular and Genomic Diagnostics, Genomics Core Facility, G-STeP, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
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