@entity124 and ploidy status define three categories with distinctive prognostic impact in XXXX .

@entity1204 @entity2007 @entity124 @entity28 @entity5
@entity124 ( @entity124 ) and @entity2007 are inversely related phenomena. We tested whether ploidy status influences the clinical impact of @entity124 in @entity1204 ( @entity1204 ). We analyzed 167 EECs for @entity124 and ploidy. @entity5 were classified in three categories according to @entity124 and ploidy status. Associations with clinicopathological and molecular variables, survival, and treatment response were assessed. All @entity5 (23%) were scored as diploid, and 14% of microsatellite stable (MSS) @entity5 presented @entity2007 . @entity5 associated with older age at diagnosis, @entity28 , high histological grade, and advanced surgical stage. @entity5 also associated with higher grade and advanced stage. In multivariate survival analysis @entity124 did not influence disease-free survival (DFS) or @entity5 -specific survival (CSS). However, when just @entity5 were considered for the analysis, @entity124 significantly contributed to worse DFS and CSS, and the same was observed for @entity2007 when @entity5 were analyzed alone. In @entity5 , a differential response to postoperative radiotherapy (RT) was observed according to @entity124 , since it predicted poor DFS and CSS in the multivariate analysis. We conclude that ploidy status influences the clinical impact of @entity124 in @entity1204 . Among @entity5 those with @entity124 have poor clinical outcome and respond worse to RT.
