Impact of age and gender on tumor related prognosis in @entity674 ( XXXX ).

@entity1 @entity66 @entity674
BACKGROUND: Risk classification and prediction of prognosis in @entity674 is still a matter of debate. Data on the impact of age and gender as potential confounding factors are limited. Therefore we comprehensively investigated age and gender as independent risk factors for @entity674 . METHODS: Two independent @entity1 cohorts (cohort I, n   =   87 [<50  years]; cohort II, n   =   125 [>= 50  years]) were extracted from the multicentre Ulmer @entity674 registry including a total of 659 @entity674 @entity1 retrospectively collected in 18 collaborative German oncological centers. Based on demographic and clinicopathological parameters and a median follow-up time of 4.3  years (range 0.56; 21.33) @entity66 ( @entity66 ), disease-free-survival (DFS) and overall survival (OS) were calculated. RESULTS: @entity674 @entity1 older than fifty years showed significantly worse @entity66 compared to younger @entity1 (p   =   0.021; HR   =   0.307, 95% CI [0.113; 0.834]). @entity66 was significantly more favorable in younger female @entity674 @entity1 compared with elderly females (p   =   0.008). Female gender resulted again in better prognosis in younger @entity1 (p   =   0.033). CONCLUSIONS: @entity1 age (<50  years) and female gender were significantly associated with a more favourable prognosis in @entity674 . Extended studies are warranted to confirm our clinical results and to elucidate underlying pathophysiological mechanisms.
