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In multivariate analysis, stage and stromal MMP-1 expression were significantly related to overall survival.
In multivariate analysis, stage, lactate dehydrogenase, and NLR at diagnosis were independent prognostic factors for OS and PFS.
In multivariate analysis, stage, ratio of positive to removed lymph nodes, and EGFR expression were significant prognostic factors for overall survival.
On multivariate analysis, stage (P<0.001), the GPS (P<0.001, Figure 2) and treatment (P<0.01) were significant independent predictors of cancer-specific survival.
In the multivariate analysis, stage, total CDDP dose, N classification, and WHO histological classification had significant impacts on the DMF rate.
In multivariate analysis, stage grouping, performance status, histology, leucocytes, lymphocytes, lactate dehydrogenase, CYFRA 21-1 and SCS were independent determinants of a poor prognosis.
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In multivariate analysis only stage S remained significant: a stage S0 patient at baseline has 2.4 (CI 95%: 1.2 5.0) more chance of KS remission during the first 6 months of follow-up than a stage S1 patient.
According to multivariate analysis, early stages (Masaoka-Koga stage I or II) and advanced stages (IVa or IVb) of both thymomas and thymic carcinomas correlated significantly with survival (Table 3).
The multivariate analysis including stage, age and menopausal status showed that stage was the only independent prognostic factor (HR, 2.15; P < 0.01).
In a multivariate analysis, disease stage was the most important prognostic variable and, after allowing for stage, only CA125 was a significant independent predictor of treatment outcome.
In multivariate analysis including stage, grading, nodal status, histological type and ALCAM expression, only advanced stage and nodal involvement turned out as significant indicators of shorter DFS and CSS (Additional file 2).
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