Independent predictors of survival identified on multivariate analysis were validated in an independent, stage-matched cohort of 68 patients.
The weighting of EDLIPS points was adjusted based on the multivariate logistic regression analysis in the derivation cohort of 2,000 randomly selected patients and was validated in the remaining (2,361) patients (Table 2).
In our study, a multivariate Cox regression analysis demonstrated that both TNM stage and BRMS1 expression were independent prognostic factors for DMFS and OS in the training set, and this conclusion was validated in the testing and overall patient sets.
The multivariate analysis included the significant independent variables that were validated in the univariate analysis.
The remaining 17 biomarkers that had been validated in the log-rank analysis were included together with tumour stage and grade into the multivariate analysis (MVA).
Although relying on multivariate analysis, there is still room for non-casual associations; hence, these should be validated in other studies.
In multivariate analysis, serum sodium was validated as an independent prognostic factor (P=0.001).
In this cohort B, low serum sodium was validated as an independent prognostic factor for survival in the multivariate analysis (HR 2.98, CI 1.54 5.77, P=0.001) (Table 4b).
However, these findings could not be validated by multivariate analysis.
57B reactivity had a prognostic relevance in univariate analysis, however, it could not be validated as an independent prognostic factor in the multivariate approach.
Sox11 expression was an indicator of favourable prognosis in glioblastomas, which remained in multivariate analysis and validated in an independent set of 72 cases.
