The following data were retrieved and used as covariates in multivariate analyses: age, tumor size, nodal status, expression of estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor 2 (HER2), tumor grade, histological type, local and systemic therapy, survival time, and time until tumor relapse.
In multivariate analyses, however, tumor stage (II III) and nuclear atypia were independent prognostic factors of DSS.
Selection of variables included in nomograms was based on statistical significance of multivariate analyses, and tumor size was also included in the model as continuous variable.
In multivariate analyses, age, tumor location and stage had a significant impact on the proportion with 12 or more examined lymph nodes, whereas the MSI status had no significant impact.> -wrap-foot> The MSI status was successfully determined in 613 patients with solitary tumors who survived for >3 months after an R0-resection.
In multivariate analyses, histological differentiate, tumor site, depth of tumor invasion (pT stage), Lymph-node metastasis (pN stage) were independent prognostic factors for relapse-free survival.
Multivariate analyses revealed that tumor origin (primary lung cancer or metastatic lung tumor, p < 0.001), tumor diameter (p = 0.005), BED10 (p = 0.029) and date of treatment (p = 0.011) were significant independent predictors for LC and that gender (p = 0.012), tumor origin (p = 0.001) and tumor diameter (p < 0.001) were significant independent predictors for OS.
In the multivariate analyses AJCC stage, tumor grade, patient age, race, and gender were all significant.
On univariate and Cox regression multivariate analyses, we determined tumor size to be an independent prognostic factor.
Uni- and multivariate analyses included age, tumor size, grade, ER, and Her2; in multivariate analysis, MammaPrint reached near-significance (HR 3.01; p 0.08).
For univariate and multivariate analyses (adjusted to tumor stage) the Cox's proportional hazard regression model was used to calculate the hazard ratio in the analysis of survival.
