Tumour stage and positive nodes were prognostic predictors for oncological outcome.
Both univariate and multiple analysis concerning death or metastasis (Table 5) revealed that tumour stage and nodes were prognostic predictors for oncological outcome.
Based on our results, we advocate RC and lymphadenectomy in the elderly patients, since the 5-year survival rate in our series was significantly high (62.3%) and tumour stage and node status were prognostic predictors for the oncological outcome.
Univariate analysis showed that tumor size (≤10, > 10 cm), mitosis count (≤10, > 10/50 HPF) and serosal invasion were prognostic predictors for RFS both in the test and validation cohort.
Since the aforementioned factors were prognostic predictors or independently unfavorable prognostic factors for RFS of GIST patients, the further study was focused on whether these factors can sub-divide high-risk GIST patients and improve the AUC of the ROC curve for prognostic indicator.
Thus, these two biomarkers might be independent prognostic predictors for this subgroup of NSCLC patients.
Our analyses confirm that the IHC4 and Mammostrat scores are strong prognostic predictors for TTDR, but this is restricted to the first 5 years after diagnosis.
Both measures were acceptable prognostic predictors for diabetes, CRF, and CABG in outcome research and performed similarly.
In addition, the multivariate Cox regression analysis showed that clinical stage, T classification, and AEG-1 expression were independent prognostic predictors for PDAC (Table 3).
Moreover, the multivariate Cox regression analysis showed that clinical stage, T classification, and AEG-1 expression were independent prognostic predictors for PDAC.
