ed-110 has been researched along with Esophageal-Neoplasms* in 1 studies
1 other study(ies) available for ed-110 and Esophageal-Neoplasms
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Tumor length in elderly patients with esophageal squamous cell carcinoma: is it a prognostic factor?
Several researchers have determined the tumor length to be an important prognostic indictor of esophageal cancer (EC). However, controversy exists concerning the optimal cut-off points for tumor length to predict overall survival. The aim of this study was to determine the prognostic value of tumor length and propose the optimum cut-off point for tumor length in predicting survival difference in elderly patients with esophageal squamous cell carcinoma (ESCC).. From January 2001 to December 2009, a retrospective analysis of 132 consecutive patients older than 70 years with ESCC was conducted. A receiver-operating characteristic (ROC) curve for survival prediction was plotted to verify the optimum cut-off point for tumor length. Univariate and multivariate analyses were performed to evaluate prognostic parameters for survival.. A ROC curve for survival prediction was plotted to verify the optimum cut-off point for tumor length, which was 4.0 cm. Patients with tumor length ≤ 4.0 cm had significantly better 5-year survival rate than patients with a tumor length >4.0 cm (60.7% versus 31.6%, P = 0.007). Multivariate analyses showed that tumor length (>4.0 cm versus ≤ 4.0 cm, P = 0.036), differentiation (poor versus well/moderate, P = 0.032), N staging (N1-3 versus N0, P = 0.018), and T grade (T3-4 versus T1-2, P = 0.002) were independent prognostic factors.. Tumor length is a predictive factor for long-term survival in elderly patients with ESCC, especially in T3-4 grade or nodal-negative patients. We conclude that 4.0 cm may be the optimum cut-off point for tumor length in predicting survival in elderly patients with ESCC. Topics: Aged; Carbazoles; Carcinoma, Squamous Cell; China; Esophageal Neoplasms; Esophageal Squamous Cell Carcinoma; Female; Glucosides; Humans; Kaplan-Meier Estimate; Male; Multivariate Analysis; Neoplasm Staging; Prognosis; Retrospective Studies; ROC Curve | 2013 |