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Surgical resection for hepatic metastasis from gastric cancer: a multi- institution study.
Oncotarget 2017 September 20
BACKGROUND: The beneficial effect of surgical resection for hepatic metastasis from gastric cancer (HMGC) remains elusive. This study was conducted to analyze surgical outcomes of HMGC and determine the prognostic factors associated with survival.
RESULTS: The in-hospital mortality rate was zero, and the overall morbidity rate was 56%. The overall 1-, 3-, and 5-year survival rate after surgery was 87.5%, 47.6%, and 21.7%, respectively, with a median survival time of 34.0 months. Multiple liver metastases (hazard ratio [HR] =1.998; 95% confidence interval [CI] = 1.248-3.198; P = 0.004) and ≥ T3 stage of the primary gastric cancer (HR = 2.065; 95% CI = 1.201-3.549; P = 0.009) were independent prognostic determinants in the multivariate analysis.
MATERIALS AND METHODS: Data on surgical resection of 96 patients with HMGC at six institutions in China were analysed retrospectively. Prognostic factors were assessed by multiple stepwise regression analysis using the Cox model.
CONCLUSIONS: Surgical resection for HMGC is feasible and beneficial to long-term survival in selected patients.
RESULTS: The in-hospital mortality rate was zero, and the overall morbidity rate was 56%. The overall 1-, 3-, and 5-year survival rate after surgery was 87.5%, 47.6%, and 21.7%, respectively, with a median survival time of 34.0 months. Multiple liver metastases (hazard ratio [HR] =1.998; 95% confidence interval [CI] = 1.248-3.198; P = 0.004) and ≥ T3 stage of the primary gastric cancer (HR = 2.065; 95% CI = 1.201-3.549; P = 0.009) were independent prognostic determinants in the multivariate analysis.
MATERIALS AND METHODS: Data on surgical resection of 96 patients with HMGC at six institutions in China were analysed retrospectively. Prognostic factors were assessed by multiple stepwise regression analysis using the Cox model.
CONCLUSIONS: Surgical resection for HMGC is feasible and beneficial to long-term survival in selected patients.
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