A clinical prognostic scoring system for resectable gastric cancer to predict survival and benefit from paclitaxel or oxaliplatin based adjuvant chemotherapy
Background Gastrectomy with D2 lymphadenectomy is a standard procedure of curative resection for gastric cancer (GC) The aim of this study was to develop a simple and reliable prognostic scoring system for GC treated with D2 gastrectomy combined with adjuvant chemotherapy. Methods A prognostic scoring system was established based on clinical and laboratory data from 579 patients with localized GC without distant metastasis treated with D2 gastrectomy and adjuvant chemotherapy. Results From the multivariate model for overall survival (OS) five factors were selected for the scoring system: =50% metastatic lymph node rate, positive lymphovascular invasion, pathologic TNM Stage II or III, =5 ng/mL preoperative carcinoembryonic antigen level, and <110 g/L preoperative hemoglobin. Two models were derived using different methods. Model A identified low and high risk patients for OS (P<0.001) while Model B differentiated low intermediate and high risk patients for OS (P<0.001) Stage III patients in the low risk group had higher survival probabilities than Stage II patients. Both Model A (area under the curve [AUC] 0.74, 95% confidence interval [CI] 0.69 0.78) and Model B (AUC: 0.79, 95% CI: 0.72 0.83) were better predictors compared with the pathologic TNM classification (AUC: 0.62, 95% CI: 0.59 0.71, P<0.001) Adjuvant paclitaxel or oxaliplatin based or triple chemotherapy showed significantly better outcomes in patients classified as high risk, but not in those with low and intermediate risk. Conclusion A clinical three tier prognostic risk scoring system was established to predict OS of GC treated with D2 gastrectomy and adjuvant chemotherapy. The potential advantage of this scoring system is that it can identify high risk patients in Stage II or III who may benefit from paclitaxel or oxaliplatin based regimens. Prospective studies are needed to confirm these results before they are applied clinically.
Drug design, development and therapy