Bin-Bin Xu1,2,3, Jun Lu1,2,3, Zhi-Fang Zheng1,2,3, Jian-Wei Xie1,2,3, Jia-Bin Wang1,2,3, Jian-Xian Lin1,2,3, Qi-Yue Chen1,2,3, Long-Long Cao1,2,3, Mi Lin1,2,3, Ru-Hong Tu1,2,3, Ze-Ning Huang1,2,3, Ju-Li Lin1,2,3, Chao-Hui Zheng4,5,6, Chang-Ming Huang7,8,9, Ping Li10,11,12. 1. Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. 2. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China. 3. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian, China. 4. Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. wwkzch@163.com. 5. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China. wwkzch@163.com. 6. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian, China. wwkzch@163.com. 7. Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. hcmlr2002@163.com. 8. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China. hcmlr2002@163.com. 9. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian, China. hcmlr2002@163.com. 10. Department of Gastric Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. pingli811002@163.com. 11. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China. pingli811002@163.com. 12. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian, China. pingli811002@163.com.
Abstract
BACKGROUND: The definition and predictors of early recurrence (ER) for gastric cancer (GC) patients after radical gastrectomy are unclear. METHODS: A minimum-p value approach was used to evaluate the optimal cutoff value of recurrence-free survival to determine ER and late recurrence (LR). Receiver operating characteristic curves were generated for inflammatory indices. Potential risk factors for ER were assessed with a Cox regression model. A decision curve analysis was performed to evaluate the clinical utility. RESULTS: A total of 401 patients recruited in a clinical trial (NCT02327481) from January 2015 to April 2016 were included in this study. The optimal length of recurrence-free survival to distinguish between ER (n = 44) and LR (n = 52) was 12 months. Factors associated with ER included a preoperative C-reactive protein-albumin ratio (CAR) ≥ 0.131, stage III and postoperative adjuvant chemotherapy (PAC) > 3 cycles. The risk model consisting of both the CAR and TNM stage had a higher predictive ability and better clinical utility than TNM stage alone. Further stratification analysis of the stage III patients found that for the patients with a CAR < 0.131, both PAC with 1-3 cycles (p = 0.029) and > 3 cycles (p < 0.001) could reduce the risk of ER. However, for patients with a CAR ≥ 0.131, a benefit was observed only if they received PAC > 3 cycles (54.2% vs 16.0%, p = 0.004), rather than 1-3 cycles (58.3% vs 54.2%, p = 0.824). CONCLUSIONS: A recurrence-free interval of 12 months was found to be the optimal threshold for differentiating between ER and LR. Preoperative CAR was a promising predictor of ER and PAC response. PAC with 1-3 cycles may not exert a protective effect against ER for stage III GC patients with CAR ≥ 0.131.
BACKGROUND: The definition and predictors of early recurrence (ER) for gastric cancer (GC) patients after radical gastrectomy are unclear. METHODS: A minimum-p value approach was used to evaluate the optimal cutoff value of recurrence-free survival to determine ER and late recurrence (LR). Receiver operating characteristic curves were generated for inflammatory indices. Potential risk factors for ER were assessed with a Cox regression model. A decision curve analysis was performed to evaluate the clinical utility. RESULTS: A total of 401 patients recruited in a clinical trial (NCT02327481) from January 2015 to April 2016 were included in this study. The optimal length of recurrence-free survival to distinguish between ER (n = 44) and LR (n = 52) was 12 months. Factors associated with ER included a preoperative C-reactive protein-albumin ratio (CAR) ≥ 0.131, stage III and postoperative adjuvant chemotherapy (PAC) > 3 cycles. The risk model consisting of both the CAR and TNM stage had a higher predictive ability and better clinical utility than TNM stage alone. Further stratification analysis of the stage III patients found that for the patients with a CAR < 0.131, both PAC with 1-3 cycles (p = 0.029) and > 3 cycles (p < 0.001) could reduce the risk of ER. However, for patients with a CAR ≥ 0.131, a benefit was observed only if they received PAC > 3 cycles (54.2% vs 16.0%, p = 0.004), rather than 1-3 cycles (58.3% vs 54.2%, p = 0.824). CONCLUSIONS: A recurrence-free interval of 12 months was found to be the optimal threshold for differentiating between ER and LR. Preoperative CAR was a promising predictor of ER and PAC response. PAC with 1-3 cycles may not exert a protective effect against ER for stage III GC patients with CAR ≥ 0.131.
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