Jian-Xian Lin1,2,3,4, Zu-Kai Wang1,2, Ying-Qi Huang1,2, Jian-Wei Xie1,2,3,4, Jia-Bin Wang1,2,3,4, Jun Lu1,2, Qi-Yue Chen1,2, Mi Lin1,2, Ru-Hong Tu1,2, Ze-Ning Huang1,2, Ju-Li Lin1,2, Chao-Hui Zheng5,6,7,8, Chang-Ming Huang9,10,11,12, Ping Li13,14,15,16. 1. Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. 2. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. 3. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China. 4. Fujian Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, Fujian Province, China. 5. Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. wwkzch@163.com. 6. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. wwkzch@163.com. 7. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China. wwkzch@163.com. 8. Fujian Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, Fujian Province, China. wwkzch@163.com. 9. Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. hcmlr2002@163.com. 10. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. hcmlr2002@163.com. 11. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China. hcmlr2002@163.com. 12. Fujian Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, Fujian Province, China. hcmlr2002@163.com. 13. Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. pingli811002@163.com. 14. Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. pingli811002@163.com. 15. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China. pingli811002@163.com. 16. Fujian Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, Fujian Province, China. pingli811002@163.com.
Abstract
BACKGROUND: Whether the change of the pre- and postoperative systemic inflammatory response (SIR) levels will affect the prognosis of gastric cancer (GC) is unclear. We aimed to investigate the dynamic changes in the pre- and postoperative SIR and their prognostic value for GC. METHODS: The clinicopathological data from 2257 patients who underwent radical gastrectomy between January 2009 and December 2014 at Fujian Medical University Union Hospital (FMUUH) were analyzed. Perioperative SIR changes were reported as changes in the lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). RESULTS: The SIR levels showed different trends from postoperative months 1 to 12. Multivariate analysis showed that preoperative (pre)-LMR was an independent predictor for the prognosis (P = 0.024). The postoperative 12-month (post-12-month) LMR predicted the 5-year overall survival (OS) rate with the highest accuracy (areas under the curve [AUC] 0.717). Patients were divided into four groups according to the optimal cutoff of the preoperative and post-12-month LMR: high pre-LMR to high postoperative (post)-LMR group, high pre-LMR to low post-LMR group, low pre-LMR to high post-LMR group, and low pre-LMR to low post-LMR group. The survival analysis showed 5-year OS rate was significantly higher in patients with high post-12-month LMR than in patients with low post-12-month LMR, regardless of pre-LMR levels (81.6% vs. 44.2%, P < 0.001). The prognostic accuracy was significantly improved by incorporating the post-12-month LMR in the tumor-node-metastasis (TNM) staging system (P = 0.003). CONCLUSIONS: The remeasurement of LMR at post-12-month is helpful in predicting the long-term survival of GC.
BACKGROUND: Whether the change of the pre- and postoperative systemic inflammatory response (SIR) levels will affect the prognosis of gastric cancer (GC) is unclear. We aimed to investigate the dynamic changes in the pre- and postoperative SIR and their prognostic value for GC. METHODS: The clinicopathological data from 2257 patients who underwent radical gastrectomy between January 2009 and December 2014 at Fujian Medical University Union Hospital (FMUUH) were analyzed. Perioperative SIR changes were reported as changes in the lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). RESULTS: The SIR levels showed different trends from postoperative months 1 to 12. Multivariate analysis showed that preoperative (pre)-LMR was an independent predictor for the prognosis (P = 0.024). The postoperative 12-month (post-12-month) LMR predicted the 5-year overall survival (OS) rate with the highest accuracy (areas under the curve [AUC] 0.717). Patients were divided into four groups according to the optimal cutoff of the preoperative and post-12-month LMR: high pre-LMR to high postoperative (post)-LMR group, high pre-LMR to low post-LMR group, low pre-LMR to high post-LMR group, and low pre-LMR to low post-LMR group. The survival analysis showed 5-year OS rate was significantly higher in patients with high post-12-month LMR than in patients with low post-12-month LMR, regardless of pre-LMR levels (81.6% vs. 44.2%, P < 0.001). The prognostic accuracy was significantly improved by incorporating the post-12-month LMR in the tumor-node-metastasis (TNM) staging system (P = 0.003). CONCLUSIONS: The remeasurement of LMR at post-12-month is helpful in predicting the long-term survival of GC.
Authors: David Cunningham; William H Allum; Sally P Stenning; Jeremy N Thompson; Cornelis J H Van de Velde; Marianne Nicolson; J Howard Scarffe; Fiona J Lofts; Stephen J Falk; Timothy J Iveson; David B Smith; Ruth E Langley; Monica Verma; Simon Weeden; Yu Jo Chua Journal: N Engl J Med Date: 2006-07-06 Impact factor: 91.245
Authors: Sabine Schiefer; Naita Maren Wirsik; Eva Kalkum; Svenja Elisabeth Seide; Henrik Nienhüser; Beat Müller; Adrian Billeter; Markus W Büchler; Thomas Schmidt; Pascal Probst Journal: Diagnostics (Basel) Date: 2022-02-25