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Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2019-03, Vol.22 (2), p.403-412
Prognostic importance of the preoperative modified systemic inflammation score for patients with gastric cancer
Ist Teil von
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2019-03, Vol.22 (2), p.403-412
Ort / Verlag
Singapore: Springer Singapore
Erscheinungsjahr
2019
Quelle
MEDLINE
Beschreibungen/Notizen
Background
The systemic inflammation score (SIS), based on preoperative serum albumin (Alb) level and lymphocyte-to-monocyte ratio (LMR), has been shown to be a novel prognostic score for some tumors. We investigate the prognostic value of the SIS in patients with resectable gastric cancer (GC).
Methods
Patients with GC who underwent curative resection between December 2008 and December 2013 were included. Time-dependent receiver operating characteristics analysis (t-ROC), concordance index (C-index) and AUC were used to compare the prognostic impact.
Results
Totally, 1786 patients with resectable GC were included in the study. By multivariate analysis, the SIS was not an independent prognostic factor. However, the normal Alb level (≥ 40 g/l) and LMR ≥ 3.4 both remained independent protective factors for GC (both
P
< 0.05). Due to the similar survival of patients with LMR ≥ 3.4 and LMR < 3.4 in the normal Alb group, we combined the two subgroups to establish the modified SIS (mSIS). Multivariate analysis revealed that the mSIS was the only significant independent biomarker (
P
< 0.05). The t-ROC curve and C-index for the mSIS were superior to those of the SIS throughout the observation period. Furthermore, the AUC of the mSIS was significantly greater than that of the SIS at 3 and 5 years after operation (both
P
< 0.05).
Conclusion
The preoperative mSIS is a novel, simple and useful prognostic factor for postoperative survival in patients with GC and can be used as a part of the preoperative risk stratification process to improve the prediction of clinical outcomes.