Published in:
01-08-2021 | Gastric Cancer | Original Scientific Report
Accurate Prediction of Prognosis After Radical Resection of Gastric Cancer by the Modified Systemic Inflammation Score; a Multicenter Dataset Analysis
Authors:
Kota Inagaki, Mitsuro Kanda, Koki Nakanishi, Seiji Ito, Yoshinari Mochizuki, Hitoshi Teramoto, Kiyoshi Ishigure, Toshifumi Murai, Takahiro Asada, Akiharu Ishiyama, Hidenobu Matsushita, Chie Tanaka, Daisuke Kobayashi, Michitaka Fujiwara, Kenta Murotani, Yasuhiro Kodera
Published in:
World Journal of Surgery
|
Issue 8/2021
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Abstract
Background
The presence of chronic inflammation and nutritional status in cancer patients affects its prognosis. There is a clinical need for a prognostic predictor that is objective and accurate, and that can be easily evaluated by preoperative screening. We evaluated the importance and usefulness of the preoperative modified systemic inflammation score (mSIS) to predict the long-term outcome of patients undergoing curative resection for gastric cancer (GC).
Methods
Of the 3571 patients who underwent curative resection for GC in nine institutions between January 2010 and December 2014, 1764 patients who met the inclusion criteria were included. The mSIS was formulated according to the serum albumin level (ALB) and lymphocyte-to-monocyte ratio (LMR) as follows: mSIS 0 (ALB ≥ 4.0 g/dL and LMR ≥ 3.4), mSIS 1 (ALB < 4.0 g/dL or LMR < 3.4), and mSIS 2 (ALB < 4.0 g/dL and LMR < 3.4).
Results
Patients were categorized into preoperative mSIS 0 (n = 955), mSIS 1 (n = 584), and mSIS 2 (n = 225) groups. The overall survival times and the disease-free survival times of patients in preoperative mSIS 0,1 and 2 sequentially shortened (P < 0.0001), and mSIS 1 and 2 were identified as an independent prognostic factor (hazard ratio [HR] 1.35, 95% confidence interval [CI] 1.06–1.272, P = 0.0125 and HR 1.63, 95% CI 1.21–2.19, P = 0.0012). A stepwise increase in the prevalence of hematogenous recurrences was directly proportional to the mSIS. A forest plot revealed that mSIS 0,1 was associated with a greater risk of overall survival in most subgroups.
Conclusion
Preoperative mSIS can be easily calculated, and it is suggested that it is useful as a prognostic predictor of patients with different disease stages, for stratifying and evaluating clinical outcomes.