Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model

• DOI: 10.1186/s12967-015-0409-0
• Publication Date: 2015-02-17T11:47:50Z
• Authors: Qiwen Deng; Bangshun He; Xian Liu; Jin Yue; Houqun Ying; Yuqin Pan; Huiling Sun; Jie Chen; Feng Wang; Tianyi Gao; Lei Zhang; Shukui Wang
• Keywords: Nomogram

Inflammation plays an integral role in carcinogenesis and tumor progression. Inflammatory response biomarkers have shown to be promising prognostic factors for improving the predictive accuracy various cancers. The aim of this study is investigate significance pre-operative neutrophil lymphocyte ratio (NLR), derived (dNLR), platelet (PLR) monocyte (LMR) gastric cancer (GC).389 patients who had undergone gastrectomy were enrolled from 2007 2009 study. NLR, dNLR, PLR LMR calculated peripheral blood cell count taken at pre-operation. Receiver operating curve (ROC) was used determine optimal cut-off levels these biomarkers. A model or nomogram established predict prognosis cancer-specific survival (CSS) disease-free (DFS), determined by concordance index (c-index).The median follow-up period 24 months ranging 3 60 months. 2.36 1.85 132 4.95 ROC curves analysis. Elevated dNLR significantly associated with worse overall (OS), CSS DFS, however, elevated showed adverse effect on OS, DFS. Multivariate analysis revealed that independent factor NLR superior terms hazard (HR = 1.53, 95% CI 1.11-2.11, P 0.010), which indicators both Moreover, could more accurately (c-index: 0.89) DFS 0.84) surgical GC patients.Pre-operative may serve as potential underwent resection. proposed nomograms can prediction gastrectomy.