Prognostic value of pre-operative inflammatory response biomarkers in @entity356 XXXX and the construction of a predictive model.

@entity1 @entity32 @entity66 @entity5 @entity356 @entity1349
BACKGROUND: @entity32 plays an integral role in carcinogenesis and @entity5 progression. Inflammatory response biomarkers have shown to be promising prognostic factors for improving the predictive accuracy in @entity5 . The aim of this study is to investigate the prognostic significance of pre-operative neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in @entity356 ( @entity356 ). METHODS: 389 @entity1 who had undergone gastrectomy were enrolled from 2007 to 2009 in this study. NLR, dNLR, PLR and LMR were calculated from peripheral blood cell count taken at pre-operation. Receiver operating curve (ROC) was used to determine the optimal cut-off levels for these biomarkers. A predictive model or nomogram was established to predict prognosis for @entity5 ( @entity5 ) and @entity66 ( @entity66 ), and the predictive accuracy of the nomogram was determined by concordance index (c-index). RESULTS: The median follow-up period was 24  months ranging from 3  months to 60  months. The optimal cut-off levels were 2.36 for NLR, 1.85 for dNLR, 132 for PLR and 4.95 for LMR by ROC curves analysis. Elevated NLR, dNLR and PLR were significantly associated with worse @entity1349 ( @entity1349 ), @entity5 and @entity66 , however, elevated LMR showed an adverse effect on worse @entity1349 , @entity5 and @entity66 . Multivariate analysis revealed that elevated dNLR was an independent factor for worse @entity1349 , and NLR was superior to dNLR, PLR and LMR in terms of hazard ratio (HR   =   1.53, 95% CI   =   1.11-2.11, P   =   0.010), which was shown to be independent prognostic indicators for both @entity5 and @entity66 . Moreover, the nomogram could more accurately predict @entity5 (c-index: 0.89) and @entity66 (c-index: 0.84) in surgical @entity356 @entity1 . CONCLUSIONS: Pre-operative NLR and dNLR may serve as potential prognostic biomarkers in @entity1 with @entity356 who underwent surgical resection. The proposed nomograms can be used for the prediction of @entity5 and @entity66 in @entity1 with @entity356 who have undergone gastrectomy.
