Predictive Impact Of The Inflammation-Based Indices In Colorectal Cancer Patients With Adjuvant Chemotherapy

Increasing evidences reported that cancer-triggered inflammation was associated with survival prognosis from colorectal cancer (CRC). However, the comprehensive effects of inflammatory-based coNLR-PLR that combines neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) rarely remain to be determined during chemotherapy. We retrospectively analyzed clinical data and baseline laboratory parameters from 153 colorectal cancer patients who underwent palliative adjuvant chemotherapy between January 2009 to January 2012. Receiver operating characteristic (ROC) curves and linear regression analyzed the predictive ability of NLR, and PLR for calculating the score of coNLR-PLR. Overall survival (OS) and recurrence-free survival (RFS) rates were estimated using the Kaplan-Meier method and analyzed by the Cox proportional hazards model in univariate and multivariate analysis. The optimal cut-off value of NLR and PLR was 2.24 and 186 by the ROC analysis. Kaplan-Meier method showed that patients with high coNLR-PLR score was associated with poorer OS and RFS (all P < .05). In univariate and multivariate analysis, it obtained that the coNLR-PLR severed as a strong independent prognostic factor for OS and RFS (all P < .05). These results highlight that coNLR-PLR index severed as a strong predictor of prognosis biomarker in CRC patients receiving adjuvant chemotherapy. Furthermore, its assessment could contribute to accurately predicting prognosis after chemotherapy in clinical practice.