• Int. J. Cancer · Jul 2016

    Nomograms for predicting prognostic value of inflammatory biomarkers in colorectal cancer patients after radical resection.

    • Yaqi Li, Huixun Jia, Wencheng Yu, Ye Xu, Xinxiang Li, Qingguo Li, and Sanjun Cai.
    • Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
    • Int. J. Cancer. 2016 Jul 1; 139 (1): 220-31.

    AbstractIncreasing evidence indicates that inflammation plays a vital role in tumorigenesis and progression. However, the prognostic value of inflammatory biomarkers in colorectal cancer (CRC) has not been established. In this study, a retrospective analysis was conducted in patients with CRC in Fudan University Shanghai Cancer Center (FUSCC) between April 1, 2007 and April 30, 2014, and 5,336 patients were identified eligible. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and albumin/globulin ratio (AGR) were analyzed. Kaplan-Meier analysis was used to calculate the 5-year overall survival (OS) and disease-free survival (DFS). Cox regression analysis was performed to assess the prognostic factors. Nomograms were established to predict OS and DFS, and Harrell's concordance index (c-index) was adopted to evaluate prediction accuracy. As results, the 5-year OS was 79.2% and the 5-year DFS was 56.0% in the cohort. Patients were stratified into 2 groups by NLR (≤2.72 and >2.72), PLR (≤219.00 and >219.00), LMR (≤2.83 and >2.83) and AGR (<1.50 and ≥1.50). Patients with NLR > 2.72, PLR > 219.00, LMR ≤ 2.83 and AGR < 1.50 were significantly associated with decreased OS and DFS (p < 0.001). Multivariate analysis indicated that NLR, LMR and AGR were independent factors of OS (p = 0.047, p = 0.008 and p < 0.001, respectively) and DFS (p = 0.009, p < 0.001 and p = 0.008, respectively). In addition, nomograms on OS and DFS were established according to all significant factors, and c-indexes were 0.765 (95% CI: 0.744-0.785) and 0.735 (95% CI: 0.721-0.749), respectively. Nomograms based on OS and DFS can be recommended as practical models to evaluate prognosis for CRC patients. © 2016 UICC.

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