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  • Title: Prognostic value of neutrophil-to-lymphocyte ratio and establishment of novel preoperative risk stratification model in bladder cancer patients treated with radical cystectomy.
    Author: Gondo T, Nakashima J, Ohno Y, Choichiro O, Horiguchi Y, Namiki K, Yoshioka K, Ohori M, Hatano T, Tachibana M.
    Journal: Urology; 2012 May; 79(5):1085-91. PubMed ID: 22446338.
    Abstract:
    OBJECTIVE: Preoperative prognostic factors in bladder cancer patients have not been fully established. This study was undertaken to investigate preoperative prognostic factors, including neutrophil-to-lymphocyte ratio (NLR), and to develop a novel prognostic factors-based risk stratification model for disease-specific survival (DSS) in bladder cancer patients treated with radical cystectomy (RC). METHODS: We performed a retrospective analysis of 189 consecutive bladder cancer patients treated with RC at our institution. Prognostic value of the preoperative clinical and laboratory parameters were evaluated by univariate and multivariate Cox proportional hazard model analyses, and patients were stratified according to relative risks (RRs) for DSS. RESULTS: One-, 3-, and 5-year DSS rates were 86.8%, 70.8%, and 61.7%, respectively. In univariate analysis, tumor size, clinical T stage, hydronephrosis, concomitance of carcinoma in situ, and some laboratory findings (hemoglobin [Hb] level, platelet count, C-reactive protein, neutrophil count, lymphocyte count, and NLR) were significantly associated with poor prognosis. In multivariate analysis, tumor size, hydronephrosis, Hb level, and NLR were independent factors for predicting poor prognosis. Patients were stratified into 3 risk groups: low (RR = 1.000-3.717), intermediate (RR = 4.149-9.315), and high (RR = 10.397-38.646). The differences among the groups were significant. CONCLUSIONS: NLR was an independent prognostic factor, as were tumor size, hydronephrosis, and Hb levels, and the combination of these factors can stratify DSS risks in bladder cancer patients treated with RC. This information may be useful for identifying patients who might be candidates for clinical trials of multimodal treatment strategies, including innovative neoadjuvant treatments.
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