Central West Cancer Service, Orange, NSW, Australia.
Br J Cancer. 2013 Jul 9;109(1):147-53. doi: 10.1038/bjc.2013.300. Epub 2013 Jun 18.
The host inflammatory response has a vital role in carcinogenesis and tumour progression. We examined the prognostic value of inflammatory markers (albumin, white-cell count and its components, and platelets) in pre-treated patients with advanced renal cell carcinoma (RCC).
Using data from a randomised trial, multivariable proportional hazards models were generated to examine the impact of inflammatory markers and established prognostic factors (performance status, calcium, and haemoglobin) on overall survival (OS). We evaluated a new prognostic classification incorporating additional information from inflammatory markers.
Of the 416 patients, 362 were included in the analysis. Elevated neutrophil counts, elevated platelet counts, and a high neutrophil-lymphocyte ratio were significant independent predictors for shorter OS in a model with established prognostic factors. The addition of inflammatory markers improves the discriminatory value of the prognostic classification as compared with established factors alone (C-statistic 0.673 vs 0.654, P=0.002 for the difference), with 25.8% (P=0.004) of patients more appropriately classified using the new classification.
Markers of systemic inflammation contribute significantly to prognostic classification in addition to established factors for pre-treated patients with advanced RCC. Upon validation of these data in independent studies, stratification of patients using these markers in future clinical trials is recommended.
宿主炎症反应在癌症发生和肿瘤进展中起着至关重要的作用。我们研究了炎症标志物(白蛋白、白细胞计数及其成分和血小板)在晚期肾细胞癌(RCC)患者预处理后的预后价值。
利用一项随机试验的数据,生成多变量比例风险模型,以检查炎症标志物和既定预后因素(体能状态、钙和血红蛋白)对总生存期(OS)的影响。我们评估了一种新的预后分类方法,该方法结合了炎症标志物的额外信息。
在 416 名患者中,有 362 名患者纳入分析。在包含既定预后因素的模型中,升高的中性粒细胞计数、升高的血小板计数和高中性粒细胞与淋巴细胞比值是 OS 较短的独立预测因素。与单独使用既定因素相比,炎症标志物的加入提高了预后分类的判别价值(C 统计量 0.673 与 0.654,差异有统计学意义 P=0.002),新分类可更准确地将 25.8%(P=0.004)的患者进行分类。
除了晚期 RCC 患者预处理的既定因素外,系统炎症标志物对预后分类也有重要贡献。在独立研究中验证这些数据后,建议在未来的临床试验中使用这些标志物对患者进行分层。