Clinical implications of pretreatment inflammatory biomarkers as independent prognostic indicators in prostate cancer.

JOURNAL OF CLINICAL LABORATORY ANALYSIS(2018)

引用 32|浏览5
暂无评分
摘要
ObjectivesResearch on the relationship between inflammatory biomarkers and malignant tumors has become a hotspot. Many studies have demonstrated that neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) could act as independent prognostic indicators for several solid tumors. This study aimed to evaluate the clinical implications of pretreatment inflammatory biomarkers, including NLR, PLR, and RDW as independent prognostic indicators in prostate cancer (PCa). MethodsA total of 226 PCa patients who were diagnosed at our institution from 2011 to 2016 were analyzed retrospectively. We compared the clinicopathological features, survival curves, and prognosis of the PCa patients between the high and low groups according to the cutoffs of NLR, PLR, and RDW. ResultsThe pretreatment NLR, PLR, and RDW values were significantly higher in the patients with PCa than those in the controls (P<.05). Increased NLR and PLR values were significantly associated with high risk of progression, including higher Gleason scores, cell proliferation antigen 67 (Ki-67) indexes, and prostate-specific antigen (PSA) levels (P<.05), whereas an elevated RDW was only associated with an older age. An increased NLR was correlated with both overall survival (OS) (P=.025) and disease-free survival (DFS) (P=.017). In addition, a higher PLR only showed a significantly worse DFS (P=.040). Pretreatment NLR was an independent prognostic indicator of DFS. ConclusionsThe pretreatment NLR and PLR might be beneficial to predict the progression and prognosis of PCa. Furthermore, NLR was more effective than PLR acting as an independent prognostic indicator for PCa.
更多
查看译文
关键词
inflammatory biomarkers,neutrophil-lymphocyte ratio,platelet-lymphocyte ratio,prognostic indicators,prostate cancer,red blood cell distribution width
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要