摘要
目的 通过Logistic回归模型及受试者工作特征（ROC）曲线评价骨钙素（BGP）、Ⅰ型胶原羧基端肽β特殊序列（β-CTX）和Ⅰ型前胶原N-端前肽（PINP）检测在非小细胞肺癌（NSCLC）骨转移中的诊断价值.方法 选择65例晚期NSCLC患者,其中骨转移30例,无骨转移35例.采用电化学方法检测血清BGP、β-CTX和PINP水平.对筛选指标进行Logistic回归分析,建立Logistic回归方程,产生一组各单项预测值的新变量Y,对新变量及各单项指标进行ROC曲线分析.结果 NSCLC骨转移组患者血清β-CTX和PINP水平分别为（0.54±0.39）ng/ml、（103.64±81.86）ng/ml,均高于无骨转移组[（0.31±0.16）ng/ml和（48.37±27.76）ng/ml],差异有统计学意义（P＜0.01）;但BGP在两组间差异无统计学意义（P＞0.05）.β-CTX和PINP诊断NSCLC骨转移的ROC曲线下面积（AUC）分别为0.662和0.678.通过Logistic回归模型构建的新预测变量Y的AUC为0.761.结论 通过检测NSCLC患者血清β-CTX和PINP水平,应用Logistic回归和ROC曲线分析建立的统计学诊断模型能有效诊断NSCLC骨转移.
Objective To investigate the diagnostic value of bone metabolic markers （BGP, β-CTX and PINP） for bone metastasis of non-small cell lung cancer （NSCLC） analyzed by Logistic regression combined with ROC curve.Methods A total of 65 patients with stage Ⅳ NSCLC were enrolled in this study.The patients were divided into two groups based on radiological imaging, includirg bone metastasis group （30 cases） and non-bone metastasis group （35 cases）.The serum concentrations of BGP, β-CTX and PINP were measured by electrochemical method.Logistic regression and ROC curve were applied to analyze the data and evaluate the diagnostic values.Results The concentrations of β-CTX [（0.54±0.39） ng/ml] and PINP [（103.64±81.86） ng/ml] were significantly higher in bone metastasis group than those [（0.31±0.16） ng/ml and （48.37±27.76） ng/ml, respectively] in non-bone metastasis group （P 〈 0.01）, while the level of BGP did not differ between two groups （P 〉 0.05）.The area under the ROC curve （AUC） for β-CTX and PINP was 0.662 and 0.678, respectively.The AUC for the new predictive variables created by Logistic regression was 0.761.Conclusion Combined detection of β-CTX and PINP in the serum and application of Logistic regression combined with ROC curve analysis can increase diagnostic accuracy on bone metastasis of NSCLC.
出处
《肿瘤研究与临床》
CAS
2016年第3期162-164,173,共4页
Cancer Research and Clinic
基金
Medical Science and Technique Foundation of Foshan City of Guangdong Province，广东省佛山市医学类科技攻关项目
