肿瘤标志物联合检测及评分模型在肿瘤诊疗中的应用

The application and prospect for the tumor marker score model in clinical diagnosis and therapy

由于单个肿瘤标志物的敏感性和特异性常不够理想，因此合理选择肿瘤标志物进行有机组合，并利用模糊数学原理建立相应的评分预测模型在临床肿瘤诊疗中有重要的应用价值。多项大数据研究结果显示，肿瘤标志物的组合及评分模型可以为肿瘤患者提供更为有效和准确的个体化信息，从而有助于临床制定个体化治疗方案、监测疗效及判断预后。应用合理高效的肿瘤标志物评分模型将为肿瘤患者的诊疗提供新的思路和方法。（中华检验医学杂志，2018, 41：180－184）

Single tumor marker （TM） for cancer diagnosis with both satisfactory sensitivity and specificity has not been found. Therefore, it is necessary to identify the biomarkers to make the TM panel and establish the corresponding multiparameter predictive model through fuzzy mathematics methods. Recent studies using the big data technology showed that the integration of the biomarkers panel and prediction score model could provide the effective and accurate diagnosis for the cancer patients and be in favor of making the scheme for personalized therapy, treatment-monitoring and prognosis prediction. A reliable and efficient TM score prediction model will provide the novel perspectives and procedures for the diagnosis and treatment of cancer patients.（Chin J Lab Med, 2018, 41： 180-184）