Studennikov A E, Glushkov A N, Ustinov V A
Federal State Scientific Institute, Federal Research Centre of Coal and Coal Chemistry, Siberian Branch of the Russian Academy of Sciences, Institute of Human Ecology, Kemerovo 650065, Russian Federation.
Exp Oncol. 2021 Dec;43(4):322-327. doi: 10.32471/exp-oncology.2312-8852.vol-43-no-4.17126.
Aim of this study was to develop and apply an ELISA method for assessment of the levels of endogenous antibodies against benzo[a]pyrene (Bp) in blood sera of lung cancer (LC) patients.
ELISA was developed and applied for the detection of endogenous idiotypic and anti-idiotypic antibodies against Bp in human blood sera using recombinant human idiotypic and anti-idiotypic antibodies against Bp.
Serum samples of LC patients (n = 22) and healthy donors (n = 24) were analyzed by the new method. Statistical analysis showed that in sera of LC patients the levels of endogenous idiotypic and anti-idiotypic antibodies against Bp were significantly higher than in healthy donors. A logistic regression model for the LC detection utilizing such predictors as the serum levels of idiotypic and anti-idiotypic antibodies against Bp, smoking status, and age, identified LC patients with 83% specificity and 82% sensitivity.
The proposed method could be further developed as additional lung cancer screening tool.
本研究的目的是开发并应用一种酶联免疫吸附测定（ELISA）方法，以评估肺癌（LC）患者血清中抗苯并[a]芘（Bp）内源性抗体的水平。
利用重组人抗Bp独特型和抗独特型抗体，开发并应用ELISA法检测人血清中抗Bp的内源性独特型和抗独特型抗体。
采用新方法对22例肺癌患者和24例健康供者的血清样本进行分析。统计分析表明，肺癌患者血清中抗Bp内源性独特型和抗独特型抗体水平显著高于健康供者。利用抗Bp独特型和抗独特型抗体的血清水平、吸烟状况和年龄等预测指标建立的LC检测逻辑回归模型，识别肺癌患者的特异性为83%，敏感性为82%。
所提出的方法可进一步开发成为一种额外的肺癌筛查工具。
