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The clinical performance evaluation of novel protein chips for eleven biomarkers detection and the diagnostic model study

机译:用于11种生物标志物检测的新型蛋白质芯片的临床性能评估和诊断模型研究

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摘要

We aimed to develop and validate two novel protein chips, which are based on microarray chemiluminescence immunoassay and can simultaneously detected 11 biomarkers, and then to evaluate their clinical diagnostic value by comparing with the traditional methods. Protein chips were evaluated for limit of detection, specificity, common interferences, linearity, precision and accuracy. 11 biomarkers were simultaneously detected by traditional methods and protein chips in 3683 samples, which included 1723 cancer patients, 1798 benign diseases patients and 162 healthy controls. After assay validation, protein chips demonstrated high sensitivity, high specificity, good linearity, low imprecision and were free of common interferences. Compared with the traditional methods, protein chips have good correlation in the detection of all the 13 kinds of biomarkers (r≥0.935, P<0.001). For specific cancer detection, there were no statistically significant differences between the traditional method and novel protein chips, except that male protein chip showed significantly better diagnostic value on NSE detection (P=0.004) but significantly worse value on pro-GRP detection (P=0.012), female chip showed significantly better diagnostic value on pro-GRP detection (P=0.005). Furthermore, both male and female multivariate diagnostic models had significantly better diagnostic value than single detection of PGI, PG II, pro-GRP, NSE and CA125 (P<0.05). In addition, male models had significantly better diagnostic value than single CA199 and free-PSA (P<0.05), while female models observed significantly better diagnostic value than single CA724 and β-HCG (P<0.05). For total disease or cancer detection, the AUC of multivariate logistic regression for the male and female disease detection was 0.981 (95% CI: 0.975-0.987) and 0.836 (95% CI: 0.798-0.874), respectively. While, that for total cancer detection was 0.691 (95% CI: 0.666-0.717) and 0.753 (95% CI: 0.731-0.775), respectively. The new designed protein chips are simple, multiplex and reliable clinical assays and the multi-parameter diagnostic models based on them could significantly improve their clinical performance.
机译:我们旨在开发和验证两种基于芯片化学发光免疫分析的新型蛋白质芯片,它们可以同时检测11种生物标记,然后通过与传统方法进行比较来评估其临床诊断价值。对蛋白质芯片的检测限,特异性,常见干扰,线性,精密度和准确性进行了评估。通过传统方法和蛋白质芯片同时检测了3683个样品中的11种生物标记物,其中包括1723名癌症患者,1798名良性疾病患者和162名健康对照。经测定验证后,蛋白芯片显示出高灵敏度,高特异性,良好的线性,不精确度低且不受常见干扰。与传统方法相比,蛋白质芯片在所有13种生物标志物的检测中具有良好的相关性(r≥0.935,P <0.001)。对于特定的癌症检测,传统方法与新型蛋白质芯片之间没有统计学上的显着差异,只是雄性蛋白质芯片在NSE检测中显示出明显更好的诊断价值(P = 0.004),而在pro-GRP检测中显示出更差的诊断价值(P = 0.012),女性芯片对pro-GRP检测显示出明显更好的诊断价值(P = 0.005)。此外,男性和女性多变量诊断模型的诊断价值均显着高于对PGI,PG II,pro-GRP,NSE和CA125的单次检测(P <0.05)。此外,雄性模型的诊断价值明显高于单个CA199和游离PSA(P <0.05),而雌性模型的诊断价值明显高于单个CA724和β-HCG(P <0.05)。对于总疾病或癌症检测,用于男性和女性疾病检测的多元逻辑回归的AUC分别为0.981(95%CI:0.975-0.987)和0.836(95%CI:0.798-0.874)。而总癌症检出率分别为0.691(95%CI:0.666-0.717)和0.753(95%CI:0.731-0.775)。新设计的蛋白质芯片具有简单,多元且可靠的临床检测方法,基于它们的多参数诊断模型可以显着改善其临床性能。

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