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Plasma biomarkers distinguish non-small cell lung cancer from asthma and differ in men and women.

机译:血浆生物标志物可将非小细胞肺癌与哮喘区分开来,并且在男女之间也有所不同。

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BACKGROUND: Lung cancer (LC) is the leading cause of deaths caused by cancer worldwide. A diagnostic test for LC is needed for monitoring high-risk populations. PATIENTS AND METHODS: Fifty-seven markers were measured using multiplex immunoassays of plasma of patients with non-small cell lung cancer (NSCLC); (245 men, 114 women, 1 unknown), asthma (67 men, 111 women, 2 unknown) and of healthy controls (165 men, 122 women, 1 unknown). Mass spectrometry was used for biomarker discovery. A support vector machine (SVM) was used for data analysis. RESULTS: When all biomarkers and both genders were co-analyzed, SVM classified NSCLC and asthma with an accuracy of 0.94. Restricting to NSCLC versus healthy using best subsets of variables (males: epidermal growth factor (EGF), interleukin-8 (IL-8), soluble Fas (sFas), matrix metalloproteinase-9 (MMP-9), plasminogen activator inhibitor-1 (PAI-1); females: EGF, soluble cluster of differentiation 40 (sCD40) ligand, IL-8) yielded sensitivity and specificity of 1. Expression of eleven mass spectrometric biomarkers differed between pathologies. CONCLUSION: Significant inter-pathology and gender differences between biomarkers may improve diagnosis of LC.
机译:背景:肺癌(LC)是全球范围内由癌症引起的死亡的主要原因。 LC的诊断测试需要监测高风险人群。患者和方法:使用非小细胞肺癌(NSCLC)患者血浆的多重免疫测定法检测了57种标记物。 (245名男性,114名女性,1名未知),哮喘(67名男性,111名女性,2名未知)和健康对照者(165名男性,122名女性,1名未知)。质谱用于发现生物标志物。支持向量机(SVM)用于数据分析。结果:当同时分析所有生物标志物和性别时,SVM将NSCLC和哮喘分类为0.94。使用最佳变量子集(男性:表皮生长因子(EGF),白细胞介素8(IL-8),可溶性Fas(sFas),基质金属蛋白酶9(MMP-9),纤溶酶原激活物抑制剂1 (PAI-1);雌性:EGF,可溶性分化40簇(sCD40)配体,IL-8)的敏感性和特异性为1.病理学中11种质谱生物标志物的表达有所不同。结论:生物标志物之间存在明显的病理学差异和性别差异可能会改善LC的诊断。

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