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首页> 外文期刊>Scientific reports. >Deconvolution Analysis for Classifying Gastric Adenocarcinoma Patients Based on Differential Scanning Calorimetry Serum Thermograms
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Deconvolution Analysis for Classifying Gastric Adenocarcinoma Patients Based on Differential Scanning Calorimetry Serum Thermograms

机译:基于差示扫描量热血清温谱图对胃腺癌患者分类的反卷积分析

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Recently, differential scanning calorimetry (DSC) has been acknowledged as a novel tool for diagnosing and monitoring several diseases. This highly sensitive technique has been traditionally used to study thermally induced protein folding/unfolding transitions. In previous research papers, DSC profiles from blood samples of patients were analyzed and they exhibited marked differences in the thermal denaturation profile. Thus, we investigated the use of this novel technology in blood serum samples from 25 healthy subjects and 30 patients with gastric adenocarcinoma (GAC) at different stages of tumor development with a new multiparametric approach. The analysis of the calorimetric profiles of blood serum from GAC patients allowed us to discriminate three stages of cancer development (I to III) from those of healthy individuals. After a multiparametric analysis, a classification of blood serum DSC parameters from patients with GAC is proposed. Certain parameters exhibited significant differences (P
机译:最近,差示扫描量热法(DSC)被公认为是诊断和监测多种疾病的新型工具。传统上,这种高度敏感的技术已用于研究热诱导的蛋白质折叠/展开转变。在以前的研究论文中,分析了患者血液样本的DSC谱图,它们在热变性谱图中表现出显着差异。因此,我们使用新的多参数方法研究了这项新技术在25名健康受试者和30名胃腺癌(GAC)处于不同肿瘤发展阶段的患者血清样本中的使用。对来自GAC患者的血清的量热曲线进行分析,使我们能够将癌症发展的三个阶段(I至III)与健康个体相区别。经过多参数分析,提出了GAC患者血清DSC参数的分类。某些参数显示出显着差异(P

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