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Proteomic diagnosis models from serum for early detection of oral squamous cell carcinoma

机译:血清蛋白质组学诊断模型用于口腔鳞状细胞癌的早期检测

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The early diagnosis of oral squamous cell carcinoma (OSCC) is crucial to prevent deformity and malfunction post-surgery, as well as to allow clinicians to make a rapid decision about treatment. The aim of this study was to search a serum diagnostic model at a molecular level for OSCC. After collection and processing of serum from 28 OSCC patients and 32 healthy volunteers in the Department of Stomatology at the university hospital, samples were detected using Surface Enhanced Laser Desorption Ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS) technology with CM10 protein chip and bioinformatics. Seven protein mass peaks were screened out to build a serum diagnosis model with a significant P value, respectively, and the sensitivity, specificity, and total accuracy were 93.75%, 92.86%, and 93.33%. The use of serum protein fingerprint provides a promising approach for early diagnostics, which could benefit determining preventative and therapeutic stages of patients with OSCC.
机译:口腔鳞状细胞癌(OSCC)的早期诊断对于预防术后畸形和术后功能异常以及使临床医生对治疗做出快速决策至关重要。这项研究的目的是在分子水平上寻找OSCC的血清诊断模型。在大学医院口腔科收集并处理了28例OSCC患者和32名健康志愿者的血清后,使用表面增强激光解吸电离飞行时间质谱(SELDI-TOF-MS)技术和CM10蛋白芯片对样品进行了检测。和生物信息学。筛选出七个蛋白质质量峰,以建立具有显着P值的血清诊断模型,灵敏度,特异性和总准确度分别为93.75%,92.86%和93.33%。血清蛋白指纹图谱的使用为早期诊断提供了一种有希望的方法,这可能有助于确定OSCC患者的预防和治疗阶段。

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