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首页> 外文期刊>Journal of cellular physiology. >Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer
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Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer

机译：表达small-nucleolar-RNA得分签名确认的机器学习服务作为头部和颈部的预后预测指标癌症

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摘要

Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with high mortality and poor prognosis due to a lack of predictive markers. Increasing evidence has demonstrated small nucleolar RNAs (snoRNAs) play an important role in tumorigenesis. The aim of this study was to identify a prognostic snoRNA signature of HNSCC. Survival-related snoRNAs were screened by Cox regression analysis (univariate, least absolute shrinkage and selection operator, and multivariate). The predictive value was validated in different subgroups. The biological functions were explored by coexpression analysis and gene set enrichment analysis (GSEA). One hundred and thirteen survival-related snoRNAs were identified, and a five-snoRNA signature predicted prognosis with high sensitivity and specificity. Furthermore, the signature was applicable to patients of different sexes, ages, stages, grades, and anatomic subdivisions. Coexpression analysis and GSEA revealed the five-snoRNA are involved in regulating malignant phenotype and DNA/RNA editing. This five-snoRNA signature is not only a promising predictor of prognosis and survival but also a potential biomarker for patient stratification management.
机译：头颈部鳞状细胞癌(HNSCC)常见恶性肿瘤与高死亡率和贫穷由于缺乏预测预后标记。越来越多的证据表明小核仁的rna (snorna)起着重要的作用在肿瘤发生。确定一个预后snoRNA HNSCC的签名。考克斯Survival-related snorna筛选回归分析(单变量,至少绝对的收缩和选择算子,多变量)。在不同的子组。被coexpression探索分析和基因集富集分析(GSEA)。十三survival-related snorna是识别和预测five-snoRNA签名预后具有高敏感性和特异性。此外,签名是适用的患者不同的性别、年龄、阶段,成绩,解剖细分。分析和GSEA five-snoRNA透露参与调节恶性表型和DNA / RNA编辑。不仅有前途的预后和预测指标生存也是一种潜在的生物标记患者分层管理。

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