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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ABSTRACT:
SUBMITTER: Xing L
PROVIDER: S-EPMC7540035 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
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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.
Xing Lu L Zhang Xiaoqi X Zhang Xiaoqian X Tong Dongdong D
Journal of cellular physiology 20200114 11
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 ...[more]
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