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ABSTRACT: Purpose
To construct a prognostic signature composed of DNA repair genes to effectively predict the prognosis of patients with head and neck squamous cell carcinoma (HNSCC).Methods
After downloading the transcriptome and clinical data of HNSCC from the Cancer Genome Atlas (TCGA), 499 patients with HNSCC were equally divided into training and testing sets. In the training set, 13 DNA repair genes were screened using univariate proportional hazard (Cox) regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis to construct a risk model, which was validated in the testing set.Results
In the training and testing sets, there were significant differences in the clinical outcomes of patients in the high- and low-risk groups sho
SUBMITTER: Ming R
PROVIDER: S-EPMC8362833 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature