Unknown

Dataset Information

Twenty‑four signature genes predict the prognosis of oral squamous cell carcinoma with high accuracy and repeatability.


ABSTRACT: Oral squamous cell carcinoma (OSCC) is the sixth most common type cancer worldwide, with poor prognosis. The present study aimed to identify gene signatures that could classify OSCC and predict prognosis in different stages. A training data set (GSE41613) and two validation data sets (GSE42743 and GSE26549) were acquired from the online Gene Expression Omnibus database. In the training data set, patients were classified based on the tumor‑node‑metastasis staging system, and subsequently grouped into low stage (L) or high stage (H). Signature genes between L and H stages were selected by disparity index analysis, and classification was performed by the expression of these signature genes. The established classification was compared with the L and H classification, and fivefold cross validat

SUBMITTER: Gao J 

PROVIDER: S-EPMC5783517 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature