A six-mRNA prognostic model to predict survival in head and neck squamous cell carcinoma.

ABSTRACT:

Background

Transcriptional dysregulation is one of the most important features of cancer genesis and progression. Applying gene expression dysregulation information to predict the development of cancers is useful for cancer diagnosis. However, previous studies mainly focused on the relationship between a single gene and cancer. Prognostic prediction using combined gene models remains limited.

Materials and methods

Gene expression profiles were downloaded from The Cancer Genome Atlas and the data sets were randomly divided into training data sets and test data sets. A six-gene signature associated with head and neck squamous cell carcinoma (HNSCC) and overall survival (OS) was identified according to a training cohort by using weighted gene correlation network analysis and le

SUBMITTER: Tian S 

PROVIDER: S-EPMC6305138 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature