A Transcriptomic Analysis of Head and Neck Squamous Cell Carcinomas for Prognostic Indications.

ABSTRACT: Survival analysis of the Cancer Genome Atlas (TCGA) dataset is a well-known method for discovering gene expression-based prognostic biomarkers of head and neck squamous cell carcinoma (HNSCC). A cutoff point is usually used in survival analysis for patient dichotomization when using continuous gene expression values. There is some optimization software for cutoff determination. However, the software's predetermined cutoffs are usually set at the medians or quantiles of gene expression values. There are also few clinicopathological features available in pre-processed datasets. We applied an in-house workflow, including data retrieving and pre-processing, feature selection, sliding-window cutoff selection, Kaplan-Meier survival analysis, and Cox proportional hazard modeling for biomarker dis

SUBMITTER: Chi LH 

PROVIDER: S-EPMC8399099 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature