Establishment of Chemotherapy Prediction Model Based on Hypoxia-Related Genes for Oral Cancer.

ABSTRACT: Purpose: Identify the hypoxia genes related to chemotherapy resistance of oral cancer, and construct a chemotherapy response model by machine learning algorithm. Methods: 72 oral cancer patients with complete chemotherapy records and chemotherapy reactions were screened from the Cancer Genome Atlas (TCGA) database. According to the chemotherapy reactions, they were divided into chemotherapy sensitive group and chemotherapy resistant group. The differential genes were screened by Limma package. Then the chemotherapy response gene were screened by univariate analysis. Based on the gene expression profile of chemotherapy response, four machine learning algorithms were used to construct the prediction model of chemotherapy response. The core genes were screened by lasso regressio

SUBMITTER: Zhou C 

PROVIDER: S-EPMC11375540 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature