Identification of the Characteristic Genes and their Roles in Lung Adenocarcinoma Lymph Node Metastasis through Machine Learning Algorithm

ABSTRACT:

Background

Lymph node metastasis is an important route of lung cancer metastasis and can significantly affect the survival of lung cancer.

Methods

All the analysis was conducted out in the R software. Expression profile and clinical information of lung adenocarcinoma (LUAD) patients were downloaded from The Cancer Genome Atlas database.

Results

In our study, we firstly identified the characteristic genes of lymph node metastasis in LUAD through two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) logistic regression, and SVM-RFE algorithms. Ten characteristic genes were finally identified, including CRHR2, ITIH1, PRSS48, MAS1L, CYP4Z1, LMO1, TCP10L2, KRT78, IGFBP1, and PITX3. Next, we performed univariate Cox regression, LAS

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC9581663 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature