A Prognostic 14-Gene Expression Signature for Lung Adenocarcinoma: A Study Based on TCGA Data Mining.

Jie Liu Shiqiang Hou Jinyi Wang Zhengjun Chai Xuan Hong Tian Zhao Zhengliang Sun Liandi Bai Hongyan Gao Jing Gao Guohan Chen

Published in: Oxidative medicine and cellular longevity (2020)

Our study developed a novel 14-DEG signature providing more efficient and persuasive prognostic information beyond conventional clinicopathological factors for survival prediction of LUAD patients.

Keyphrases

gene expression
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
dna methylation
prognostic factors
health information
social media