@Article{096504020X15907428281601,
AUTHOR = {Bo Ling, Zuliang Huang, Suoyi Huang, Li Qian, Genliang Li, Qianli Tang},
TITLE = {Microenvironment Analysis of Prognosis and Molecular Signature  of Immune-Related Genes in Lung Adenocarcinoma},
JOURNAL = {Oncology Research},
VOLUME = {28},
YEAR = {2020},
NUMBER = {6},
PAGES = {561--578},
URL = {http://www.techscience.com/or/v28n6/48495},
ISSN = {1555-3906},
ABSTRACT = {There is growing evidence on the clinical significance of tumor microenvironment (TME) cells in predicting prognosis and therapeutic effects. However, cell interactions in tumor microenvironments have not been 
thoroughly studied or systematically analyzed so far. In this study, 22 immune cell components in the lung 
adenocarcinoma (LUAD) TME were analyzed using gene expression profile from The Cancer Genome Atlas 
(TCGA) and Gene Expression Omnibus (GEO). The TME-based molecular subtypes of LUAD were defined 
to evaluate further the relationship between molecular subtypes, prognosis, and clinical characteristics. A TME 
risk score model was constructed by using the differentially expressed genes (DEGs) of molecular subtypes. 
The relationship between the TME score and clinical characteristics and genomic mutations was compared to 
identify the genes that have significant associations with the TME. The comprehensive analysis of the TME 
characteristics may be helpful in revealing the response of LUAD patients to immunotherapy, providing a new 
strategy for immunotherapy.},
DOI = {10.3727/096504020X15907428281601}
}