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01-07-2021

Identification of key genes in the tumor microenvironment of lung adenocarcinoma

Authors: Wenxing Long, Qing Li, Jianfang Zhang, Hui Xie

Published in: Medical Oncology | Issue 7/2021

Abstract

The tumor microenvironment plays an important role in tumor development and progression, but the role of immune and stromal cells in this environment has not been sufficiently studied. In this study, we aimed to identify key genes associated with the microenvironment of lung adenocarcinoma (LUAD). Raw data for stromal and immune cells in malignant tumors were downloaded from The Cancer Genome Atlas (TCGA). These expression data were used to identify the differentially expressed genes (DEGs) in tissue samples of LUAD with high and low immune scores. A protein–protein interaction (PPI) network based on genes with significant differential expression was constructed. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to functionally annotate putative hub genes. These genes were assessed via Kaplan Meier analysis to determine their correlation with overall survival. In total, we identified 216 DEGs which were correlated with immune and stromal scores, including 30 hub genes which were identified based on the PPI network. Further analysis suggested that the expression levels of 10 of these genes were significantly correlated with overall survival of LUAD patients. These key hub genes included CCR2, CCR5, CD53, CYBB, HCK, IRF8, LCP2, PLEK, PTPRC, and TLR7. Moreover, the expression level of CCR2 was found to have strong prognostic value for LUAD patients. Additionally, high expression of CYBB was also correlated with better survival of patients with LUAD. The results of this study open several new avenues to explore in the treatment of LUAD.

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Title: Identification of key genes in the tumor microenvironment of lung adenocarcinoma
Authors: Wenxing Long
Qing Li
Jianfang Zhang
Hui Xie
Publication date: 01-07-2021
Publisher: Springer US
Published in: Medical Oncology / Issue 7/2021
Print ISSN: 1357-0560
Electronic ISSN: 1559-131X
DOI: https://doi.org/10.1007/s12032-021-01529-3

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