Prognostic Hub Genes in the Immune Microenvironment of Lung Adenocarcinoma by Estimation

(E-pub Ahead of Print)

Author(s): Shanshan Liu, Wenjuan Tian, Burong Li*

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

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Background: The mortality of lung adenocarcinoma(LUAD) is high. Recent studies have found that the degree of immune infiltration and stromal cells in the tumour microenvironment or tumours makes a significant contribution to prognosis.

Methods: During study, we screened differentially expressed genes (DEGs) of TCGA database for prognostic genes in LUAD immune microenvironment. Further, immune and stromal cells were quantified using ESTIMATE algorithm. To study the effects of immune and stromal cell-associated genes on the prognosis of LUAD, LUAD patients were divided into high and low groups according to their immune/ stromal scores. The obtained scores were found to be related to the phenotype and survival rate of LUAD patients. By selecting DEGs with high expression in immune and stromal cells, we performed functional enrichment analysis and found that most genes are associated with pathways of cancer, stimulus response and the MAPK signaling. The functions and enriched pathways of LUAD prognostic genes were shown by a protein-protein interaction (PPI) network. Nonetheless, an external database was used to validate the prognostic genes from the TCGA.

Results: Prognostic genes were listed according to their expression position and protein function.

Conclusion: We provided a new targets for immunotherapy of LUAD, which further provides basic knowledge for future clinical research.

Keywords: LUAD, ESTIMATE, immune microenvironment, prognostic

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(E-pub Ahead of Print)
DOI: 10.2174/1386207323666201211090604
Price: $95

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