Generic placeholder image

Current Gene Therapy

Editor-in-Chief

ISSN (Print): 1566-5232
ISSN (Online): 1875-5631

General Research Article

Single-cell RNA Sequencing Analysis Identifies Key Genes in Brain Metastasis from Lung Adenocarcinoma

Author(s): Zilong Zhang*, Feifei Cui, Murong Zhou, Song Wu*, Quan Zou* and Bo Gao*

Volume 21 , Issue 4 , 2021

Published on: 19 March, 2021

Page: [338 - 348] Pages: 11

DOI: 10.2174/1566523221666210319104752

Price: $65

Abstract

Background: Lung adenocarcinoma (LADC) is the most common type of lung cancer and is a subtype of non-small-cell lung cancer (NSCLC). Approximately 40% of LADC patients experience brain metastases (BMs) during the course of the disease. In this study, integrated bioinformatics methods were applied to identify key genes related to brain metastasis in lung adenocarcinoma.

Methods: We derived and characterized genes differentially expressed between the primary tumour and brain metastases using tumour cells isolated from two lung cancer Patient-derived xenografts (PDX) cases (GSE 69405). Gene ontology (GO) and KEGG pathway enrichment analyses were applied, and protein-protein interaction (PPI) networks and Cytoscape software were utilized to identify key genes.

Results: Four key genes, including CKAP4 (Cytoskeleton Associated Protein 4), SERPINA1 (Serpin Family A Member 1), SDC2 (Syndecan 2) and GNG11 (G Protein Subunit Gamma 11) were identified for BM-LADC by the Venn diagram.

Conclusion: We believe these key genes may be potential biomarkers for improved prognosis and treatment of lung adenocarcinoma.

Keywords: Lung adenocarcinoma, brain metastases, single-cell RNA sequencing, bioinformatics, key genes, biomarker.

Graphical Abstract

Rights & Permissions Print Export Cite as
© 2022 Bentham Science Publishers | Privacy Policy