Journal info
|
||
Select Journal
Journals
Bratislava Medical Journal Endocrine Regulations General Physiology and Biophysics Neoplasma 2024 Ahead of print 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 Acta Virologica Studia Psychologica Cardiology Letters Psychológia a patopsych. dieťaťa Kovove Materialy-Metallic Materials Slovenská hudbaWebshop Cart
Your Cart is currently empty.
Info: Your browser does not accept cookies. To put products into your cart and purchase them you need to enable cookies.
Neoplasma Vol.65, No.4, p.523-531, 2018 |
||
Title: Integrated analysis of differentially expressed genes in esophageal squamous cell carcinoma using bioinformatics | ||
Author: Z. DONG, H. ZHANG, T. ZHAN, S. XU | ||
Abstract: Esophageal squamous cell carcinoma (ESCC) is a deadly disease. To identify key genes in esophageal squamous cell carcinoma, we followed a strategy utilizing the laiurger microarray dataset (GSE38129) as the training set and another independent microarray dataset (GSE20347) as the validation set. Following quality control, differentially expressed genes (DEGs) were obtained using R software. Functional enrichment analysis was performed using DAVID database and the DEG co-expression network was established with Weighted Gene Co-Expression Network Analysis (WGCNA) and visualized by Cytoscape. The prognosis-related hub genes were then identified by Kaplan-Meier analysis based on the TCGA database. A total of 188 DEGs were obtained; 88 up-regulated genes and 100 down-regulated. The up-regulated DEGs were significantly associated with extracellular matrix organization and disassembly while down-regulated DEGs were significantly related to keratinocyte differentiation. Blue and turquoise co-expression modules were established and 18 hub genes were identified. The blue module was associated with mitotic nuclear division, cell division and mitotic cytokinesis and the turquoise module was associated with collagen catabolic process, extracellular matrix organization and keratinocyte differentiation. We established that the TPX2, CDK1 and CEP55 blue module hub genes were associated with relapse-free survival, and our overall results not only identify key genes but also provide potential novel biomarkers for ESCC diagnosis and treatment. |
||
Keywords: esophageal squamous cell carcinoma, differential expression genes, functional enrichment analysis, WGCNA, Kaplan-Meier analysis | ||
Published online: 30-Jul-2018 | ||
Year: 2018, Volume: 65, Issue: 4 | Page From: 523, Page To: 531 | |
doi:10.4149/neo_2018_170708N470 |
||
|
download file |
|