Cargando…

GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis

Gastric cancer is currently the fourth most common cancer and the third leading cause of cancer-associated mortality worldwide. Studies have identified that certain biomarkers contribute to the prognosis, diagnosis and treatment of gastric cancer. However, the biomarkers of gastric cancer are rarely...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Jingsheng, Tan, Lulu, Yin, Zhijie, Tao, Kaixiong, Wang, Guobing, Shi, Wenjia, Gao, Jinbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278374/
https://www.ncbi.nlm.nih.gov/pubmed/30320360
http://dx.doi.org/10.3892/or.2018.6794
_version_ 1783378351058059264
author Yuan, Jingsheng
Tan, Lulu
Yin, Zhijie
Tao, Kaixiong
Wang, Guobing
Shi, Wenjia
Gao, Jinbo
author_facet Yuan, Jingsheng
Tan, Lulu
Yin, Zhijie
Tao, Kaixiong
Wang, Guobing
Shi, Wenjia
Gao, Jinbo
author_sort Yuan, Jingsheng
collection PubMed
description Gastric cancer is currently the fourth most common cancer and the third leading cause of cancer-associated mortality worldwide. Studies have identified that certain biomarkers contribute to the prognosis, diagnosis and treatment of gastric cancer. However, the biomarkers of gastric cancer are rarely used clinically. Therefore, it is imperative to define novel molecular networks and key genes to guide the further study and clinical treatment of gastric cancer. In the present study, raw RNA sequencing data and clinicopathological information on patients with gastric cancer were downloaded from The Cancer Genome Atlas, and a weighted gene co-expression network analysis was conducted. Additionally, functional enrichment and protein-protein interaction analyses were implemented to further examine the significant modules. As a result, 16 modules of highly correlated genes were acquired and colour coded, and the yellow module containing 174 genes associated with chemotherapy resistance and prognosis in gastric cancer was further analysed. The biological processes of the yellow module were primarily associated with cell adhesion, vasculature development and the regulation of cell proliferation. In addition, the Kyoto Encyclopedia of Genes and Genomes pathways primarily involved the transforming growth factor-β signalling pathway, the cellular tumour antigen p53 signalling pathway, extracellular matrix-receptor interactions and focal adhesions. Notably, survival analysis and cell verification confirmed that high expression of GLIS family zinc finger 2 is significantly associated with chemoresistance and a worse prognosis in gastric cancer, and that this high expression is likely to be an important biomarker for the guidance of clinical treatment and prognostic evaluation.
format Online
Article
Text
id pubmed-6278374
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-62783742018-12-17 GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis Yuan, Jingsheng Tan, Lulu Yin, Zhijie Tao, Kaixiong Wang, Guobing Shi, Wenjia Gao, Jinbo Oncol Rep Articles Gastric cancer is currently the fourth most common cancer and the third leading cause of cancer-associated mortality worldwide. Studies have identified that certain biomarkers contribute to the prognosis, diagnosis and treatment of gastric cancer. However, the biomarkers of gastric cancer are rarely used clinically. Therefore, it is imperative to define novel molecular networks and key genes to guide the further study and clinical treatment of gastric cancer. In the present study, raw RNA sequencing data and clinicopathological information on patients with gastric cancer were downloaded from The Cancer Genome Atlas, and a weighted gene co-expression network analysis was conducted. Additionally, functional enrichment and protein-protein interaction analyses were implemented to further examine the significant modules. As a result, 16 modules of highly correlated genes were acquired and colour coded, and the yellow module containing 174 genes associated with chemotherapy resistance and prognosis in gastric cancer was further analysed. The biological processes of the yellow module were primarily associated with cell adhesion, vasculature development and the regulation of cell proliferation. In addition, the Kyoto Encyclopedia of Genes and Genomes pathways primarily involved the transforming growth factor-β signalling pathway, the cellular tumour antigen p53 signalling pathway, extracellular matrix-receptor interactions and focal adhesions. Notably, survival analysis and cell verification confirmed that high expression of GLIS family zinc finger 2 is significantly associated with chemoresistance and a worse prognosis in gastric cancer, and that this high expression is likely to be an important biomarker for the guidance of clinical treatment and prognostic evaluation. D.A. Spandidos 2019-01 2018-10-15 /pmc/articles/PMC6278374/ /pubmed/30320360 http://dx.doi.org/10.3892/or.2018.6794 Text en Copyright: © Yuan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Yuan, Jingsheng
Tan, Lulu
Yin, Zhijie
Tao, Kaixiong
Wang, Guobing
Shi, Wenjia
Gao, Jinbo
GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
title GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
title_full GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
title_fullStr GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
title_full_unstemmed GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
title_short GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
title_sort glis2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co-expression network analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278374/
https://www.ncbi.nlm.nih.gov/pubmed/30320360
http://dx.doi.org/10.3892/or.2018.6794
work_keys_str_mv AT yuanjingsheng glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis
AT tanlulu glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis
AT yinzhijie glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis
AT taokaixiong glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis
AT wangguobing glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis
AT shiwenjia glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis
AT gaojinbo glis2redundancycauseschemoresistanceandpoorprognosisofgastriccancerbasedoncoexpressionnetworkanalysis