Cargando…

Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma

BACKGROUND: Pancreatic duct adenocarcinoma (PDAC) remains a major health problem because conventional cancer treatments are relatively ineffective against it. Microarray studies have linked many genes to pancreatic cancer, but the available data have not been extensively mined for potential insights...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jun, Tan, Wenle, Peng, Linna, Zhang, Jialiang, Huang, Xudong, Cui, Qionghua, Zheng, Jian, Tan, Wen, Wu, Chen, Lin, Dongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993144/
https://www.ncbi.nlm.nih.gov/pubmed/29764514
http://dx.doi.org/10.1186/s40880-018-0289-9
_version_ 1783330184259174400
author Li, Jun
Tan, Wenle
Peng, Linna
Zhang, Jialiang
Huang, Xudong
Cui, Qionghua
Zheng, Jian
Tan, Wen
Wu, Chen
Lin, Dongxin
author_facet Li, Jun
Tan, Wenle
Peng, Linna
Zhang, Jialiang
Huang, Xudong
Cui, Qionghua
Zheng, Jian
Tan, Wen
Wu, Chen
Lin, Dongxin
author_sort Li, Jun
collection PubMed
description BACKGROUND: Pancreatic duct adenocarcinoma (PDAC) remains a major health problem because conventional cancer treatments are relatively ineffective against it. Microarray studies have linked many genes to pancreatic cancer, but the available data have not been extensively mined for potential insights into PDAC. This study attempted to identify PDAC-associated genes and signaling pathways based on six microarray-based profiles of gene expression in pancreatic cancer deposited in the gene expression omnibus database. METHODS: Pathway network methods were used to analyze core pathways in six publicly available pancreatic cancer gene (GSE71989, GSE15471, GSE16515, GSE32676, GSE41368 and GSE28735) expression profiles. Genes potentially linked to PDAC were assessed for potential impact on survival time based on data in The Cancer Genome Atlas and International Cancer Genome Consortium databases, and the expression of one candidate gene (CKS2) and its association with survival was examined in 102 patients with PDAC from our hospital. Effects of CKS2 knockdown were explored in the PDAC cell lines BxPC-3 and CFPAC-1. RESULTS: The KEGG signaling pathway called “pathway in cancer” may play an important role in pancreatic cancer development and progression. Five genes (BIRC5, CKS2, ITGA3, ITGA6 and RALA) in this pathway were significantly associated with survival time in patients with PDAC. CKS2 was overexpressed in PDAC samples from our hospital, and higher CKS2 expression in these patients was associated with shorter survival time. CKS2 knockdown substantially inhibited PDAC cell proliferation in vitro. CONCLUSIONS: Analysis integrating existing microarray datasets allowed identification of the “pathway in cancer” as an important signaling pathway in PDAC. This integrative approach may be powerful for identifying genes and pathways involved in cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40880-018-0289-9) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5993144
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-59931442018-06-21 Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma Li, Jun Tan, Wenle Peng, Linna Zhang, Jialiang Huang, Xudong Cui, Qionghua Zheng, Jian Tan, Wen Wu, Chen Lin, Dongxin Cancer Commun (Lond) Original Article BACKGROUND: Pancreatic duct adenocarcinoma (PDAC) remains a major health problem because conventional cancer treatments are relatively ineffective against it. Microarray studies have linked many genes to pancreatic cancer, but the available data have not been extensively mined for potential insights into PDAC. This study attempted to identify PDAC-associated genes and signaling pathways based on six microarray-based profiles of gene expression in pancreatic cancer deposited in the gene expression omnibus database. METHODS: Pathway network methods were used to analyze core pathways in six publicly available pancreatic cancer gene (GSE71989, GSE15471, GSE16515, GSE32676, GSE41368 and GSE28735) expression profiles. Genes potentially linked to PDAC were assessed for potential impact on survival time based on data in The Cancer Genome Atlas and International Cancer Genome Consortium databases, and the expression of one candidate gene (CKS2) and its association with survival was examined in 102 patients with PDAC from our hospital. Effects of CKS2 knockdown were explored in the PDAC cell lines BxPC-3 and CFPAC-1. RESULTS: The KEGG signaling pathway called “pathway in cancer” may play an important role in pancreatic cancer development and progression. Five genes (BIRC5, CKS2, ITGA3, ITGA6 and RALA) in this pathway were significantly associated with survival time in patients with PDAC. CKS2 was overexpressed in PDAC samples from our hospital, and higher CKS2 expression in these patients was associated with shorter survival time. CKS2 knockdown substantially inhibited PDAC cell proliferation in vitro. CONCLUSIONS: Analysis integrating existing microarray datasets allowed identification of the “pathway in cancer” as an important signaling pathway in PDAC. This integrative approach may be powerful for identifying genes and pathways involved in cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40880-018-0289-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-27 /pmc/articles/PMC5993144/ /pubmed/29764514 http://dx.doi.org/10.1186/s40880-018-0289-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Original Article
Li, Jun
Tan, Wenle
Peng, Linna
Zhang, Jialiang
Huang, Xudong
Cui, Qionghua
Zheng, Jian
Tan, Wen
Wu, Chen
Lin, Dongxin
Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
title Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
title_full Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
title_fullStr Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
title_full_unstemmed Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
title_short Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
title_sort integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993144/
https://www.ncbi.nlm.nih.gov/pubmed/29764514
http://dx.doi.org/10.1186/s40880-018-0289-9
work_keys_str_mv AT lijun integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT tanwenle integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT penglinna integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT zhangjialiang integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT huangxudong integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT cuiqionghua integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT zhengjian integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT tanwen integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT wuchen integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma
AT lindongxin integrativeanalysisofgeneexpressionprofilesrevealsspecificsignalingpathwaysassociatedwithpancreaticductadenocarcinoma