Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation

<p>Abstract</p> <p>Background</p> <p>Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioi...

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Main Authors: Liao ZhiJun, Zheng WenLing, Liang Shuang, Chen Xia, Shang Tao, Ma WenLi
Format: Article
Language:English
Published: BMC 2008-07-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/9/322
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spelling doaj-d1b273b51d4d4d578e58fe1152c5cd802020-11-24T21:41:22ZengBMCBMC Genomics1471-21642008-07-019132210.1186/1471-2164-9-322Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformationLiao ZhiJunZheng WenLingLiang ShuangChen XiaShang TaoMa WenLi<p>Abstract</p> <p>Background</p> <p>Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioinformatics with evidences from biological experiments paved a new way to gain more insights into the molecular mechanism of cancer.</p> <p>Results</p> <p>We profiled gene expression using a meta-analysis approach. Two sets of meta-genes were obtained. Meta-A genes were identified by finding those commonly activated/deactivated upon EBV infection/reactivation. These genes could be key players for pathways de-regulated by EBV during latent infection and lytic proliferation. Meta-B genes were obtained from differential genes commonly expressed in NPC and PEL (primary effusion lymphoma). We then integrated meta-A, meta-B and associated factors into an interaction network using acquired information. Our analysis suggests that NPC transformation depends on timely regulation of DEK, CDK inhibitor(s), p53, RB and several transcriptional cascades, interconnected by E2F, AP-1, NF-κB, STAT3 among others during latent and lytic cycles.</p> <p>Conclusion</p> <p>In conclusion, our meta-analysis strategy re-analyzed EBV-related tumor data sets and identified sets of meta-genes possibly involved in maintaining latent or switching to lytic cycles of EBV in NPC. The results of this analysis may shed new lights to further our understanding of the EBV-led neoplastic transformation.</p> http://www.biomedcentral.com/1471-2164/9/322
collection DOAJ
language English
format Article
sources DOAJ
author Liao ZhiJun
Zheng WenLing
Liang Shuang
Chen Xia
Shang Tao
Ma WenLi
spellingShingle Liao ZhiJun
Zheng WenLing
Liang Shuang
Chen Xia
Shang Tao
Ma WenLi
Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation
BMC Genomics
author_facet Liao ZhiJun
Zheng WenLing
Liang Shuang
Chen Xia
Shang Tao
Ma WenLi
author_sort Liao ZhiJun
title Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation
title_short Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation
title_full Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation
title_fullStr Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation
title_full_unstemmed Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation
title_sort meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of ebv-regulated neoplastic transformation
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2008-07-01
description <p>Abstract</p> <p>Background</p> <p>Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioinformatics with evidences from biological experiments paved a new way to gain more insights into the molecular mechanism of cancer.</p> <p>Results</p> <p>We profiled gene expression using a meta-analysis approach. Two sets of meta-genes were obtained. Meta-A genes were identified by finding those commonly activated/deactivated upon EBV infection/reactivation. These genes could be key players for pathways de-regulated by EBV during latent infection and lytic proliferation. Meta-B genes were obtained from differential genes commonly expressed in NPC and PEL (primary effusion lymphoma). We then integrated meta-A, meta-B and associated factors into an interaction network using acquired information. Our analysis suggests that NPC transformation depends on timely regulation of DEK, CDK inhibitor(s), p53, RB and several transcriptional cascades, interconnected by E2F, AP-1, NF-κB, STAT3 among others during latent and lytic cycles.</p> <p>Conclusion</p> <p>In conclusion, our meta-analysis strategy re-analyzed EBV-related tumor data sets and identified sets of meta-genes possibly involved in maintaining latent or switching to lytic cycles of EBV in NPC. The results of this analysis may shed new lights to further our understanding of the EBV-led neoplastic transformation.</p>
url http://www.biomedcentral.com/1471-2164/9/322
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