Oncotarget

Research Papers:

Highly preserved consensus gene modules in human papilloma virus 16 positive cervical cancer and head and neck cancers

Xianglan Zhang, In-Ho Cha and Ki-Yeol Kim _

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Oncotarget. 2017; 8:114031-114040. https://doi.org/10.18632/oncotarget.23116

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Abstract

Xianglan Zhang1,2, In-Ho Cha2,3 and Ki-Yeol Kim4

1Department of Pathology, Yanbian University Medical College, Yanji City, Jilin Province, China

2Oral Cancer Research Institute, College of Dentistry, Yonsei University, Seoul, Korea

3Department of Oral and Maxillofacial Surgery, College of Dentistry, Yonsei University, Seoul, Korea

4Dental Education Research Center, BK21 PLUS Project, College of Dentistry, Yonsei University, Seoul, Korea

Correspondence to:

Ki-Yeol Kim, email: kky1004@yuhs.ac

Keywords: gene expression; consensus module; head and neck cancer; cervical cancer; multicancer therapy

Received: July 11, 2017     Accepted: November 15, 2017     Published: December 07, 2017

ABSTRACT

In this study, we investigated the consensus gene modules in head and neck cancer (HNC) and cervical cancer (CC). We used a publicly available gene expression dataset, GSE6791, which included 42 HNC, 14 normal head and neck, 20 CC and 8 normal cervical tissue samples. To exclude bias because of different human papilloma virus (HPV) types, we analyzed HPV16-positive samples only. We identified 3824 genes common to HNC and CC samples. Among these, 977 genes showed high connectivity and were used to construct consensus modules. We demonstrated eight consensus gene modules for HNC and CC using the dissimilarity measure and average linkage hierarchical clustering methods. These consensus modules included genes with significant biological functions, including ATP binding and extracellular exosome. Eigengen network analysis revealed the consensus modules were highly preserved with high connectivity. These findings demonstrate that HPV16-positive head and neck and cervical cancers share highly preserved consensus gene modules with common potentially therapeutic targets.


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