Highly preserved consensus gene modules in human papilloma virus 16 positive cervical cancer and head and neck cancers
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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
Ki-Yeol Kim, email: [email protected]
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
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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