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

Xianglan Zhang, In Ho Cha, Ki Yeol Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)114031-114040
Number of pages10
JournalOncotarget
Volume8
Issue number69
DOIs
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Oncology

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