Oncotarget

Research Papers:

Novel circular RNA expression profiles reflect progression of patients with hypopharyngeal squamous cell carcinoma

Shengda Cao, Dongmin Wei, Xu Li, Jieyu Zhou, Wenming Li, Ye Qian, Zhanwang Wang, Guojun Li, Xinliang Pan and Dapeng Lei _

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Oncotarget. 2017; 8:45367-45379. https://doi.org/10.18632/oncotarget.17488

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Abstract

Shengda Cao1,*, Dongmin Wei1,*, Xu Li3, Jieyu Zhou2, Wenming Li1, Ye Qian1, Zhanwang Wang1, Guojun Li3,4, Xinliang Pan1, Dapeng Lei1

1Department of Otorhinolaryngology, Qilu Hospital, Shandong University, Key Laboratory of Otolaryngology, NHFPC (Shandong University), Jinan 250012, P. R. China

2Department of Otorhinolaryngology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai 200011, P. R. China

3Department of Head and Neck Surgery, Houston, TX 77030, USA

4Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

*These authors contributed equally to this work

Correspondence to:

Xinliang Pan, email: [email protected]

Dapeng Lei, email: [email protected]

Keywords: circRNAs, hypopharyngeal squamous cell carcinoma, microarray analysis, miRNA sponges, bioinformatics analysis

Received: April 05, 2017     Accepted: April 15, 2017     Published: April 27, 2017

ABSTRACT

Circular RNAs (circRNAs), a novel class of endogenous noncoding RNAs, have been shown to have important roles in a number of diseases, including several types of cancers. We hypothesized that circRNAs are involved in the pathogenesis of hypopharyngeal squamous cell carcinoma (HSCC). To test our hypothesis, we initially compared the expression profiles of circRNAs in 4 paired HSCC and adjacent normal tissue samples by using a circRNA microarray. The microarray data showed that 2392 circRNAs, including 1304 upregulated and 1088 downregulated circRNA transcripts, were significantly dysregulated in the HSCC tissues. The 10 most dysregulated circRNAs from the microarray analysis were further validated in another 32 pairs of specimens using quantitative real-time polymerase chain reaction assays. These circRNAs might sponge microRNAs (miRNAs) in predicted circRNA-miRNA-mRNA networks. Bioinformatics analysis was also performed to predict possible pathways in which these networks might be involved. Finally, we analyzed the interaction between validated circRNAs and their potential cancer-related miRNA targets. We are the first to comprehensively delineate the expression profiles of circRNAs in HSCC and to provide potential candidates for future mechanism studies. Our study is potentially of critical significance in uncovering the roles of circRNAs in HSCC.


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