J Cancer 2018; 9(2):400-406. doi:10.7150/jca.21381

Research Paper

Identification of Biomarker for Cutaneous Squamous Cell Carcinoma Using Microarray Data Analysis

Wei Wei1*, Yan Chen2*, Jie Xu3*, Yu Zhou3, Xinping Bai4, Ming Yang4✉, Ju Zhu4✉

1. Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China;
2. Oncology Department, Huai'an Second People's Hospital, The Affiliated Huaian Hospital of Xuzhou Medical University, Huai'an, China;
3. Department of Dermatology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China;
4. Department of Plastic Surgery, The Central hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
* Co-first authors

Abstract

Cutaneous squamous cell carcinoma (CSCC) is one of the most malignant tumors worldwide. We aimed to explore the molecular mechanism of this CSCC and screen feature genes that can function as the biomarker of CSCC and thus provide a theoretical basis for the pathogenesis research and development of medicine. The method of microarray data analysis was used in this study to explore the differentially expressed genes between tissues of normal specimens and tissues of patients with CSCC. Besides, functional enrichment analysis and signal pathway were performed on these genes to screen the feature genes that are closely associated with CSCC can function as the potential biomarkers of CSCC.A total of 53 samples from two datasets, GSE45216 and GSE45164, were used in the differentially expressed analysis. And as a result, a total of 833 genes were screened out, including 465 up-regulated genes and 215 down-regulated genes. Candidate genes, including up-regulated genes like S100A12, MMP1, DEFB4B/DEFB4A, KRT16 and PI3, and down-regulated genes like EGR3, LRP4, C14orf132, PAMR1, CCL27, and KRT2 were screened out. All these genes were testified in the dataset of GSE66359. The result showed that only three genes, KRT16, PI3 and EGR3, were mostly differentially expressed and only EGR3 had the same expression pattern with both datasets, GSE45216 and GSE45164.Of note, EGR3 gene was found to be the most differentially expressed gene in cutaneous squamous cell carcinoma, which had the potential to function as the candidate genes and help in the diagnosis and prognostic treatments of CSCC.

Keywords: cutaneous squamous cell carcinoma, microarray data analysis, EGR3, biomarker.

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How to cite this article:
Wei W, Chen Y, Xu J, Zhou Y, Bai X, Yang M, Zhu J. Identification of Biomarker for Cutaneous Squamous Cell Carcinoma Using Microarray Data Analysis. J Cancer 2018; 9(2):400-406. doi:10.7150/jca.21381. Available from http://www.jcancer.org/v09p0400.htm