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Tumor Biology

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04.10.2016 | Original Article

Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets

verfasst von: Yang Sun, Zhijian Sang, Qian Jiang, Xiaojun Ding, Youcheng Yu

Erschienen in: Tumor Biology | Ausgabe 12/2016

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Abstract

Oral squamous cell carcinoma (OSCC) is a highly prevalent cancer worldwide, and OSCC often goes undiagnosed until advanced disease is present, which contributes to a low survival rate for OSCC patients. The identification of biomarkers for the early detection OSCC and novel therapeutic targets for OSCC treatment is an important research objective. We performed bioinformatics analyses of the gene expression profile of OSCC using microarray data to identify genes that contribute to the development of OSCC. We also predicted the transcription factors involved in the regulation of differential gene expression in OSCC. Our results showed that PI3K, EGFR, STAT1, and CPBP are important contributors to the changes in cellular physiology that occur during the development of OSCC. Therefore, these genes represent potential diagnostic biomarkers and therapeutic targets for OSCC.

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Titel: Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets
verfasst von: Yang Sun
Zhijian Sang
Qian Jiang
Xiaojun Ding
Youcheng Yu
Publikationsdatum: 04.10.2016
Verlag: Springer Netherlands
Erschienen in: Tumor Biology / Ausgabe 12/2016
Print ISSN: 1010-4283
Elektronische ISSN: 1423-0380
DOI: https://doi.org/10.1007/s13277-016-5439-6

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Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets

Abstract

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Abstract

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