ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
Transcriptomic characterization of differential gene expression in oral squamous cell carcinoma: a meta-analysis of publicly available microarray data sets.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distinct gene expression characteristics in epithelial cell-International journal of medical sciences · 2019Pooled it
- Review
- A comprehensive transcriptome based meta-analysis to unveil the aggression nexus of oral squamous cell carcinoma.Biochemistry and biophysics reports · 2025Article
- Genomic landscape and gene expression profiles of feline oral squamous cell carcinoma.Frontiers in veterinary science · 2023Article
- Digesting the Role of JAK-STAT and Cytokine Signaling in Oral and Gastric Cancers.Frontiers in immunology · 2022Review
- Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- Biomarkers: paving stones on the road towards the personalized precision medicine for oral squamous cell carcinoma.BMC cancer · 2018Review
- Gene Expression Signatures for Head and Neck Cancer Patient Stratification: Are Results Ready for Clinical Application?Current treatment options in oncology · 2017Review
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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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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Registered trials
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