Dataset Information

Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis.

ABSTRACT: In order to identify potential diagnostic and prognostic biomarkers, and treatment targets for head and neck squamous cell carcinoma (HNSCC), the present study obtained the gene expression profiles in HNSCC through public data mining, and core genes were identified using a series of bioinformatics analysis methods and databases. A total of nine hub genes (SPP1, ITGA6, TMPRSS11D, MMP1, LAMC2, FAT1, ACTA1, SERPINE1 and CEACAM1) were identified to be significantly correlated with HNSCC. Furthermore, overall survival analysis demonstrated that the expression values of hub genes were associated with overall survival in HNSCC. Furthermore, certain of the identified genes, including, TMPRSS11D, ACTA1 and CEACAM1, have not been thoroughly investigated in HNSCC previously. Taken together, the nine hub genes obtained by screening in the present study may serve as potential tumor markers and important prognostic indicators for HNSCC.

SUBMITTER: Zhao L

PROVIDER: S-EPMC6297764 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis.

Zhao Lei L Chi Weiwei W Cao Huan H Cui Weina W Meng Wenxia W Guo Wei W Wang Baoshan B

Molecular medicine reports 20181109 1

In order to identify potential diagnostic and prognostic biomarkers, and treatment targets for head and neck squamous cell carcinoma (HNSCC), the present study obtained the gene expression profiles in HNSCC through public data mining, and core genes were identified using a series of bioinformatics analysis methods and databases. A total of nine hub genes (SPP1, ITGA6, TMPRSS11D, MMP1, LAMC2, FAT1, ACTA1, SERPINE1 and CEACAM1) were identified to be significantly correlated with HNSCC. Furthermore ...[more]

PMID: 30431092

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Project description:Head and neck squamous cell carcinoma (HNSC) is the 6th most common cancer around the globe; its underlying molecular mechanisms and accurate molecular markers are still lacking. In this study, we explored hub genes and their potential signaling pathways through which these genes participate in the development of HNSC. The GSE23036 gene microarray dataset was attained from the GEO (Gene Expression Omnibus) database. Hub genes were identified via the Cytohubba plug-in application of the Cytoscape. The Cancer Genome Atlas (TCGA) datasets and cell lines (HOK and FuDu) were used to evaluate expression variations in the hub genes. Moreover, promoter methylation, genetic alteration, gene enrichment, miRNA network, and immunocyte infiltration analysis were also performed to confirm the oncogenic role and biomarker potential of the hub genes in HNSC patients. Based on the hub gene analysis results, four hub genes, including KNTC1 (Kinetochore Associated 1), CEP55 (Centrosomal protein of 55 kDa), AURKA (Aurora A Kinase), and ECT2 (Epithelial Cell Transforming 2), with the highest degree scores were denoted as hub genes. All these four genes were significantly up-regulated in HNSC clinical samples and cell lines relative to their counterparts. Overexpression of KNTC1, CEP55, AURKA, and ECT2 was also associated with poor survival and various clinical parameters of the HNSC patients. Methylation analysis through targeted bisulfite sequencing of HOK and FuDu cell lines revealed that the overexpression of KNTC1, CEP55, AURKA, and ECT2 hub genes was due to their promoter hypomethylation. Moreover, higher expressions of KNTC1, CEP55, AURKA, and ECT2 were positively correlated with the abundance of the CD4+ T cells and macrophage while with the reduction of CD8+ T cells in HNSC samples. Finally, gene enrichment analysis showed that all hub genes are involved in "nucleoplasm, centrosome, mitotic spindle, and cytosol" pathways. In conclusion, the KNTC1, CEP55, AURKA, and ECT2 genes could be potential biomarkers for HNSC patients and provide a novel insight into the diagnosis and treatment of the disease.

Dataset Information

Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis.

Publications

Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis.

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