4.6 Article

Expression and prognostic analysis of BGN in head and neck squamous cell carcinoma

Journal

GENE
Volume 827, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.gene.2022.146461

Keywords

BGN; Head and neck squamous cell carcinoma; Database; Prognosis

Funding

  1. Health science and technology program in Nanshan district, Shenzhen, China [NS2021163]
  2. Shenzhen Key Laboratory Foundation [ZDSYS20200811143757022]
  3. Sanming Project of Shenzhen [SZSM202111004]

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This study found that BGN is highly expressed in Head and neck squamous cell carcinoma (HNSC) and is associated with poor clinical outcome. BGN may serve as a potential prognostic biomarker for patients survival in HNSC.
Objective: BGN belongs to class of small leucine rich proteoglycans, which is high expression in plenty of human cancers. However, the detailed role of BGN remains unclear in Head and neck squamous cell carcinoma (HNSC). Materials and Methods: In this study, we assessed the transcriptional expression, protein expression, prognosis, coexpressed genes, functional enrichment, and hub genes in HNSC patients based on the data published in the following databases: ONCOMINE, GEPIA, GEO, LinkedOmics, and HPA databases. Data from the TCGA database was used to analyze the correlations between BGN expression and different clinicopathological features, as well as prognostic analysis. Results: We found that the expression of BGN is higher in patients with HNSC than in control tissues. Pathologically, high BGN expression was significantly correlated with T3 and T4 stage. Besides, high expression of BGN is a poor prognostic factor for overall surviva, not disease free survival. The co-expression genes associated with BGN expression exhibited enriched in various function and pathway, such as extracellular matrix, mitochondrion, PI3K-Akt signaling pathway. A total of 10 hub genes were identified from the co-expressed genes, within which five genes, including FSTL1, LAMB1, SDC2, VCAN, and IGFBP7, were significantly increased in patient's with HNSC. BGN exhibited weak correlations with tumor-infiltrating CD4+ T, macrophages cell, and dendritic cells. Futhermore, many markers of infiltrating immune cells, such as Treg, showed different BGNrelated immune infiltration patterns. BGN expression showed strong correlations with diverse immune marker sets in COAD and STAD. Conclusions: Our results demonstrated that BGN is high expression in HNSC and is a poor prognostic factor for clinical outcome in patients with HNSC. It could serve as a potential prognostic biomarker for patients survival in HNSC.

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