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基于综合生物信息学分析的口腔鳞状细胞癌调节性 T 细胞浸润相关生物标志物的鉴定
Authors Wang C, Chen Z, Yang X, Zhang W, Zhou J, Zhang H, Ding X, Ye J, Wu H, Wu Y, Zheng Y, Song X
Received 23 November 2021
Accepted for publication 4 February 2022
Published 2 March 2022 Volume 2022:15 Pages 2361—2376
DOI https://doi.org/10.2147/IJGM.S349379
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Dr Scott Fraser
Background: Oral squamous cell carcinoma (OSCC) is one of the most prevalent malignancies worldwide. More recently, the administration of immune checkpoint inhibitors has opened up more possibilities for cancer treatment.
Methods: We utilized a weighted gene co-expression network and the single sample gene set enrichment analysis (ssGSEA) algorithm in the TCGA database and identified a module highly correlated with regulatory T cell (Treg) abundance in OSCC. Subsequently, we verified the results by tissue microarrays and utilized immunohistochemical staining (IHC) to test the relationship between the expression level and clinicopathological staging. CCK-8, transwell, and wound healing assays were utilized to detect the functions of OSCC cells.
Results: LCK, IL10RA, and TNFRSF1B were selected as biomarkers related to regulatory T cell infiltration. IHC staining showed significantly increased expression of LCK, IL10RA or TNFRSF1B in OSCC patients, and the expression levels were associated with tumor stage, lymph node metastasis, pathological stage, clinical status and the overall survival. In vitro experiments showed that LCK, IL10RA or TNFRSF1B knockdown efficiently impaired the proliferative, migrative, and invasive capacity in OSCC cell lines.
Conclusion: We performed a series of bioinformatics analyses in OSCC and identified three oncogenic indicators: LCK, IL10RA, TNFRSF1B. These findings uncovered the potential prognostic values of hub genes, thus laying foundations for in-depth research in OSCC.
Keywords: oral squamous cell carcinoma, regulatory T cell, lymphocyte cell-specific protein-tyrosine kinase, LCK , TNF receptor superfamily member 1B, TNFRSF1B , interleukin 10 receptor subunit alpha, IL10RA