Wang Chao, Chen Zhihong, Yang Xueming, Zhang Wei, Zhou Junbo, Zhang Hongchuang, Ding Xu, Ye Jinhai, Wu Heming, Wu Yunong, Zheng Yang, Song Xiaomeng
Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Int J Gen Med. 2022 Mar 2;15:2361-2376. doi: 10.2147/IJGM.S349379. eCollection 2022.
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.
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.
LCK, IL10RA, and TNFRSF1B were selected as biomarkers related to regulatory T cell infiltration. IHC staining showed significantly increased expression of or 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 or knockdown efficiently impaired the proliferative, migrative, and invasive capacity in OSCC cell lines.
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.
口腔鳞状细胞癌（OSCC）是全球最常见的恶性肿瘤之一。最近，免疫检查点抑制剂的应用为癌症治疗开辟了更多可能性。
我们在TCGA数据库中利用加权基因共表达网络和单样本基因集富集分析（ssGSEA）算法，鉴定出一个与OSCC中调节性T细胞（Treg）丰度高度相关的模块。随后，我们通过组织芯片验证结果，并利用免疫组织化学染色（IHC）检测表达水平与临床病理分期之间的关系。采用CCK-8、transwell和伤口愈合试验检测OSCC细胞的功能。
选择LCK、IL10RA和TNFRSF1B作为与调节性T细胞浸润相关的生物标志物。免疫组化染色显示OSCC患者中 或 的表达显著增加，且表达水平与肿瘤分期、淋巴结转移、病理分期、临床状态和总生存率相关。体外实验表明，敲低 或 可有效损害OSCC细胞系的增殖、迁移和侵袭能力。
我们在OSCC中进行了一系列生物信息学分析，鉴定出三个致癌指标：LCK、IL10RA、TNFRSF1B。这些发现揭示了枢纽基因的潜在预后价值，从而为OSCC的深入研究奠定了基础。
