Han Ying, Wang Xiaomeng, Xia Kun, Su Tong
Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital of Central South University, Changsha, China.
Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.
Ann Transl Med. 2021 Oct;9(20):1565. doi: 10.21037/atm-21-4990.
Oral squamous cell carcinoma (OSCC), as the most common oral cancer globally, is very harmful to people's health. Hypoxia is closely related to many cancers. In this study, we have conducted a comprehensive exploration of the impact of hypoxia on OSCC.
First, we calculated the enrichment score (ES) of hypoxia-related genes in the sample based on the enrichment analysis of the single sample Gene Set Enrichment Analysis (ssGSEA) and expressed it as a potential hypoxia index (HPI). We first identified the relationship between HPI and survival time in OSCC tumor samples. Then we assessed the correlation between hypoxia and the degree of infiltration of various immune cells in OSCC tissues, and screened out gene mutations that may be related to HPI in OSCC. Finally, we constructed a prognostic model of hypoxia-related genes.
In the immune cell infiltration of OSCC, we found that hypoxia was significantly related to the infiltration of eosinophils, macrophages, neutrophils, T helper cells and Th1 cells. In addition, NSD1 mutations may become a signal to suggest that patients with OSCC have higher HPI. Finally, we constructed a prognostic model of 6 sets of hypoxia-related genes (PGK1, JMJD6, S100A4, SLC2A3, DDIT4 and HK1) in OSCC.
Hypoxia is closely related to immune cell infiltration, gene mutation, and prognosis in OSCC patients.
口腔鳞状细胞癌(OSCC)作为全球最常见的口腔癌,对人们的健康危害极大。缺氧与许多癌症密切相关。在本研究中,我们对缺氧对OSCC的影响进行了全面探索。
首先,基于单样本基因集富集分析(ssGSEA)的富集分析计算样本中缺氧相关基因的富集分数(ES),并将其表示为潜在缺氧指数(HPI)。我们首先确定了OSCC肿瘤样本中HPI与生存时间的关系。然后评估缺氧与OSCC组织中各种免疫细胞浸润程度的相关性,并筛选出OSCC中可能与HPI相关的基因突变。最后,我们构建了缺氧相关基因的预后模型。
在OSCC的免疫细胞浸润中,我们发现缺氧与嗜酸性粒细胞、巨噬细胞、中性粒细胞、辅助性T细胞和Th1细胞的浸润显著相关。此外,NSD1突变可能成为提示OSCC患者具有较高HPI的一个信号。最后,我们构建了OSCC中6组缺氧相关基因(PGK1、JMJD6、S100A4、SLC2A3、DDIT4和HK1)的预后模型。
缺氧与OSCC患者的免疫细胞浸润、基因突变及预后密切相关。