Department of Medical Laboratory Center, Tumor Hospital Affiliated to Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, Xinjiang, China.
91593Basic Medical College of Xinjiang Medical University, Urumqi, Xinjiang, China.
Technol Cancer Res Treat. 2022 Jan-Dec;21:15330338221106530. doi: 10.1177/15330338221106530.
Research on the role of mast cells (MCs) in cervical tumor immunity is more limited. Therefore, our study aimed to evaluate the prognostic value of MCs and their correlation with the immune microenvironment of cervical carcinoma (CC). The Cancer Genome Atlas (TCGA) data was utilized to obtain the degree of immune infiltration of MCs in CC. Meanwhile, this study retrospectively collected patient clinical characteristic data and tissue specimens to further verify the relevant conclusions. Mast cell density (MCD) was measured by the CIBERSORT algorithm in TCGA data and immunohistochemical staining of tryptase in CC tissues. Finally, differentially expressed genes (DEGs) of TCGA data were performed using "limma" packages and key gene modules were identified using the MCODE application in Cytoscape. The results showed MCs were diffusely distributed in CC tissues. Moreover, we found that low tumor-infiltrating MCD was beneficial for overall survival (OS) in the TCGA cohort. Consistent conclusions were also obtained in a clinical cohort. In addition, a total of 305 DEGs were analyzed between the high tumor-infiltrating MCD and low tumor-infiltrating MCD group. Seven key modules, a total of 34 genes, were screened through the MCODE plug-in, which was mainly related to inflammatory response and immune response and closely correlated with cytokines including CSF2, CCL20, IL1A, IL1B, and CXCL8. In short, high tumor-infiltration MCs in CC tissue was associated with worse OS in patients. Furthermore, MCs were closely related to cytokines in the tumor microenvironment, suggesting that they collectively played a role in the immune response of the tumor. Therefore, MCD may be a potential prognostic indicator and immunotherapy target of CC.
关于 mast cells (MCs) 在宫颈肿瘤免疫中的作用的研究更为有限。因此,本研究旨在评估 MCs 的预后价值及其与宫颈癌 (CC) 免疫微环境的相关性。我们利用 The Cancer Genome Atlas (TCGA) 数据获得 CC 中 MC 免疫浸润程度。同时,本研究回顾性收集患者临床特征数据和组织标本,以进一步验证相关结论。在 TCGA 数据中,使用 CIBERSORT 算法测量 mast cell density (MCD),并对 CC 组织进行 tryptase 免疫组织化学染色。最后,使用“limma”包对 TCGA 数据进行差异表达基因 (DEGs) 分析,并在 Cytoscape 中使用 MCODE 应用程序识别关键基因模块。结果表明 MCs 在 CC 组织中呈弥漫性分布。此外,我们发现 TCGA 队列中低肿瘤浸润性 MCD 有利于总生存 (OS)。在临床队列中也得出了一致的结论。此外,我们分析了高肿瘤浸润性 MCD 和低肿瘤浸润性 MCD 组之间的 305 个 DEGs。通过 MCODE 插件筛选出 7 个关键模块,共 34 个基因,主要与炎症反应和免疫反应有关,与 CSF2、CCL20、IL1A、IL1B 和 CXCL8 等细胞因子密切相关。总之,CC 组织中高肿瘤浸润性 MCs 与患者的 OS 较差相关。此外,MCs 与肿瘤微环境中的细胞因子密切相关,表明它们共同参与了肿瘤的免疫反应。因此,MCD 可能是 CC 的潜在预后指标和免疫治疗靶点。