Department of Clinical Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Suita, Japan.
Department of Oral and Maxillofacial Surgery II, Graduate School of Dentistry, Osaka University, Suita, Japan.
Anticancer Res. 2022 May;42(5):2383-2393. doi: 10.21873/anticanres.15717.
Tumor immunity in the tumor microenvironment is activated in patients with feasible clinical responses to immune checkpoint inhibitors. The immunological profile of tumor-infiltrating lymphocytes (TILs) obtained from patients with oral squamous cell carcinoma (OSCC) was examined in relation to their prognosis.
Surface antigens, including immune checkpoint molecules, on TILs from 31 patients with primary OSCC were analyzed by flow cytometry. The activation status of TILs was examined through a heatmap analysis and unsupervised clustering classified patients into groups with activated or inactivated TILs. A supervised machine-learning algorithm for single-cell analyses in relation to prognosis was run using the Cluster Identification, Characterization, and Regression (CITRUS) program.
None of surface antigens were related to prognosis. The CITRUS program revealed a relationship between CD45RACD4 CD25 inducible T-cell co-stimulator (ICOS) TILs and recurrence, and also identified a similar fraction significantly specific to the group with activated TILs. The disease-free survival rate for patients with ≥95% ICOS TILs was significantly lower than that for those with <95% ICOS TILs. Furthermore, a review of clinicopathological factors related to prognosis identified the percentage of ICOS TILs to be an independent prognostic factor for patients with OSCC.
CD25ICOS regulatory T-cells in TILs have potential as a biomarker for predicting recurrence after surgical treatment and clinical responses to immune checkpoint inhibitors in patients with OSCC.
在对免疫检查点抑制剂有临床反应可行性的患者中,肿瘤微环境中的肿瘤免疫被激活。本文研究了口腔鳞状细胞癌(OSCC)患者肿瘤浸润淋巴细胞(TILs)的免疫表型与预后的关系。
采用流式细胞术分析 31 例原发性 OSCC 患者 TIL 表面抗原,包括免疫检查点分子。通过热图分析和无监督聚类分析来检查 TIL 的激活状态,并将患者分为 TIL 激活或失活的组。使用 Cluster Identification、Characterization、and Regression(CITRUS)程序对与预后相关的单细胞分析进行了监督机器学习算法。
表面抗原均与预后无关。CITRUS 程序显示,CD45RACD4 CD25 诱导型 T 细胞共刺激(ICOS)TIL 与复发有关,还确定了一个与 TIL 激活组显著相关的相似分数。≥95%ICOS TIL 患者的无复发生存率明显低于<95%ICOS TIL 患者。此外,对与预后相关的临床病理因素的回顾性分析表明,ICOS TIL 的百分比是 OSCC 患者的独立预后因素。
TIL 中的 CD25ICOS 调节性 T 细胞可能成为预测 OSCC 患者手术后复发和对免疫检查点抑制剂临床反应的生物标志物。