Sato Yasuyoshi, Wada Ikuo, Odaira Kosuke, Hosoi Akihiro, Kobayashi Yukari, Nagaoka Koji, Karasaki Takahiro, Matsushita Hirokazu, Yagi Koichi, Yamashita Hiroharu, Fujita Masashi, Watanabe Shuichi, Kamatani Takashi, Miya Fuyuki, Mineno Junichi, Nakagawa Hidewaki, Tsunoda Tatsuhiko, Takahashi Shunji, Seto Yasuyuki, Kakimi Kazuhiro
Department of Immunotherapeutics The University of Tokyo Hospital Tokyo Japan.
Department of Gastrointestinal Surgery Graduate School of Medicine The University of Tokyo Tokyo Japan.
Clin Transl Immunology. 2020 Oct 17;9(10):e1194. doi: 10.1002/cti2.1194. eCollection 2020.
A better understanding of antitumor immunity will help predict the prognosis of gastric cancer patients and tailor the appropriate therapies in each patient. Therefore, we propose a novel immunological classification of gastric cancer.
We performed whole-exome sequencing (WES), RNA-Seq and flow cytometry in 29 gastric cancer patients who received surgery. The TCGA data set of 323 gastric cancer patients and RNA-Seq data of 45 patients who received pembrolizumab (Kim . 2018; : 1449-1458) were also analysed.
Immunogram analysis of cancer-immunity interaction of gastric cancer revealed immune signatures of four main types, designated Hot1, Hot2, Intermediate and Cold. Immunologically hot tumors displayed a dysfunctional T-cell signature, while cold tumors had an exclusion signature. tumor-infiltrating lymphocyte analysis documented T-cell dysfunction with the expression of checkpoint molecules and impaired cytokine production. The T-cell function was more profoundly damaged in Hot1 than Hot2 tumors. Patients in Hot2 subtypes had better survival in our cohort and TCGA cohort. Although these immunological subtypes overlapped to some degree with the molecular subtypes in the TCGA, intratumoral immune responses cannot be predicted solely based on histological or molecular subtyping of gastric cancer. Molecular and immunological classifications complement each other to predict the responses to anti-PD-1 therapy and have the potential to be a biomarker for the treatment of gastric cancer.
The immunological classification of gastric cancer resulted in four subtypes. Hot tumors were further divided into two subtypes, between which the functional status of T cells was different.
更好地理解抗肿瘤免疫将有助于预测胃癌患者的预后,并为每位患者量身定制合适的治疗方案。因此,我们提出了一种新的胃癌免疫分类方法。
我们对29例接受手术的胃癌患者进行了全外显子组测序(WES)、RNA测序和流式细胞术分析。还分析了323例胃癌患者的TCGA数据集以及45例接受帕博利珠单抗治疗患者的RNA测序数据(Kim. 2018; : 1449 - 1458)。
胃癌癌 - 免疫相互作用的免疫图谱分析揭示了四种主要类型的免疫特征,分别命名为Hot1、Hot2、中间型和冷型。免疫热肿瘤表现出功能失调的T细胞特征,而冷肿瘤具有排除特征。肿瘤浸润淋巴细胞分析记录了T细胞功能障碍,伴有检查点分子的表达和细胞因子产生受损。Hot1肿瘤中T细胞功能的损伤比Hot2肿瘤更严重。在我们的队列和TCGA队列中,Hot2亚型的患者生存情况更好。尽管这些免疫亚型在一定程度上与TCGA中的分子亚型重叠,但不能仅基于胃癌的组织学或分子亚型来预测肿瘤内免疫反应。分子和免疫分类相互补充,以预测对抗PD - 1治疗的反应,并有潜力成为胃癌治疗的生物标志物。
胃癌的免疫分类产生了四种亚型。热肿瘤进一步分为两个亚型,其间T细胞的功能状态不同。