Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
Haematologica. 2021 Mar 1;106(3):718-729. doi: 10.3324/haematol.2019.243626.
The tumor microenvironment (TME) and limited immune surveillance play important roles in lymphoma pathogenesis. Here we aimed to characterize immunological profiles of diffuse large B-cell lymphoma (DLBCL) and predict the outcome in response to immunochemotherapy. We profiled the expression of 730 immune-related genes in tumor tissues of 81 patients with DLBCL utilizing the Nanostring platform, and used multiplex immunohistochemistry to characterize T-cell phenotypes, including cytotoxic T cells (CD8, Granzyme B, OX40, Ki67), T-cell immune checkpoint (CD3, CD4, CD8, PD1, TIM3, LAG3), as well as regulatory T-cells and Th1 effector cells (CD3, CD4, FOXP3, TBET) in 188 patients. We observed a high degree of heterogeneity at the transcriptome level. Correlation matrix analysis identified gene expression signatures with highly correlating genes, the main cluster containing genes for cytolytic factors, immune checkpoint molecules, T cells and macrophages, together named a TME immune cell signature. Immunophenotyping of the distinct cell subsets revealed that a high proportion of immune checkpoint positive T cells translated to unfavorable survival. Together, our results demonstrate that the immunological profile of DLBCL TME is heterogeneous and clinically meaningful. This highlights the potential impact of T-cell immune checkpoint in regulating survival and resistance to immunochemotherapy. (Registered at clinicaltrials.gov identifiers: NCT01502982 and NCT01325194.)
肿瘤微环境(TME)和有限的免疫监视在淋巴瘤发病机制中起着重要作用。在这里,我们旨在描述弥漫性大 B 细胞淋巴瘤(DLBCL)的免疫特征,并预测对免疫化学疗法的反应结果。我们利用 Nanostring 平台对 81 例 DLBCL 患者的肿瘤组织中 730 个免疫相关基因的表达进行了分析,并利用多聚酶链式反应免疫组化技术对 T 细胞表型进行了特征分析,包括细胞毒性 T 细胞(CD8、Granzyme B、OX40、Ki67)、T 细胞免疫检查点(CD3、CD4、CD8、PD1、TIM3、LAG3),以及调节性 T 细胞和 Th1 效应细胞(CD3、CD4、FOXP3、TBET)在 188 例患者中进行了特征分析。我们观察到转录组水平存在高度异质性。相关矩阵分析确定了具有高度相关基因的基因表达特征,主要聚类包含细胞毒性因子、免疫检查点分子、T 细胞和巨噬细胞的基因,共同命名为 TME 免疫细胞特征。不同细胞亚群的免疫表型分析表明,大量免疫检查点阳性 T 细胞与不良生存相关。总之,我们的结果表明,DLBCL TME 的免疫特征是异质的,具有临床意义。这突显了 T 细胞免疫检查点在调节生存和对免疫化学疗法的耐药性方面的潜在影响。(在 clinicaltrials.gov 标识符:NCT01502982 和 NCT01325194 注册。)