Granai Massimo, Mundo Lucia, Akarca Ayse U, Siciliano Maria Chiara, Rizvi Hasan, Mancini Virginia, Onyango Noel, Nyagol Joshua, Abinya Nicholas Othieno, Maha Ibrahim, Margielewska Sandra, Wi Wenbin, Bibas Michele, Piccaluga Pier Paolo, Quintanilla-Martinez Leticia, Fend Falko, Lazzi Stefano, Leoncini Lorenzo, Marafioti Teresa
1Department of Medical Biotechnology, University of Siena, Siena, Italy.
2University Hospital of Tübingen, Institute of Pathology, Tübingen, Germany.
Infect Agent Cancer. 2020 May 6;15:28. doi: 10.1186/s13027-020-00292-w. eCollection 2020.
The Tumor Microenviroment (TME) is a complex milieu that is increasingly recognized as a key factor in multiple stages of disease progression and responses to therapy as well as escape from immune surveillance. However, the precise contribution of specific immune effector and immune suppressor components of the TME in Burkitt lymphoma (BL) remains poorly understood.
In this paper, we applied the computational algorithm CIBERSORT to Gene Expression Profiling (GEP) datasets of 40 BL samples to draw a map of immune and stromal components of TME. Furthermore, by multiple immunohistochemistry (IHC) and multispectral immunofluorescence (IF), we investigated the TME of additional series of 40 BL cases to evaluate the role of the Programmed Death-1 and Programmed Death Ligand-1 (PD-1/PD-L1) immune checkpoint axis.
Our results indicate that M2 polarized macrophages are the most prominent TME component in BL. In addition, we investigated the correlation between PD-L1 and latent membrane protein-2A (LMP2A) expression on tumour cells, highlighting a subgroup of BL cases characterized by a non-canonical latency program of EBV with an activated PD-L1 pathway.
In conclusion, our study analysed the TME in BL and identified a tolerogenic immune signature highlighting new potential therapeutic targets.
肿瘤微环境(TME)是一个复杂的环境,越来越被认为是疾病进展、对治疗的反应以及逃避免疫监视等多个阶段的关键因素。然而,TME中特定免疫效应器和免疫抑制成分在伯基特淋巴瘤(BL)中的具体作用仍知之甚少。
在本文中,我们将计算算法CIBERSORT应用于40个BL样本的基因表达谱(GEP)数据集,以绘制TME的免疫和基质成分图谱。此外,通过多重免疫组织化学(IHC)和多光谱免疫荧光(IF),我们研究了另外40例BL病例的TME,以评估程序性死亡1和程序性死亡配体1(PD-1/PD-L1)免疫检查点轴的作用。
我们的结果表明,M2极化巨噬细胞是BL中最突出的TME成分。此外,我们研究了肿瘤细胞上PD-L1与潜伏膜蛋白2A(LMP2A)表达之间的相关性,突出了一组以EBV非典型潜伏程序和激活的PD-L1途径为特征的BL病例。
总之,我们的研究分析了BL中的TME,并确定了一种促耐受性免疫特征,突出了新的潜在治疗靶点。