Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China.
Department of Hematology and Oncology, Children's Hospital of Nanjing Medical University, Nanjing, China.
World J Surg Oncol. 2022 May 28;20(1):169. doi: 10.1186/s12957-022-02641-y.
Improved understanding of the tumour microenvironment (TME) has enabled remarkable advancements in research on cancer progression in the past few years. It is crucial to understand the nature and function of the TME because precise treatment strategies, including immunotherapy, for managing specific cancers have received widespread attention. The immune infiltrative profiles of neuroblastoma (NB) have not yet been completely illustrated. The purpose of this research was to analyse tumour immune cell infiltration (ICI) in the microenvironment of NB.
We applied the CIBERSORT and ESTIMATE algorithms to evaluate the ICI status of 438 NB samples. Three ICI models were selected, and ICI scores were acquired. Subgroups with high ICI scores determined based on the presence of immune activation signalling pathways had better overall survival.
Genes involved in the immunosuppressive heparan sulphate glycosaminoglycan biosynthesis signalling pathway were markedly enriched in the low ICI score subgroup. It was inferred that patients with high ICI NB subtypes were more likely to respond to immunotherapy and have a better prognosis than those of patients with low ICI NB subtypes.
Notably, our ICI data not only provide a new clinical and theoretical basis for mining NB prognostic markers related to the microenvironment but also offer new ideas for the development of NB precision immunotherapy methods.
在过去的几年中,对肿瘤微环境(TME)的深入了解使得癌症进展研究取得了显著进展。了解 TME 的性质和功能至关重要,因为针对特定癌症的精确治疗策略,包括免疫疗法,已经受到广泛关注。神经母细胞瘤(NB)的免疫浸润特征尚未完全阐明。本研究旨在分析 NB 微环境中的肿瘤免疫细胞浸润(ICI)。
我们应用 CIBERSORT 和 ESTIMATE 算法评估了 438 个 NB 样本的 ICI 状态。选择了三种 ICI 模型,并获得了 ICI 评分。根据免疫激活信号通路的存在,确定了 ICI 评分高的亚组,这些亚组具有更好的总体生存率。
低 ICI 评分亚组中明显富集了参与免疫抑制硫酸乙酰肝素糖胺聚糖生物合成信号通路的基因。可以推断,高 ICI NB 亚型的患者比低 ICI NB 亚型的患者更有可能对免疫疗法产生反应,并且预后更好。
值得注意的是,我们的 ICI 数据不仅为挖掘与微环境相关的 NB 预后标志物提供了新的临床和理论基础,也为 NB 精准免疫治疗方法的发展提供了新的思路。