PO.BCS01.02 · 生物信息与计算
动物模型和人类患者肝癌发生过程中中性粒细胞的功能异质性
Functional heterogeneity of neutrophils in hepatocarcinogenesis in animal models and human patients
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
中性粒细胞在肿瘤微环境中的作用近来被广泛报道,但中性粒细胞异质性与肝脏肿瘤发生之间的关系仍不清楚。在本研究中,我们分析了来自184个样本的70707个细胞的转录组数据,剖析了肝病从健康组织经非酒精性脂肪性肝病(NAFLD)、非酒精性脂肪性肝炎(NASH)、纤维化和肝硬化到肝细胞癌(HCC)的进展过程。我们开发了一个优化的计算模型,利用单细胞RNA-seq数据评估肿瘤发展指数,并进一步用来自各种肿瘤类型的独立数据集加以验证。具体而言,我们的分析揭示了中性粒细胞比例与肿瘤发展指数之间存在显著正相关,提示中性粒细胞主动促进肝癌发生的进展。这一发现进一步被来自c-Myc/Alb-cre小鼠模型的scRNA-seq数据所证实。我们还鉴定出具有不同功能的中性粒细胞亚型,突显了肝脏肿瘤发生过程中的动态功能变化。这些结果证实了我们的肿瘤发生模型能够稳健地预测癌前阶段。它们还强调了中性粒细胞作为肝脏肿瘤进展关键介质的作用,并为靶向HCC免疫微环境提供了框架。
查看英文原文 English abstract
The role of neutrophils in the tumor microenvironment has been widely reported recently, but the relationship between neutrophil heterogeneity and liver tumorigenesis remains unclear. In this study, we analyzed transcriptomic data from 70707 cells across 184 samples, profiling the progression of liver disease from healthy tissue through non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), fibrosis, and cirrhosis to hepatocellular carcinoma (HCC). We developed an optimized computational model to evaluate the tumor development index using the single-cell RNA-seq data, which was further validated with independent datasets from various tumor types. Specifically, our analysis revealed a significant positive correlation between the proportion of neutrophils and the tumor development index, suggesting that the neutrophils actively contribute to hepatocarcinogenesis progression. This finding was further confirmed by scRNA-seq data from a c-Myc/Alb-cre mouse model. We also identified neutrophil subtypes with distinct functions, highlighting dynamic functional changes during liver tumorigenesis. These results confirmed that our tumorigenesis model can robustly predict the pre-malignant stage. And they also underscore the role of neutrophils as key mediators in liver tumor progression and provide a framework for targeting the immune microenvironment in HCC.
利益披露 Disclosure
Z. Huang, None..
W. Xiaopeng, None..
W. Dai, None..
X. Guan, None..
F. Gen-Sheng, None.