Multiomics Analysis Reveals Neuroblastoma Molecular Signature Predicting Risk Stratification and Tumor Microenvironment Differences

生物信息学 生物 基因签名 转录组 癌症研究 肿瘤微环境 细胞周期 神经母细胞瘤 基因表达谱 基因 计算生物学 生物信息学 遗传学 基因表达 肿瘤细胞 细胞培养
作者
Xing Zhou,Zhaokai Zhou,Xiaohan Qin,Jian Cheng,Yongcheng Fu,Yuanyuan Wang,Jingyue Wang,Qin Pan,Da Zhang
出处
期刊:Journal of Proteome Research [American Chemical Society]
标识
DOI:10.1021/acs.jproteome.4c00882
摘要

Neuroblastoma (NB) remains associated with high mortality and low initial response rate, especially for high-risk patients, thus warranting exploration of molecular markers for precision risk classifiers. Through integrating multiomics profiling, we identified a range of hub genes involved in cell cycle and associated with dismal prognosis and malignant cells. Single-cell transcriptome sequencing revealed that a subset of malignant cells, subcluster 1, characterized by high proliferation and dedifferentiation, was strongly correlated with the hub gene signature and orchestrated an immunosuppressive tumor microenvironment (TME). Furthermore, we constructed a robust malignant subcluster 1 related signature (MSRS), which was an independent prognostic factor and superior to other clinical characteristics and published signatures. Besides, TME differences conferred remarkably distinct therapeutic responses between high and low MSRS groups. Notably, polo-like kinase-1 (PLK1) was one of the most crucial contributors to MSRS and remarkably correlated with malignant subcluster 1, and PLK1 inhibition was effective for NB treatment as demonstrated by in silico analysis and in vitro experiments. Overall, our study constructs a novel molecular model to further guide the clinical classification and individualized treatment of NB.
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