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利用多组学技术解码脑膜瘤预后:巨噬细胞多样性、免疫-拷贝数变异相互作用及新型SPP1靶向策略

Decoding meningioma prognosis with multi-omics: macrophage diversity, immune-CNV interplay, and novel SPP1-targeted strategies.

作者信息

Fan Hailang, Li Xiaojie, Zhao Yaqian, Song Lairong, Sun Lanlan, Wu Zhen, Zhang Junting, Zhang Haikun, Zhang Feifan, Huang Yingdi, Zhang Dake, Wang Liang

机构信息

Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Engineering Medicine, Beihang University, Beijing, 100191, P. R. China.

Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, P. R. China.

出版信息

J Neurooncol. 2025 Jun 16. doi: 10.1007/s11060-025-05116-8.

Abstract

BACKGROUND

Meningiomas exhibit significant tumor heterogeneity leading to diverse prognosis of patients. While DNA methylation (DNAme)-based classification has shown good performance in subtyping of meningiomas, single-cell transcriptomics offer an opportunity to further explore cell population activity. Understanding the functional states of macrophage populations is especially critical in meningiomas, given their established roles in tumor progression and therapeutic response.

METHODS

We performed integrated multi-omics clustering of DNAme and bulk RNA-seq data from 302 paired meningioma samples. This identified molecular types characterized by distinct survival, copy number variation (CNV), immune infiltration, and pathway enrichment profiles. Single-cell RNA-seq (scRNA-seq) validated CNV findings and enabled deconvolution of type-specific macrophage populations using SCISSOR, while scRank assessed candidate genes to identify therapeutic targets.

RESULTS

We identified five meningioma molecular types (CS1-CS5) with distinct recurrence risks, survival, CNV landscapes, and immune microenvironments: Proliferative (CS1), Metabolic (CS2), Mixed (CS3), Immune-Enriched (CS4), and NF2-Wild-Type (CS5). CS4 was featured by high macrophage infiltration, while CS5 showed immune-desert characteristics. Type-specific CNV profiles showed chromosome 22 deletions relating to immune infiltration, and SPP1-centered gene networks highlighted its regulatory role in macrophage plasticity. Particularly, SPP1 upregulation associated with poor prognosis in CS1 and downregulation likely contributed to better outcomes in CS4. Drug sensitivity analyses identified the potential of targeting SPP1 for macrophage reprogramming in future type-directed therapies.

CONCLUSION

Our meningioma prognostic stratification characterized macrophage functional heterogeneity and CNV-driven immune microenvironment disparities. We found SPP1 as a critical regulator for macrophage function and offering a promising candidate for future treatment to target in an aggressive molecular type.

摘要

背景

脑膜瘤表现出显著的肿瘤异质性,导致患者预后各异。虽然基于DNA甲基化(DNAme)的分类在脑膜瘤亚型分类中表现良好,但单细胞转录组学为进一步探索细胞群体活性提供了机会。鉴于巨噬细胞群体在肿瘤进展和治疗反应中的既定作用,了解其功能状态在脑膜瘤中尤为关键。

方法

我们对来自302对脑膜瘤样本的DNAme和批量RNA测序数据进行了综合多组学聚类。这确定了以不同的生存、拷贝数变异(CNV)、免疫浸润和通路富集谱为特征的分子类型。单细胞RNA测序(scRNA-seq)验证了CNV结果,并使用SCISSOR对特定类型的巨噬细胞群体进行反卷积分析,而scRank评估候选基因以确定治疗靶点。

结果

我们确定了五种脑膜瘤分子类型(CS1-CS5),它们具有不同的复发风险、生存率、CNV格局和免疫微环境:增殖型(CS1)、代谢型(CS2)、混合型(CS3)、免疫富集型(CS4)和NF2野生型(CS5)。CS4的特征是巨噬细胞浸润高,而CS5表现出免疫荒漠特征。特定类型的CNV谱显示22号染色体缺失与免疫浸润相关,以SPP1为中心的基因网络突出了其在巨噬细胞可塑性中的调节作用。特别是,SPP1上调与CS1的不良预后相关,而下调可能有助于CS4取得更好的结果。药物敏感性分析确定了在未来的类型导向治疗中靶向SPP1进行巨噬细胞重编程的潜力。

结论

我们的脑膜瘤预后分层表征了巨噬细胞功能异质性和CNV驱动的免疫微环境差异。我们发现SPP1是巨噬细胞功能的关键调节因子,为未来针对侵袭性分子类型的治疗提供了一个有前景的靶点。

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