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基于网络和药物再利用方法的套细胞淋巴瘤病理生物学、诊断和治疗的深入了解。

Insight into Mantle Cell Lymphoma Pathobiology, Diagnosis, and Treatment Using Network-Based and Drug-Repurposing Approaches.

机构信息

Functional Proteomics and Systems Biology (FunPATh), Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center, GR-54124 Thessaloniki, Greece.

Institute of Molecular Biology and Biotechnology Foundation for Research and Technology-Hellas, GR-70013 Heraklion, Greece.

出版信息

Int J Mol Sci. 2024 Jul 2;25(13):7298. doi: 10.3390/ijms25137298.

Abstract

Mantle cell lymphoma (MCL) is a rare, incurable, and aggressive B-cell non-Hodgkin lymphoma (NHL). Early MCL diagnosis and treatment is critical and puzzling due to inter/intra-tumoral heterogeneity and limited understanding of the underlying molecular mechanisms. We developed and applied a multifaceted analysis of selected publicly available transcriptomic data of well-defined MCL stages, integrating network-based methods for pathway enrichment analysis, co-expression module alignment, drug repurposing, and prediction of effective drug combinations. We demonstrate the "butterfly effect" emerging from a small set of initially differentially expressed genes, rapidly expanding into numerous deregulated cellular processes, signaling pathways, and core machineries as MCL becomes aggressive. We explore pathogenicity-related signaling circuits by detecting common co-expression modules in MCL stages, pointing out, among others, the role of VEGFA and SPARC proteins in MCL progression and recommend further study of precise drug combinations. Our findings highlight the benefit that can be leveraged by such an approach for better understanding pathobiology and identifying high-priority novel diagnostic and prognostic biomarkers, drug targets, and efficacious combination therapies against MCL that should be further validated for their clinical impact.

摘要

套细胞淋巴瘤(Mantle cell lymphoma,MCL)是一种罕见的、不可治愈的侵袭性 B 细胞非霍奇金淋巴瘤(Non-Hodgkin lymphoma,NHL)。由于肿瘤内/间异质性以及对潜在分子机制的了解有限,早期 MCL 的诊断和治疗极具挑战性且令人费解。我们开发并应用了一种针对明确的 MCL 分期的精选公开转录组数据的多方面分析方法,整合了基于网络的方法进行途径富集分析、共表达模块对齐、药物再利用以及有效药物组合的预测。我们证明了“蝴蝶效应”的出现,即从一小部分最初差异表达的基因开始,迅速扩展到许多失调的细胞过程、信号通路和核心机制,因为 MCL 变得具有侵袭性。我们通过检测 MCL 分期中的常见共表达模块来探索与发病机制相关的信号回路,指出 VEGFA 和 SPARC 蛋白在 MCL 进展中的作用,并建议进一步研究精确的药物组合。我们的研究结果强调了这种方法可以为更好地理解病理生物学和识别高优先级的新型诊断和预后生物标志物、药物靶点以及针对 MCL 的有效联合治疗带来的益处,这些都应进一步验证其对临床的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd32/11242097/171c5f3e36c7/ijms-25-07298-g004.jpg

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