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利用蛋白质-蛋白质相互作用枢纽治疗癌症疾病的策略。

A Strategy Utilizing Protein-Protein Interaction Hubs for the Treatment of Cancer Diseases.

机构信息

Platform of Biological System Modeling, Center of Technological Development in Health (CDTS), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, RJ, Brazil.

Engenharia de Sistemas e Computação, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, RJ, Brazil.

出版信息

Int J Mol Sci. 2023 Nov 8;24(22):16098. doi: 10.3390/ijms242216098.

Abstract

We describe a strategy for the development of a rational approach of neoplastic disease therapy based on the demonstration that scale-free networks are susceptible to specific attacks directed against its connective hubs. This strategy involves the (i) selection of up-regulated hubs of connectivity in the tumors interactome, (ii) drug repurposing of these hubs, (iii) RNA silencing of non-druggable hubs, (iv) in vitro hub validation, (v) tumor-on-a-chip, (vi) in vivo validation, and (vii) clinical trial. Hubs are protein targets that are assessed as targets for rational therapy of cancer in the context of personalized oncology. We confirmed the existence of a negative correlation between malignant cell aggressivity and the target number needed for specific drugs or RNA interference (RNAi) to maximize the benefit to the patient's overall survival. Interestingly, we found that some additional proteins not generally targeted by drug treatments might justify the addition of inhibitors designed against them in order to improve therapeutic outcomes. However, many proteins are not druggable, or the available pharmacopeia for these targets is limited, which justifies a therapy based on encapsulated RNAi.

摘要

我们描述了一种基于以下发现的肿瘤疾病治疗合理化方法的开发策略

无标度网络易受针对其连接枢纽的特定攻击。该策略包括:(i)选择肿瘤相互作用组中上调的连接枢纽;(ii)对这些枢纽进行药物再利用;(iii)对不可用药枢纽进行 RNA 沉默;(iv)体外枢纽验证;(v)肿瘤芯片;(vi)体内验证;(vii)临床试验。枢纽是蛋白质靶标,它们被评估为个体化肿瘤学中癌症合理化治疗的靶标。我们证实,恶性细胞侵袭性与特定药物或 RNA 干扰(RNAi)所需的靶标数量之间存在负相关,这可以使患者的总体生存获益最大化。有趣的是,我们发现,一些通常不受药物治疗靶向的其他蛋白质可能需要添加针对它们的抑制剂,以改善治疗效果。然而,许多蛋白质不可用药,或者针对这些靶点的可用药物库有限,这证明了基于封装 RNAi 的治疗是合理的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb35/10671768/98b5e3c5c68c/ijms-24-16098-g001.jpg

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