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基因调控网络建模确定了导致肿瘤转化的由-介导的基因组不稳定的三个回路。 (注:原文中“-mediated”处“-”指代不明,可能影响准确理解)

The Gene Regulatory Network Modeling Identifies Three Circuits for -mediated Genomic Instability Leading to Neoplastic Transformation.

作者信息

Suescum-Holguín Jeison F, Clavijo-Buriticá Diana Carolina, Carrillo-Borda Edward Fabian, Quimbaya Mauricio Alberto

机构信息

Facultad de Ingeniería y Ciencias, Instituto de Investigaciones en Ciencias Ómicas iÓMICAS, Pontificia Universidad Javeriana Cali, Santiago de Cali 760031, Colombia.

Grupo de Investigación en Microbiología Molecular y Enfermedades Infecciosas (GIMMEIN), Faculty of Health Sciences, Universidad Libre Seccional Cali, Santiago de Cali 760043, Colombia.

出版信息

Life (Basel). 2025 May 17;15(5):799. doi: 10.3390/life15050799.

DOI:10.3390/life15050799
PMID:40430225
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12113133/
Abstract

Genomic instability has been increasingly recognized over the past decade as a fundamental driver of cancer initiation and progression, largely owing to its association with specific genes and cellular mechanisms that offer therapeutic potential. However, a comprehensive molecular framework that captures the interconnected processes underlying this phenomenon remains elusive. In this study, we focused on polo-like kinase 1 (PLK1), a key cell cycle regulator frequently overexpressed in diverse human tumors, to reconstruct a regulatory network that consolidates pre-existing biological knowledge exclusively related to pathways involved in genome stability maintenance and cancer. The resulting model integrates nine biological processes, 1030 reactions, and 716 molecular species to form a literature-supported network in which PLK1 serves as a central regulatory node. However, rather than depicting an isolated PLK1-centric system, this network reflects a broader and more complex architecture of interrelated genomic instability mechanisms. As expected, the simulations reproduced known behaviors associated with PLK1 dysregulation, reinforcing the well-established role of the kinase in genome destabilization. Importantly, this model also enables the exploration of additional, less-characterized dynamics, including the potential involvement of genes such as , , and other regulators of chromosomal segregation and DNA repair, which appear to contribute to instability events downstream of PLK1. While these findings are grounded in mechanistic simulations and require further experimental validation, gene expression and survival analyses across tumor types support their clinical relevance by linking them to poor prognosis in specific cancers. Overall, the model provides a systemic and adaptable foundation for studying PLK1-related genomic instability, enabling both the reinforcement of known mechanisms and discovery of candidate genes and circuits that may drive tumorigenesis through compromised genome integrity across distinct cancer contexts.

摘要

在过去十年中,基因组不稳定已日益被视为癌症发生和发展的一个基本驱动因素,这主要归因于它与具有治疗潜力的特定基因和细胞机制相关联。然而,一个能够捕捉这一现象背后相互关联过程的全面分子框架仍然难以捉摸。在本研究中,我们聚焦于波罗样激酶1(PLK1),一种在多种人类肿瘤中经常过度表达的关键细胞周期调节因子,以重建一个调控网络,该网络整合了仅与参与基因组稳定性维持和癌症的途径相关的现有生物学知识。由此产生的模型整合了九个生物学过程、1030个反应和716个分子物种,形成了一个有文献支持的网络,其中PLK1作为核心调控节点。然而,这个网络并非描绘一个孤立的以PLK1为中心的系统,而是反映了相互关联的基因组不稳定机制的更广泛、更复杂的架构。正如预期的那样,模拟重现了与PLK1失调相关的已知行为,强化了该激酶在基因组不稳定中的既定作用。重要的是,这个模型还能够探索其他特征较少的动态,包括诸如、和其他染色体分离及DNA修复调节因子等基因的潜在参与,这些基因似乎在PLK1下游的不稳定事件中起作用。虽然这些发现基于机制模拟且需要进一步的实验验证,但跨肿瘤类型的基因表达和生存分析通过将它们与特定癌症的不良预后联系起来,支持了它们的临床相关性。总体而言,该模型为研究与PLK1相关的基因组不稳定提供了一个系统且可适应的基础,可以强化已知机制,并发现可能通过不同癌症背景下受损的基因组完整性驱动肿瘤发生的候选基因和回路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/589200ebd94a/life-15-00799-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/dfe65fcabf31/life-15-00799-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/c684be475415/life-15-00799-g0A2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/8ccb971d4d1e/life-15-00799-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/5c7753bfd703/life-15-00799-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/589200ebd94a/life-15-00799-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/dfe65fcabf31/life-15-00799-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/c684be475415/life-15-00799-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/0fa9653dbd97/life-15-00799-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/8bbd66fe004d/life-15-00799-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/8ccb971d4d1e/life-15-00799-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/2c65f809cd9d/life-15-00799-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f83/12113133/589200ebd94a/life-15-00799-g006.jpg

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本文引用的文献

1
CancerSCEM: a database of single-cell expression map across various human cancers.CancerSCEM:一个跨多种人类癌症的单细胞表达图谱数据库。
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Gene copy-number changes and chromosomal instability induced by aneuploidy confer resistance to chemotherapy.非整倍体引起的基因拷贝数变化和染色体不稳定性赋予了化疗耐药性。
Dev Cell. 2021 Sep 13;56(17):2440-2454.e6. doi: 10.1016/j.devcel.2021.07.006. Epub 2021 Aug 4.
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Mitotic syndicates Aurora Kinase B (AURKB) and mitotic arrest deficient 2 like 2 (MAD2L2) in cohorts of DNA damage response (DDR) and tumorigenesis.
在 DNA 损伤反应 (DDR) 和肿瘤发生的队列中,有丝分裂综合征 Aurora 激酶 B (AURKB) 和有丝分裂缺陷 2 样 2 (MAD2L2)。
Mutat Res Rev Mutat Res. 2021 Jan-Jun;787:108376. doi: 10.1016/j.mrrev.2021.108376. Epub 2021 Apr 24.
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PLK1 Induces Chromosomal Instability and Overrides Cell-Cycle Checkpoints to Drive Tumorigenesis.PLK1诱导染色体不稳定并绕过细胞周期检查点以驱动肿瘤发生。
Cancer Res. 2021 Mar 1;81(5):1293-1307. doi: 10.1158/0008-5472.CAN-20-1377. Epub 2020 Dec 29.
5
The CINs of Polo-Like Kinase 1 in Cancer.癌症中类Polo样激酶1的细胞周期蛋白依赖性激酶抑制因子
Cancers (Basel). 2020 Oct 13;12(10):2953. doi: 10.3390/cancers12102953.
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Network mechanisms and dysfunction within an integrated computational model of progression through mitosis in the human cell cycle.人类细胞周期有丝分裂进程的综合计算模型中的网络机制和功能障碍。
PLoS Comput Biol. 2020 Apr 6;16(4):e1007733. doi: 10.1371/journal.pcbi.1007733. eCollection 2020 Apr.
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CHG: A Systematically Integrated Database of Cancer Hallmark Genes.CHG:一个癌症标志基因的系统整合数据库。
Front Genet. 2020 Feb 5;11:29. doi: 10.3389/fgene.2020.00029. eCollection 2020.
8
Functional characterization of MCAK/Kif2C cancer mutations using high-throughput microscopic analysis.利用高通量显微镜分析对 MCAK/Kif2C 癌症突变进行功能表征。
Mol Biol Cell. 2020 Mar 19;31(7):580-588. doi: 10.1091/mbc.E19-09-0503. Epub 2019 Nov 20.
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Mathematical modelling the pathway of genomic instability in lung cancer.数学建模肺癌中基因组不稳定性的途径。
Sci Rep. 2019 Oct 1;9(1):14136. doi: 10.1038/s41598-019-50500-w.
10
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Proc Natl Acad Sci U S A. 2019 Jun 11;116(24):11725-11730. doi: 10.1073/pnas.1902970116. Epub 2019 May 22.