• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于基序的阿霉素治疗乳腺癌作用中调控模式的网络分析:一项系统生物学研究

A Motif-Based Network Analysis of Regulatory Patterns in Doxorubicin Effects on Treating Breast Cancer, a Systems Biology Study.

作者信息

Dehghan Zeinab, Mirmotalebisohi Seyed Amir, Sameni Marzieh, Bazgiri Maryam, Zali Hakimeh

机构信息

Student Research Committee, Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Avicenna J Med Biotechnol. 2022 Apr-Jun;14(2):137-153. doi: 10.18502/ajmb.v14i2.8889.

DOI:10.18502/ajmb.v14i2.8889
PMID:35633986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9077660/
Abstract

BACKGROUND

Breast cancer is the most common malignancy worldwide. Doxorubicin is an anthracycline used to treat breast cancer as the first treatment choice. Nevertheless, the molecular mechanisms underlying the response to Doxorubicin and its side effects are not comprehensively understood so far. We used systems biology and bioinformatics methods to identify essential genes and molecular mechanisms behind the body response to Doxorubicin and its side effects in breast cancer patients.

METHODS

Omics data were extracted and analyzed to construct the protein-protein interaction and gene regulatory networks. Network analysis was performed to identify hubs, bottlenecks, clusters, and regulatory motifs to evaluate crucial genes and molecular mechanisms behind the body response to Doxorubicin and its side effects.

RESULTS

Analyzing the constructed PPI and gene-TF-miRNA regulatory network showed that MCM3, MCM10, and TP53 are key hub-bottlenecks and seed proteins. Enrichment analysis also revealed cell cycle, TP53 signaling, Forkhead box O (FoxO) signaling, and viral carcinogenesis as essential pathways in response to this drug. Besides, SNARE interactions in vesicular transport and neurotrophin signaling were identified as pathways related to the side effects of Doxorubicin. The apoptosis induction, DNA repair, invasion inhibition, metastasis, and DNA replication are suggested as critical molecular mechanisms underlying Doxorubicin anti-cancer effect. SNARE interactions in vesicular transport and neurotrophin signaling and FoxO signaling pathways in glucose metabolism are probably the mechanisms responsible for side effects of Doxorubicin.

CONCLUSION

Following our model validation using the existing experimental data, we recommend our other newly predicted biomarkers and pathways as possible molecular mechanisms and side effects underlying the response to Doxorubicin in breast cancer requiring further investigations.

摘要

背景

乳腺癌是全球最常见的恶性肿瘤。多柔比星是一种蒽环类药物,作为一线治疗药物用于治疗乳腺癌。然而,目前对多柔比星反应及其副作用背后的分子机制尚未完全了解。我们使用系统生物学和生物信息学方法来确定乳腺癌患者对多柔比星反应及其副作用背后的关键基因和分子机制。

方法

提取并分析组学数据以构建蛋白质-蛋白质相互作用和基因调控网络。进行网络分析以识别枢纽、瓶颈、簇和调控基序,以评估机体对多柔比星反应及其副作用背后的关键基因和分子机制。

结果

对构建的蛋白质-蛋白质相互作用(PPI)和基因-转录因子-微小RNA(TF-miRNA)调控网络的分析表明,微小染色体维持蛋白3(MCM3)、微小染色体维持蛋白10(MCM10)和肿瘤蛋白p53(TP53)是关键的枢纽-瓶颈和种子蛋白。富集分析还揭示了细胞周期、TP53信号通路、叉头框O(FoxO)信号通路和病毒致癌作用是对该药物反应的重要途径。此外,囊泡运输中的可溶性N-乙基马来酰亚胺敏感因子附着蛋白受体(SNARE)相互作用和神经营养因子信号通路被确定为与多柔比星副作用相关的途径。细胞凋亡诱导、DNA修复、侵袭抑制、转移和DNA复制被认为是多柔比星抗癌作用的关键分子机制。囊泡运输中的SNARE相互作用、葡萄糖代谢中的神经营养因子信号通路和FoxO信号通路可能是多柔比星副作用的机制。

结论

在使用现有实验数据对我们的模型进行验证之后,我们推荐我们新预测的其他生物标志物和途径,作为乳腺癌中对多柔比星反应的潜在分子机制和副作用,需要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/0b01ec4ca05e/AJMB-14-137-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/9dc99480c8ec/AJMB-14-137-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/76c981f17f74/AJMB-14-137-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/f652283e16fc/AJMB-14-137-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/774b16b5f9e1/AJMB-14-137-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/0b01ec4ca05e/AJMB-14-137-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/9dc99480c8ec/AJMB-14-137-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/76c981f17f74/AJMB-14-137-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/f652283e16fc/AJMB-14-137-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/774b16b5f9e1/AJMB-14-137-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d51/9077660/0b01ec4ca05e/AJMB-14-137-g005.jpg

相似文献

1
A Motif-Based Network Analysis of Regulatory Patterns in Doxorubicin Effects on Treating Breast Cancer, a Systems Biology Study.基于基序的阿霉素治疗乳腺癌作用中调控模式的网络分析:一项系统生物学研究
Avicenna J Med Biotechnol. 2022 Apr-Jun;14(2):137-153. doi: 10.18502/ajmb.v14i2.8889.
2
Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.通过生物信息学分析鉴定与 SCLC 相关的候选生物标志物和途径。
Mol Med Rep. 2018 Aug;18(2):1538-1550. doi: 10.3892/mmr.2018.9095. Epub 2018 May 29.
3
Identification of important invasion and proliferation related genes in adrenocortical carcinoma.鉴定肾上腺皮质癌中与侵袭和增殖相关的重要基因。
Med Oncol. 2019 Jul 18;36(9):73. doi: 10.1007/s12032-019-1296-7.
4
Identification of Critical Molecular Factors and Side Effects Underlying the Response to Thalicthuberine in Prostate Cancer: A Systems Biology Approach.前列腺癌中对thalicthuberine反应的关键分子因素及副作用的鉴定:一种系统生物学方法
Avicenna J Med Biotechnol. 2023 Jan-Mar;15(1):53-64. doi: 10.18502/ajmb.v15i1.11425.
5
In silico identification of potential key regulatory factors in smoking-induced lung cancer.吸烟诱导肺癌中潜在关键调控因子的计算机模拟鉴定
BMC Med Genomics. 2017 Jun 7;10(1):40. doi: 10.1186/s12920-017-0284-z.
6
Key Genes Associated with Pyroptosis in Gout and Construction of a miRNA-mRNA Regulatory Network.与痛风中细胞焦亡相关的关键基因及 miRNA-mRNA 调控网络的构建。
Cells. 2022 Oct 17;11(20):3269. doi: 10.3390/cells11203269.
7
Systems biology approach identifies key regulators and the interplay between miRNAs and transcription factors for pathological cardiac hypertrophy.系统生物学方法鉴定病理性心肌肥厚的关键调控因子及 miRNA 和转录因子之间的相互作用。
Gene. 2019 May 25;698:157-169. doi: 10.1016/j.gene.2019.02.056. Epub 2019 Mar 5.
8
Identification of 10 Hub Genes and an miRNA-mRNA Regulatory Network in Acute Kawasaki Disease.急性川崎病中10个关键基因及miRNA-mRNA调控网络的鉴定
Front Genet. 2021 Mar 25;12:585058. doi: 10.3389/fgene.2021.585058. eCollection 2021.
9
Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.生物信息学分析鉴定心力衰竭的候选生物标志物和治疗药物。
BMC Cardiovasc Disord. 2021 Jul 4;21(1):329. doi: 10.1186/s12872-021-02146-8.
10
Integrative Bioinformatics Analysis Reveals Potential Target Genes and TNFα Signaling Inhibition by Brazilin in Metastatic Breast Cancer Cells.整合生物信息学分析揭示了巴西苏木素在转移性乳腺癌细胞中潜在的作用靶点及对 TNFα 信号通路的抑制作用。
Asian Pac J Cancer Prev. 2020 Sep 1;21(9):2751-2762. doi: 10.31557/APJCP.2020.21.9.2751.

引用本文的文献

1
Deciphering the similarities and disparities of molecular mechanisms behind respiratory epithelium response to HCoV-229E and SARS-CoV-2 and drug repurposing, a systems biology approach.解析呼吸道上皮细胞对 HCoV-229E 和 SARS-CoV-2 反应的分子机制的相似性和差异性,以及药物再利用的系统生物学方法。
Daru. 2024 Jun;32(1):215-235. doi: 10.1007/s40199-024-00507-0. Epub 2024 Apr 23.
2
Introducing Matrix Metalloproteinases as Crucial Targets for Intra-articular Laser Therapy in Patients with Synovial Fluid of Knee Osteoarthritis.介绍基质金属蛋白酶作为膝关节骨关节炎滑液患者关节内激光治疗的关键靶点。
Med J Islam Repub Iran. 2023 Dec 4;37:130. doi: 10.47176/mjiri.37.130. eCollection 2023.
3

本文引用的文献

1
Repurposing new drug candidates and identifying crucial molecules underlying PCOS Pathogenesis Based On Bioinformatics Analysis.基于生物信息学分析的多囊卵巢综合征发病机制新药物候选物再利用和关键分子鉴定。
Daru. 2021 Dec;29(2):353-366. doi: 10.1007/s40199-021-00413-9. Epub 2021 Sep 4.
2
Tumor suppressor p53: Biology, signaling pathways, and therapeutic targeting.抑癌基因 p53:生物学、信号通路和治疗靶点。
Biochim Biophys Acta Rev Cancer. 2021 Aug;1876(1):188556. doi: 10.1016/j.bbcan.2021.188556. Epub 2021 Apr 29.
3
Role of SNAREs in Neurodegenerative Diseases.
Identification of Renal Transplantation Rejection Biomarkers in Blood Using the Systems Biology Approach.
运用系统生物学方法鉴定血液中的肾移植排斥生物标志物
Iran Biomed J. 2023 Aug 23;27(6):375-87. doi: 10.52547/ibj.3871.
4
COVID-19: A novel holistic systems biology approach to predict its molecular mechanisms (in vitro) and repurpose drugs.COVID-19:一种预测其分子机制(体外)和重新利用药物的新型整体系统生物学方法。
Daru. 2023 Dec;31(2):155-171. doi: 10.1007/s40199-023-00471-1. Epub 2023 Aug 19.
5
Deciphering molecular mechanisms of SARS-CoV-2 pathogenesis and drug repurposing through GRN motifs: a comprehensive systems biology study.通过基因调控网络基序解析严重急性呼吸综合征冠状病毒2发病机制和药物再利用的分子机制:一项全面的系统生物学研究
3 Biotech. 2023 Apr;13(4):117. doi: 10.1007/s13205-023-03518-x. Epub 2023 Mar 13.
SNAREs 在神经退行性疾病中的作用。
Cells. 2021 Apr 23;10(5):991. doi: 10.3390/cells10050991.
4
Network Analysis Identifies Gene Regulatory Network Indicating the Role of RUNX1 in Human Intervertebral Disc Degeneration.网络分析确定了基因调控网络,表明 RUNX1 在人类椎间盘退变中的作用。
Genes (Basel). 2020 Jul 9;11(7):771. doi: 10.3390/genes11070771.
5
Elevated expression of minichromosome maintenance 3 indicates poor outcomes and promotes G1/S cell cycle progression, proliferation, migration and invasion in colorectal cancer.微染色体维持蛋白 3 的高表达预示着结直肠癌不良预后,并促进 G1/S 细胞周期进程、增殖、迁移和侵袭。
Biosci Rep. 2020 Jul 31;40(7). doi: 10.1042/BSR20201503.
6
A Review of 1-Regulated Metabolic Diseases and Related Drug Discoveries.1-调节代谢疾病的综述及相关药物发现。
Cells. 2020 Jan 10;9(1):184. doi: 10.3390/cells9010184.
7
Clinical Features of Breast Cancer Patients with Human T-Cell Lymphotropic Virus Type-1 Infection.1型人类嗜T细胞病毒感染的乳腺癌患者的临床特征
Asian Pac J Cancer Prev. 2019 Jun 1;20(6):1909-1912. doi: 10.31557/APJCP.2019.20.6.1909.
8
Transcriptomic profiling reveals p53 as a key regulator of doxorubicin-induced cardiotoxicity.转录组分析揭示p53是阿霉素诱导的心脏毒性的关键调节因子。
Cell Death Discov. 2019 Jun 12;5:102. doi: 10.1038/s41420-019-0182-6. eCollection 2019.
9
Identification of critical connectors in the directed reaction-centric graphs of microbial metabolic networks.鉴定微生物代谢网络有向反应中心图中的关键连接器。
BMC Bioinformatics. 2019 Jun 13;20(1):328. doi: 10.1186/s12859-019-2897-z.
10
Construction and analysis of a comprehensive protein interaction network of HCV with its host Homo sapiens.构建并分析丙型肝炎病毒(HCV)与其宿主人类(Homo sapiens)的全蛋白质相互作用网络。
BMC Infect Dis. 2019 Apr 30;19(1):367. doi: 10.1186/s12879-019-4000-9.