• 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

跨癌症类型探索预后相关的 microRNA 和转录因子协同调控网络。

Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types.

机构信息

a Department of Biotechnology , Beijing Institute of Radiation Medicine , Beijing , P.R.China.

出版信息

RNA Biol. 2019 Aug;16(8):1010-1021. doi: 10.1080/15476286.2019.1607714. Epub 2019 May 3.

DOI:10.1080/15476286.2019.1607714
PMID:31046554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6602415/
Abstract

The study of cancer prognosis serves as an important part of cancer research. Large-scale cancer studies have identified numerous genes and microRNAs (miRNAs) associated with prognosis. These informative genes and miRNAs represent potential biomarkers to predict survival and to elucidate the molecular mechanism of tumour progression. MiRNAs and transcription factors (TFs) can work cooperatively as essential mediators of gene expression, and their dysregulation affects cancer prognosis. A panoramic view of cancer prognosis at the system level, considering the co-regulation roles of miRNA and TF, remains elusive. Here, we establish 12 prognosis-related miRNA-TF co-regulatory networks. The characteristics of prognostic target genes and their regulators in the network are depicted. Although the target genes and co-regulatory patterns exhibit cancer-specific properties, some miRNAs and TFs are highly conserved across cancers. We illustrate and interpret the roles of these conserved regulators by building a model associated with cancer hallmarks, functional enrichment analysis, network community detection, and exhaustive literature research. The elaborated system-level prognostic miRNA-TF co-regulation landscape, including the highlighted roles of conserved regulators, provides a novel and powerful insights into further biological and medical discoveries.

摘要

癌症预后研究是癌症研究的重要组成部分。大规模的癌症研究已经确定了许多与预后相关的基因和 microRNAs（miRNAs）。这些有信息的基因和 miRNAs 代表了潜在的生物标志物，可以预测生存并阐明肿瘤进展的分子机制。miRNAs 和转录因子（TFs）可以作为基因表达的重要调节剂协同工作，它们的失调会影响癌症的预后。考虑到 miRNA 和 TF 的共同调节作用，在系统水平上对癌症预后进行全景式观察仍然难以实现。在这里，我们建立了 12 个与预后相关的 miRNA-TF 共同调节网络。描绘了网络中预后靶基因及其调节剂的特征。尽管靶基因和共同调节模式表现出癌症特异性，但一些 miRNAs 和 TFs 在癌症之间是高度保守的。我们通过构建与癌症特征相关的模型、功能富集分析、网络社区检测和详尽的文献研究，说明了并解释了这些保守调节剂的作用。详细阐述的系统水平预后 miRNA-TF 共同调节景观，包括保守调节剂的突出作用，为进一步的生物学和医学发现提供了新的有力见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/ecde07d8dfa9/krnb-16-08-1607714-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/0970f246d3ce/krnb-16-08-1607714-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/b86b88d767d2/krnb-16-08-1607714-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/e9aca7d233dd/krnb-16-08-1607714-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/b8d43a8020d2/krnb-16-08-1607714-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/a13c485c56a0/krnb-16-08-1607714-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/ecde07d8dfa9/krnb-16-08-1607714-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/0970f246d3ce/krnb-16-08-1607714-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/b86b88d767d2/krnb-16-08-1607714-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/e9aca7d233dd/krnb-16-08-1607714-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/b8d43a8020d2/krnb-16-08-1607714-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/a13c485c56a0/krnb-16-08-1607714-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c0e/6602415/ecde07d8dfa9/krnb-16-08-1607714-g006.jpg

相似文献

1
Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types.跨癌症类型探索预后相关的 microRNA 和转录因子协同调控网络。
RNA Biol. 2019 Aug;16(8):1010-1021. doi: 10.1080/15476286.2019.1607714. Epub 2019 May 3.
2
A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions.一种用于推断特定条件下转录因子和微小RNA对蛋白质-蛋白质相互作用的协同调控的新型框架。
Gene. 2016 Feb 10;577(1):55-64. doi: 10.1016/j.gene.2015.11.023. Epub 2015 Nov 27.
3
Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer.研究结直肠癌中的微小RNA与转录因子共调控网络。
BMC Bioinformatics. 2017 Sep 2;18(1):388. doi: 10.1186/s12859-017-1796-4.
4
MicroRNA and transcription factor co-regulatory networks and subtype classification of seminoma and non-seminoma in testicular germ cell tumors.微小 RNA 和转录因子的共同调控网络以及睾丸生殖细胞肿瘤中精原细胞瘤和非精原细胞瘤的亚型分类。
Sci Rep. 2020 Jan 21;10(1):852. doi: 10.1038/s41598-020-57834-w.
5
Reconstruction and analysis of transcription factor-miRNA co-regulatory feed-forward loops in human cancers using filter-wrapper feature selection.利用过滤包装特征选择法对人类癌症中转录因子 - miRNA 共调控前馈环进行重构与分析。
PLoS One. 2013 Oct 29;8(10):e78197. doi: 10.1371/journal.pone.0078197. eCollection 2013.
6
Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.构建和分析 mRNA、miRNA、lncRNA 和 TF 调控网络揭示与前列腺癌相关的关键基因。
PLoS One. 2018 Aug 23;13(8):e0198055. doi: 10.1371/journal.pone.0198055. eCollection 2018.
7
Reconstruction of temporal activity of microRNAs from gene expression data in breast cancer cell line.从乳腺癌细胞系的基因表达数据重建微小RNA的时间活性
BMC Genomics. 2015 Dec 18;16:1077. doi: 10.1186/s12864-015-2260-3.
8
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.
9
The oncogenic and prognostic potential of eight microRNAs identified by a synergetic regulatory network approach in lung cancer.通过协同调控网络方法鉴定的8种 microRNA 在肺癌中的致癌和预后潜力
Int J Comput Biol Drug Des. 2014;7(4):384-93. doi: 10.1504/IJCBDD.2014.066572. Epub 2014 Dec 25.
10
Identification of cancer prognosis-associated lncRNAs based on the miRNA-TF co-regulatory motifs and dosage sensitivity.基于 miRNA-TF 共调控基序和剂量敏感性的癌症预后相关 lncRNAs 的鉴定。
Mol Omics. 2019 Oct 7;15(5):361-373. doi: 10.1039/c9mo00089e.

引用本文的文献

1
Pan-cancer analyses of classical protein tyrosine phosphatases and phosphatase-targeted therapy in cancer.泛癌症中经典蛋白酪氨酸磷酸酶和磷酸酶靶向治疗的分析。
Front Immunol. 2022 Oct 20;13:976996. doi: 10.3389/fimmu.2022.976996. eCollection 2022.
2
The Role of Critical N6-Methyladenosine-Related Long Non-Coding RNAs and Their Correlations with Immune Checkpoints in Renal Clear Cell Carcinoma.关键N6-甲基腺嘌呤相关长链非编码RNA在肾透明细胞癌中的作用及其与免疫检查点的相关性
Int J Gen Med. 2021 Dec 14;14:9773-9787. doi: 10.2147/IJGM.S344771. eCollection 2021.
3
IRF4-activated TEX41 promotes the malignant behaviors of melanoma cells by targeting miR-103a-3p/C1QB axis.

本文引用的文献

1
Transferrin receptor-involved HIF-1 signaling pathway in cervical cancer.转铁蛋白受体相关的低氧诱导因子-1 信号通路在宫颈癌中的作用
Cancer Gene Ther. 2019 Nov;26(11-12):356-365. doi: 10.1038/s41417-019-0078-x. Epub 2019 Jan 17.
2
CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks.CMTCN：一种用于研究癌症特异性微小RNA和转录因子共调控网络的网络工具。
PeerJ. 2018 Nov 12;6:e5951. doi: 10.7717/peerj.5951. eCollection 2018.
3
miRBase: from microRNA sequences to function.miRBase：从 microRNA 序列到功能。
IRF4 激活的 TEX41 通过靶向 miR-103a-3p/C1QB 轴促进黑色素瘤细胞的恶性行为。
BMC Cancer. 2021 Dec 16;21(1):1339. doi: 10.1186/s12885-021-09039-1.
4
HAHmiR.DB: a server platform for high-altitude human miRNA-gene coregulatory networks and associated regulatory circuits.HAHmiR.DB：一个高空人类 miRNA-基因共调控网络和相关调控回路的服务器平台。
Database (Oxford). 2020 Dec 1;2020. doi: 10.1093/database/baaa101.
Nucleic Acids Res. 2019 Jan 8;47(D1):D155-D162. doi: 10.1093/nar/gky1141.
4
Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis.通过泛癌分析鉴定癌症患者中的关键差异表达 MicroRNAs。
Comput Biol Med. 2018 Dec 1;103:183-197. doi: 10.1016/j.compbiomed.2018.10.021. Epub 2018 Oct 22.
5
TransmiR v2.0: an updated transcription factor-microRNA regulation database.TransmiR v2.0：一个更新的转录因子- microRNA 调控数据库。
Nucleic Acids Res. 2019 Jan 8;47(D1):D253-D258. doi: 10.1093/nar/gky1023.
6
Deciphering the transcription factor-microRNA-target gene regulatory network associated with graphene oxide cytotoxicity.解析与氧化石墨烯细胞毒性相关的转录因子-miRNA-靶基因调控网络。
Nanotoxicology. 2018 Nov;12(9):1014-1026. doi: 10.1080/17435390.2018.1513090. Epub 2018 Oct 16.
7
A Pan-Cancer Analysis Reveals High-Frequency Genetic Alterations in Mediators of Signaling by the TGF-β Superfamily.泛癌症分析揭示 TGF-β 超家族信号转导介质中的高频遗传改变。
Cell Syst. 2018 Oct 24;7(4):422-437.e7. doi: 10.1016/j.cels.2018.08.010. Epub 2018 Sep 26.
8
Hallmarks of Cancer-Related Newly Prognostic Factors of Oral Squamous Cell Carcinoma.口腔鳞状细胞癌相关新预后因素的癌症标志。
Int J Mol Sci. 2018 Aug 16;19(8):2413. doi: 10.3390/ijms19082413.
9
Prioritizing network communities.优先考虑网络社区。
Nat Commun. 2018 Jun 29;9(1):2544. doi: 10.1038/s41467-018-04948-5.
10
Function, dynamics and evolution of network motif modules in integrated gene regulatory networks of worm and plant.网络基元模块在蠕虫和植物综合基因调控网络中的功能、动态和进化。
Nucleic Acids Res. 2018 Jul 27;46(13):6480-6503. doi: 10.1093/nar/gky468.