• 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

竞争性内源性RNA网络分析确定了不同乳腺癌亚型中的关键基因。

Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.

作者信息

Chen Juan, Xu Juan, Li Yongsheng, Zhang Jinwen, Chen Hong, Lu Jianping, Wang Zishan, Zhao Xueying, Xu Kang, Li Yixue, Li Xia, Zhang Yan

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

出版信息

Oncotarget. 2017 Feb 7;8(6):10171-10184. doi: 10.18632/oncotarget.14361.

DOI:10.18632/oncotarget.14361
PMID:28052038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5354650/
Abstract

Although competing endogenous RNAs (ceRNAs) have been implicated in many solid tumors, their roles in breast cancer subtypes are not well understood. We therefore generated a ceRNA network for each subtype based on the significance of both, positive co-expression and the shared miRNAs, in the corresponding subtype miRNA dys-regulatory network, which was constructed based on negative regulations between differentially expressed miRNAs and targets. All four subtype ceRNA networks exhibited scale-free architecture and showed that the common ceRNAs were at the core of the networks. Furthermore, the common ceRNA hubs had greater connectivity than the subtype-specific hubs. Functional analysis of the common subtype ceRNA hubs highlighted factors involved in proliferation, MAPK signaling pathways and tube morphogenesis. Subtype-specific ceRNA hubs highlighted unique subtype-specific pathways, like the estrogen response and inflammatory pathways in the luminal subtypes or the factors involved in the coagulation process that participates in the basal-like subtype. Ultimately, we identified 29 critical subtype-specific ceRNA hubs that characterized the different breast cancer subtypes. Our study thus provides new insight into the common and specific subtype ceRNA interactions that define the different categories of breast cancer and enhances our understanding of the pathology underlying the different breast cancer subtypes, which can have prognostic and therapeutic implications in the future.

摘要

尽管竞争性内源性RNA(ceRNA)已被证明与多种实体瘤有关,但其在乳腺癌亚型中的作用仍未完全明确。因此,我们基于相应亚型miRNA失调网络中正向共表达和共享miRNA的重要性,为每个亚型构建了一个ceRNA网络,该miRNA失调网络是基于差异表达的miRNA与其靶标之间的负调控构建的。所有四个亚型的ceRNA网络均呈现无标度结构,且表明常见的ceRNA位于网络核心。此外,常见的ceRNA枢纽比亚型特异性枢纽具有更高的连接性。对常见亚型ceRNA枢纽的功能分析突出了参与增殖、MAPK信号通路和管形态发生的因子。亚型特异性ceRNA枢纽突出了独特的亚型特异性通路,如腔面亚型中的雌激素反应和炎症通路,或参与基底样亚型凝血过程的因子。最终,我们鉴定出29个关键的亚型特异性ceRNA枢纽,它们可区分不同的乳腺癌亚型。我们的研究因此为定义不同类别乳腺癌的常见和特定亚型ceRNA相互作用提供了新见解,并加深了我们对不同乳腺癌亚型病理基础的理解,这可能在未来具有预后和治疗意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/abc27c961efb/oncotarget-08-10171-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/5f309020f1b2/oncotarget-08-10171-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/e4a16db457ec/oncotarget-08-10171-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/8a9e0adedfed/oncotarget-08-10171-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/f69a19dd549f/oncotarget-08-10171-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/abc27c961efb/oncotarget-08-10171-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/5f309020f1b2/oncotarget-08-10171-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/e4a16db457ec/oncotarget-08-10171-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/8a9e0adedfed/oncotarget-08-10171-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/f69a19dd549f/oncotarget-08-10171-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5990/5354650/abc27c961efb/oncotarget-08-10171-g005.jpg

相似文献

1
Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.竞争性内源性RNA网络分析确定了不同乳腺癌亚型中的关键基因。
Oncotarget. 2017 Feb 7;8(6):10171-10184. doi: 10.18632/oncotarget.14361.
2
Systematical analysis of lncRNA-mRNA competing endogenous RNA network in breast cancer subtypes.系统分析乳腺癌亚型中的 lncRNA-mRNA 竞争内源性 RNA 网络。
Breast Cancer Res Treat. 2018 Jun;169(2):267-275. doi: 10.1007/s10549-018-4678-1. Epub 2018 Feb 1.
3
Identification of laryngeal cancer prognostic biomarkers using an inflammatory gene-related, competitive endogenous RNA network.利用炎症基因相关的竞争性内源性RNA网络鉴定喉癌预后生物标志物
Oncotarget. 2017 Feb 7;8(6):9525-9534. doi: 10.18632/oncotarget.13627.
4
Comprehensive characterization of lncRNA-mRNA related ceRNA network across 12 major cancers.12种主要癌症中lncRNA - mRNA相关ceRNA网络的综合表征
Oncotarget. 2016 Sep 27;7(39):64148-64167. doi: 10.18632/oncotarget.11637.
5
Systematic analysis of lncRNA-miRNA-mRNA competing endogenous RNA network identifies four-lncRNA signature as a prognostic biomarker for breast cancer.系统分析 lncRNA-miRNA-mRNA 竞争内源性 RNA 网络鉴定出四个 lncRNA 特征作为乳腺癌的预后生物标志物。
J Transl Med. 2018 Sep 27;16(1):264. doi: 10.1186/s12967-018-1640-2.
6
Construction of an oesophageal cancer-specific ceRNA network based on miRNA, lncRNA, and mRNA expression data.基于 miRNA、lncRNA 和 mRNA 表达数据构建食管癌特异性 ceRNA 网络。
World J Gastroenterol. 2018 Jan 7;24(1):23-34. doi: 10.3748/wjg.v24.i1.23.
7
Competing endogenous RNA networks and gastric cancer.竞争性内源性RNA网络与胃癌
World J Gastroenterol. 2015 Nov 7;21(41):11680-7. doi: 10.3748/wjg.v21.i41.11680.
8
Discovering lncRNA mediated sponge interactions in breast cancer molecular subtypes.揭示乳腺癌分子亚型中 lncRNA 介导的海绵相互作用。
BMC Genomics. 2018 Sep 4;19(1):650. doi: 10.1186/s12864-018-5006-1.
9
Comprehensive Analysis of Differentially Expressed Profiles of lncRNAs/mRNAs and miRNAs with Associated ceRNA Networks in Triple-Negative Breast Cancer.三阴性乳腺癌中lncRNAs/mRNAs和miRNAs差异表达谱及相关ceRNA网络的综合分析
Cell Physiol Biochem. 2018;50(2):473-488. doi: 10.1159/000494162. Epub 2018 Oct 11.
10
Parameter optimization for constructing competing endogenous RNA regulatory network in glioblastoma multiforme and other cancers.多形性胶质母细胞瘤及其他癌症中竞争性内源性RNA调控网络构建的参数优化
BMC Genomics. 2015;16 Suppl 4(Suppl 4):S1. doi: 10.1186/1471-2164-16-S4-S1. Epub 2015 Apr 21.

引用本文的文献

1
Identification of Epigenetic Regulatory Networks of Gene Methylation-miRNA-Transcription Factor Feed-Forward Loops in Basal-like Breast Cancer.基底样乳腺癌中基因甲基化-微小RNA-转录因子前馈环的表观遗传调控网络鉴定
Cells. 2025 Aug 10;14(16):1235. doi: 10.3390/cells14161235.
2
The breast cancer tumor microenvironment and precision medicine: immunogenicity and conditions favoring response to immunotherapy.乳腺癌肿瘤微环境与精准医学:免疫原性及有利于免疫治疗反应的条件。
J Natl Cancer Cent. 2024 Jan 26;4(1):14-24. doi: 10.1016/j.jncc.2024.01.004. eCollection 2024 Mar.
3
Bioinformatics analysis proposes a possible role for long noncoding RNA MIR17HG in retinoblastoma.

本文引用的文献

1
MiR-182 promotes proliferation and invasion and elevates the HIF-1α-VEGF-A axis in breast cancer cells by targeting FBXW7.微小RNA-182通过靶向F-Box蛋白7促进乳腺癌细胞的增殖和侵袭,并增强缺氧诱导因子-1α-血管内皮生长因子A轴。
Am J Cancer Res. 2016 Aug 1;6(8):1785-98. eCollection 2016.
2
Clinical Effects of Driver Somatic Mutations on the Outcomes of Patients With Myelodysplastic Syndromes Treated With Allogeneic Hematopoietic Stem-Cell Transplantation.驱动体细胞突变对接受异基因造血干细胞移植治疗的骨髓增生异常综合征患者预后的临床影响。
J Clin Oncol. 2016 Oct 20;34(30):3627-3637. doi: 10.1200/JCO.2016.67.3616.
3
Comprehensive analysis of differentially expressed profiles of lncRNAs and circRNAs with associated co-expression and ceRNA networks in bladder carcinoma.
生物信息学分析提出长非编码 RNA MIR17HG 在视网膜母细胞瘤中可能发挥作用。
Cancer Rep (Hoboken). 2024 Feb;7(2):e1933. doi: 10.1002/cnr2.1933. Epub 2024 Feb 6.
4
Multivariate competing endogenous RNA network characterization for cancer microRNA biomarker discovery: a novel bioinformatics model with application to prostate cancer metastasis.用于癌症微小RNA生物标志物发现的多变量竞争性内源性RNA网络特征分析:一种应用于前列腺癌转移的新型生物信息学模型
Precis Clin Med. 2022 Jan 10;5(1):pbac001. doi: 10.1093/pcmedi/pbac001. eCollection 2022 Mar.
5
Inferring Cell Subtypes and LncRNA Function by a Cell-Specific CeRNA Network in Breast Cancer.通过乳腺癌细胞特异性ceRNA网络推断细胞亚型和长链非编码RNA功能
Front Oncol. 2021 Apr 27;11:656675. doi: 10.3389/fonc.2021.656675. eCollection 2021.
6
Hsa_circ_0000199 facilitates chemo-tolerance of triple-negative breast cancer by interfering with miR-206/613-led PI3K/Akt/mTOR signaling.Hsa_circ_0000199 通过干扰 miR-206/613 介导的 PI3K/Akt/mTOR 信号通路促进三阴性乳腺癌的化疗耐受。
Aging (Albany NY). 2021 Jan 20;13(3):4522-4551. doi: 10.18632/aging.202415.
7
Comprehensive RNA expression profile of therapeutic adipose‑derived mesenchymal stem cells co‑cultured with degenerative nucleus pulposus cells.治疗性脂肪源性间充质干细胞与退变髓核细胞共培养的综合 RNA 表达谱。
Mol Med Rep. 2021 Mar;23(3). doi: 10.3892/mmr.2021.11824. Epub 2021 Jan 5.
8
Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network.基于 ceRNA 调控网络的高血压肾病生物标志物和通路的鉴定。
BMC Nephrol. 2020 Nov 11;21(1):476. doi: 10.1186/s12882-020-02142-8.
9
Breast Cancer and miR-SNPs: The Importance of miR Germ-Line Genetics.乳腺癌与微小RNA单核苷酸多态性:微小RNA种系遗传学的重要性
Noncoding RNA. 2019 Mar 20;5(1):27. doi: 10.3390/ncrna5010027.
10
Identification of key pathways and hub genes in basal-like breast cancer using bioinformatics analysis.利用生物信息学分析鉴定基底样乳腺癌中的关键通路和枢纽基因。
Onco Targets Ther. 2019 Feb 18;12:1319-1331. doi: 10.2147/OTT.S158619. eCollection 2019.
膀胱癌中lncRNAs和circRNAs差异表达谱及其相关共表达和ceRNA网络的综合分析
Oncotarget. 2016 Jul 26;7(30):47186-47200. doi: 10.18632/oncotarget.9706.
4
Three-Dimensional Breast Cancer Models Mimic Hallmarks of Size-Induced Tumor Progression.三维乳腺癌模型模拟大小诱导肿瘤进展的特征。
Cancer Res. 2016 Jul 1;76(13):3732-43. doi: 10.1158/0008-5472.CAN-15-2304. Epub 2016 May 23.
5
Changes in Expression of Genes Representing Key Biologic Processes after Neoadjuvant Chemotherapy in Breast Cancer, and Prognostic Implications in Residual Disease.新辅助化疗后乳腺癌关键生物学过程相关基因表达的变化及其对残留疾病的预后意义。
Clin Cancer Res. 2016 May 15;22(10):2405-16. doi: 10.1158/1078-0432.CCR-15-1488.
6
A miR-200c/141-BMI1 autoregulatory loop regulates oncogenic activity of BMI1 in cancer cells.一个miR-200c/141-BMI1自调控环调节癌细胞中BMI1的致癌活性。
Oncotarget. 2016 Jun 14;7(24):36220-36234. doi: 10.18632/oncotarget.8811.
7
MiR-33a Decreases High-Density Lipoprotein-Induced Radiation Sensitivity in Breast Cancer.微小RNA-33a降低乳腺癌中高密度脂蛋白诱导的辐射敏感性
Int J Radiat Oncol Biol Phys. 2016 Jun 1;95(2):791-9. doi: 10.1016/j.ijrobp.2016.01.025. Epub 2016 Jan 22.
8
STARD13-correlated ceRNA network inhibits EMT and metastasis of breast cancer.STARD13相关的ceRNA网络抑制乳腺癌的上皮-间质转化和转移。
Oncotarget. 2016 Apr 26;7(17):23197-211. doi: 10.18632/oncotarget.8099.
9
Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline.利用生物标志物指导早期浸润性乳腺癌女性辅助性全身治疗决策:美国临床肿瘤学会临床实践指南
J Clin Oncol. 2016 Apr 1;34(10):1134-50. doi: 10.1200/JCO.2015.65.2289. Epub 2016 Feb 8.
10
Serum Human Epidermal Growth Factor 2 Extracellular Domain as a Predictive Biomarker for Lapatinib Treatment Efficacy in Patients With Advanced Breast Cancer.血清人表皮生长因子 2 细胞外结构域作为晚期乳腺癌患者拉帕替尼治疗疗效的预测性生物标志物。
J Clin Oncol. 2016 Mar 20;34(9):936-44. doi: 10.1200/JCO.2015.62.4767. Epub 2016 Jan 25.