• 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

改变的肿瘤调节模块是染色质调节因子驱动突变的基础。

Altered oncomodules underlie chromatin regulatory factors driver mutations.

作者信息

Frigola Joan, Iturbide Ane, Lopez-Bigas Nuria, Peiro Sandra, Gonzalez-Perez Abel

机构信息

Research Program on Biomedical Informatics, IMIM Hospital del Mar Medical Research Institute and Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain.

Programa de Recerca en Càncer, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain.

出版信息

Oncotarget. 2016 May 24;7(21):30748-59. doi: 10.18632/oncotarget.8752.

DOI:10.18632/oncotarget.8752
PMID:27095575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5058714/
Abstract

Chromatin regulatory factors (CRFs), are known to be involved in tumorigenesis in several cancer types. Nevertheless, the molecular mechanisms through which driver alterations of CRFs cause tumorigenesis remain unknown. Here, we developed a CRFs Oncomodules Discovery approach, which mines several sources of cancer genomics and perturbaomics data. The approach prioritizes sets of genes significantly miss-regulated in primary tumors (oncomodules) bearing mutations of driver CRFs. We applied the approach to eleven TCGA tumor cohorts and uncovered oncomodules potentially associated to mutations of five driver CRFs in three cancer types. Our results revealed, for example, the potential involvement of the mTOR pathway in the development of tumors with loss-of-function mutations of MLL2 in head and neck squamous cell carcinomas. The experimental validation that MLL2 loss-of-function increases the sensitivity of cancer cell lines to mTOR inhibition lends further support to the validity of our approach. The potential oncogenic modules detected by our approach may guide experiments proposing ways to indirectly target driver mutations of CRFs.

摘要

染色质调节因子(CRFs)已知参与多种癌症类型的肿瘤发生过程。然而,CRFs的驱动改变导致肿瘤发生的分子机制仍不清楚。在此,我们开发了一种CRFs肿瘤模块发现方法,该方法挖掘癌症基因组学和扰动组学数据的多个来源。该方法对在携带驱动CRFs突变的原发性肿瘤(肿瘤模块)中显著失调的基因集进行优先级排序。我们将该方法应用于11个TCGA肿瘤队列,并在三种癌症类型中发现了可能与五种驱动CRFs突变相关的肿瘤模块。例如,我们的结果揭示了mTOR通路在头颈部鳞状细胞癌中MLL2功能丧失突变的肿瘤发生中的潜在作用。MLL2功能丧失增加癌细胞系对mTOR抑制的敏感性的实验验证进一步支持了我们方法的有效性。我们的方法检测到的潜在致癌模块可能为提出间接靶向CRFs驱动突变的方法的实验提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/e474e5f96a25/oncotarget-07-30748-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/a98f35615e19/oncotarget-07-30748-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/19dc72063e1c/oncotarget-07-30748-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/e474e5f96a25/oncotarget-07-30748-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/a98f35615e19/oncotarget-07-30748-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/19dc72063e1c/oncotarget-07-30748-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c832/5058714/e474e5f96a25/oncotarget-07-30748-g003.jpg

相似文献

1
Altered oncomodules underlie chromatin regulatory factors driver mutations.改变的肿瘤调节模块是染色质调节因子驱动突变的基础。
Oncotarget. 2016 May 24;7(21):30748-59. doi: 10.18632/oncotarget.8752.
2
Identification of druggable cancer driver genes amplified across TCGA datasets.在TCGA数据集中鉴定出扩增的可靶向癌症驱动基因。
PLoS One. 2014 May 29;9(5):e98293. doi: 10.1371/journal.pone.0098293. eCollection 2014.
3
OncoVar: an integrated database and analysis platform for oncogenic driver variants in cancers.OncoVar:癌症中致癌驱动变异的综合数据库和分析平台。
Nucleic Acids Res. 2021 Jan 8;49(D1):D1289-D1301. doi: 10.1093/nar/gkaa1033.
4
Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes.机器学习分类和癌症突变的结构-功能分析揭示了癌基因和肿瘤抑制基因中驱动位点的独特动态和网络特征。
J Chem Inf Model. 2018 Oct 22;58(10):2131-2150. doi: 10.1021/acs.jcim.8b00414. Epub 2018 Oct 3.
5
Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks.远端调控元件和长程染色质互作网络中的候选癌症驱动突变。
Mol Cell. 2020 Mar 19;77(6):1307-1321.e10. doi: 10.1016/j.molcel.2019.12.027. Epub 2020 Jan 17.
6
Rational design of cancer gene panels with OncoPaD.使用OncoPaD对癌症基因面板进行合理设计。
Genome Med. 2016 Oct 3;8(1):98. doi: 10.1186/s13073-016-0349-1.
7
Molecular analysis of urothelial cancer cell lines for modeling tumor biology and drug response.用于模拟肿瘤生物学和药物反应的尿路上皮癌细胞系的分子分析。
Oncogene. 2017 Jan 5;36(1):35-46. doi: 10.1038/onc.2016.172. Epub 2016 Jun 6.
8
Discovering potential cancer driver genes by an integrated network-based approach.通过基于网络的综合方法发现潜在的癌症驱动基因。
Mol Biosyst. 2016 Aug 16;12(9):2921-31. doi: 10.1039/c6mb00274a.
9
Mutated Chromatin Regulatory Factors as Tumor Drivers in Cancer.突变的染色质调控因子作为癌症中的肿瘤驱动因素
Cancer Res. 2017 Jan 15;77(2):227-233. doi: 10.1158/0008-5472.CAN-16-2301. Epub 2017 Jan 6.
10
A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles.一种利用个人基因组图谱进行临床相关癌症分层和驱动基因突变模块发现的计算方法。
BMC Genomics. 2015;16 Suppl 7(Suppl 7):S6. doi: 10.1186/1471-2164-16-S7-S6. Epub 2015 Jun 11.

引用本文的文献

1
Systematic analysis of alterations in the ubiquitin proteolysis system reveals its contribution to driver mutations in cancer.对泛素蛋白水解系统改变的系统分析揭示了其对癌症驱动突变的作用。
Nat Cancer. 2020 Jan;1(1):122-135. doi: 10.1038/s43018-019-0001-2. Epub 2019 Dec 2.

本文引用的文献

1
In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities.计算指导下针对 28 种肿瘤类型的癌症药物处方揭示了靶向机会。
Cancer Cell. 2015 Mar 9;27(3):382-96. doi: 10.1016/j.ccell.2015.02.007.
2
Transcription factors Hsf1 and Nrf2 engage in crosstalk for cytoprotection.转录因子 Hsf1 和 Nrf2 相互作用以实现细胞保护。
Trends Pharmacol Sci. 2015 Jan;36(1):6-14. doi: 10.1016/j.tips.2014.10.011. Epub 2014 Nov 22.
3
The head and neck cancer cell oncogenome: a platform for the development of precision molecular therapies.
头颈癌细胞肿瘤基因组:精准分子疗法开发的平台。
Oncotarget. 2014 Oct 15;5(19):8906-23. doi: 10.18632/oncotarget.2417.
4
OncodriveROLE classifies cancer driver genes in loss of function and activating mode of action.OncodriveROLE在功能丧失和激活作用模式下对癌症驱动基因进行分类。
Bioinformatics. 2014 Sep 1;30(17):i549-55. doi: 10.1093/bioinformatics/btu467.
5
A description of the Molecular Signatures Database (MSigDB) Web site.分子特征数据库(MSigDB)网站的描述。
Methods Mol Biol. 2014;1150:153-60. doi: 10.1007/978-1-4939-0512-6_9.
6
Discovery and saturation analysis of cancer genes across 21 tumour types.在 21 种肿瘤类型中发现和饱和分析癌症基因。
Nature. 2014 Jan 23;505(7484):495-501. doi: 10.1038/nature12912. Epub 2014 Jan 5.
7
The Reactome pathway knowledgebase.Reactome 通路知识库。
Nucleic Acids Res. 2014 Jan;42(Database issue):D472-7. doi: 10.1093/nar/gkt1102. Epub 2013 Nov 15.
8
Comprehensive identification of mutational cancer driver genes across 12 tumor types.综合鉴定 12 种肿瘤类型中的突变致癌驱动基因。
Sci Rep. 2013 Oct 2;3:2650. doi: 10.1038/srep02650.
9
The mutational landscape of chromatin regulatory factors across 4,623 tumor samples.4623份肿瘤样本中染色质调控因子的突变图谱。
Genome Biol. 2013;14(9):r106. doi: 10.1186/gb-2013-14-9-r106.
10
IntOGen-mutations identifies cancer drivers across tumor types.IntOGen 突变可鉴定多种肿瘤类型的癌症驱动基因。
Nat Methods. 2013 Nov;10(11):1081-2. doi: 10.1038/nmeth.2642. Epub 2013 Sep 15.