• 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

为什么遗传学家窃取癌症研究成果,尽管癌症主要是一种信号疾病。

Why geneticists stole cancer research even though cancer is primarily a signaling disease.

机构信息

Chief Scientific Advisor and Academic Editor, Science Signaling, American Association for the Advancement of Science, Washington, DC 20005, USA.

David H. Koch Institute for Integrative Cancer Research, MIT Center for Precision Cancer Medicine, Broad Institute, and the Departments of Biology and Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

出版信息

Sci Signal. 2019 Jan 22;12(565):eaaw3483. doi: 10.1126/scisignal.aaw3483.

DOI:10.1126/scisignal.aaw3483
PMID:30670634
Abstract

Genetic approaches to cancer research have dramatically advanced our understanding of the pathophysiology of this disease, leading to similar genetics-based approaches for precision therapy, which have been less successful. Reconfiguring and adapting the types of technologies that underlie genetic research to dissect tumor cell signaling in clinical samples may offer an alternative road forward.

摘要

基因方法在癌症研究方面取得了显著进展,使我们对这种疾病的病理生理学有了更深入的了解,并在此基础上提出了类似的基于遗传学的精准治疗方法,但效果并不理想。重新配置和调整基因研究的基础技术类型,以剖析临床样本中的肿瘤细胞信号,可能是一种前进的替代方法。

相似文献

1
Why geneticists stole cancer research even though cancer is primarily a signaling disease.为什么遗传学家窃取癌症研究成果,尽管癌症主要是一种信号疾病。
Sci Signal. 2019 Jan 22;12(565):eaaw3483. doi: 10.1126/scisignal.aaw3483.
2
Human genetics: conceptual and practical advances in the post-genome era.人类遗传学:后基因组时代的概念与实践进展
Curr Opin Genet Dev. 2009 Jun;19(3):193-5. doi: 10.1016/j.gde.2009.05.002. Epub 2009 May 27.
3
Q&A: promise and pitfalls of genome-wide association studies.问答:全基因组关联研究的前景与陷阱
BMC Biol. 2010 Apr 12;8:41. doi: 10.1186/1741-7007-8-41.
4
Finding the missing heritability of complex diseases.寻找复杂疾病中缺失的遗传力。
Nature. 2009 Oct 8;461(7265):747-53. doi: 10.1038/nature08494.
5
[Molecular and genetic epidemiology].[分子与遗传流行病学]
Exp Mol Med. 2001 Apr 21;33(1 Suppl):73-82.
6
The scientific drunk and the lamppost: massive sequencing efforts in cancer discovery and treatment.科学醉汉与灯柱:癌症发现与治疗中的大规模测序努力。
Sci Signal. 2013 Apr 2;6(269):pe13. doi: 10.1126/scisignal.2003684.
7
Genome-wide association studies in neurological disorders.神经系统疾病的全基因组关联研究。
Lancet Neurol. 2008 Nov;7(11):1067-72. doi: 10.1016/S1474-4422(08)70241-2.
8
Interview with Rima Rozen.对瑞玛·罗森的采访。
Pharmacogenomics. 2008 Sep;9(9):1187-90. doi: 10.2217/14622416.9.9.1187.
9
From bench to bedside and back: the value of candidate gene association studies in translational research.从实验室到临床再回归:候选基因关联研究在转化医学研究中的价值
Stroke. 2007 Jan;38(1):6. doi: 10.1161/01.STR.0000252121.56643.4a. Epub 2006 Nov 22.
10
Dissecting the genetic background of multifactorial diseases and traits - A major challenge for genetic research.剖析多因素疾病和性状的遗传背景——遗传研究的一项重大挑战。
Mol Cell Probes. 2016 Dec;30(6):345. doi: 10.1016/j.mcp.2016.11.003.

引用本文的文献

1
Multiomics Identifies Potential Molecular Profiles Associated With Outcomes After BRAF-Targeted Therapy in Patients With BRAF V600E-Mutated Advanced Solid Tumors.多组学技术鉴定出与BRAF V600E突变的晚期实体瘤患者接受BRAF靶向治疗后的预后相关的潜在分子特征。
JCO Precis Oncol. 2025 Mar;9:e2400266. doi: 10.1200/PO.24.00266. Epub 2025 Mar 13.
2
Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma.整合内在凋亡机制的分子和功能特征,鉴定神经胶质瘤治疗的脆弱性。
Nat Commun. 2024 Nov 21;15(1):10089. doi: 10.1038/s41467-024-54138-9.
3
A review and perspective paper: Ras oncogene gets modest, from kingpin to mere henchman.
综述与观点论文:Ras 癌基因从主谋到小喽啰。
Cell Mol Life Sci. 2024 Oct 1;81(1):412. doi: 10.1007/s00018-024-05449-z.
4
Mass Spectrometry-Based Proteomics for Classification and Treatment Optimisation of Triple Negative Breast Cancer.基于质谱的蛋白质组学用于三阴性乳腺癌的分类和治疗优化
J Pers Med. 2024 Sep 5;14(9):944. doi: 10.3390/jpm14090944.
5
Recent developments in mass-spectrometry-based targeted proteomics of clinical cancer biomarkers.基于质谱的临床癌症生物标志物靶向蛋白质组学的最新进展。
Clin Proteomics. 2024 Jan 30;21(1):6. doi: 10.1186/s12014-024-09452-1.
6
Functional and spatial proteomics profiling reveals intra- and intercellular signaling crosstalk in colorectal cancer.功能和空间蛋白质组学分析揭示了结直肠癌中的细胞内和细胞间信号串扰。
iScience. 2023 Nov 4;26(12):108399. doi: 10.1016/j.isci.2023.108399. eCollection 2023 Dec 15.
7
Mass spectrometry-based proteomics as an emerging tool in clinical laboratories.基于质谱的蛋白质组学作为临床实验室中的一种新兴工具。
Clin Proteomics. 2023 Aug 26;20(1):32. doi: 10.1186/s12014-023-09424-x.
8
Proteomics-based clustering of lung adenocarcinoma identifies three subtypes with significantly different clinical and molecular features.基于蛋白质组学的肺腺癌聚类分析确定了三种具有显著不同临床和分子特征的亚型。
Clin Transl Oncol. 2024 Feb;26(2):538-548. doi: 10.1007/s12094-023-03275-6. Epub 2023 Aug 21.
9
Editorial: Editors' showcase 2021: Insights in cell growth and division.社论:2021年编辑精选:细胞生长与分裂的见解
Front Cell Dev Biol. 2023 May 9;11:1208767. doi: 10.3389/fcell.2023.1208767. eCollection 2023.
10
Pan-Cancer landscape of protein activities identifies drivers of signalling dysregulation and patient survival.泛癌种蛋白活性全景分析揭示信号失调的驱动因素和患者生存情况。
Mol Syst Biol. 2023 Mar 9;19(3):e10631. doi: 10.15252/msb.202110631. Epub 2023 Jan 23.