Suppr超能文献

一个交互式资源,用于鉴定小分子靶向的癌症遗传和谱系依赖性。

An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules.

机构信息

The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.

Vanderbilt University School of Medicine, Nashville, TN 37232, USA.

出版信息

Cell. 2013 Aug 29;154(5):1151-1161. doi: 10.1016/j.cell.2013.08.003.

Abstract

The high rate of clinical response to protein-kinase-targeting drugs matched to cancer patients with specific genomic alterations has prompted efforts to use cancer cell line (CCL) profiling to identify additional biomarkers of small-molecule sensitivities. We have quantitatively measured the sensitivity of 242 genomically characterized CCLs to an Informer Set of 354 small molecules that target many nodes in cell circuitry, uncovering protein dependencies that: (1) associate with specific cancer-genomic alterations and (2) can be targeted by small molecules. We have created the Cancer Therapeutics Response Portal (http://www.broadinstitute.org/ctrp) to enable users to correlate genetic features to sensitivity in individual lineages and control for confounding factors of CCL profiling. We report a candidate dependency, associating activating mutations in the oncogene β-catenin with sensitivity to the Bcl-2 family antagonist, navitoclax. The resource can be used to develop novel therapeutic hypotheses and to accelerate discovery of drugs matched to patients by their cancer genotype and lineage.

摘要

针对具有特定基因组改变的癌症患者的蛋白激酶靶向药物的高临床反应率促使人们努力利用癌细胞系(CCL)分析来确定小分子敏感性的其他生物标志物。我们已经定量测量了 242 个具有基因组特征的 CCL 对 354 种小分子的 Informer Set 的敏感性,这些小分子靶向细胞电路中的许多节点,揭示了与特定癌症基因组改变相关联的蛋白质依赖性:(1)与特定癌症基因组改变相关联,(2)可以通过小分子靶向。我们创建了癌症治疗反应门户(http://www.broadinstitute.org/ctrp),使用户能够将遗传特征与个体谱系中的敏感性相关联,并控制 CCL 分析的混杂因素。我们报告了一个候选依赖性,即将癌基因β-catenin 的激活突变与 Bcl-2 家族拮抗剂 navitoclax 的敏感性相关联。该资源可用于开发新的治疗假设,并通过癌症基因型和谱系加速发现针对患者的药物。

相似文献

2
Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset.在大规模小分子敏感性数据集中利用连通性
Cancer Discov. 2015 Nov;5(11):1210-23. doi: 10.1158/2159-8290.CD-15-0235. Epub 2015 Oct 19.
8
Rationalizing Drug Response in Cancer Cell Lines.合理化癌细胞系的药物反应。
J Mol Biol. 2018 Sep 14;430(18 Pt A):3016-3027. doi: 10.1016/j.jmb.2018.03.021. Epub 2018 Apr 4.
9
Next-generation characterization of the Cancer Cell Line Encyclopedia.下一代癌症细胞系百科全书的特征描述。
Nature. 2019 May;569(7757):503-508. doi: 10.1038/s41586-019-1186-3. Epub 2019 May 8.

引用本文的文献

4
GATA3 promotes ferroptosis resistance by repressing integrin β1 signaling.GATA3通过抑制整合素β1信号传导来促进铁死亡抗性。
Proc Natl Acad Sci U S A. 2025 Aug 26;122(34):e2427304122. doi: 10.1073/pnas.2427304122. Epub 2025 Aug 19.
9
Artificial intelligence and anti-cancer drugs' response.人工智能与抗癌药物的反应。
Acta Pharm Sin B. 2025 Jul;15(7):3355-3371. doi: 10.1016/j.apsb.2025.05.009. Epub 2025 May 21.

本文引用的文献

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