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已获批用于临床的所有靶向激酶抑制剂的癌症基因靶向性与生化选择性比较。

Comparison of the cancer gene targeting and biochemical selectivities of all targeted kinase inhibitors approved for clinical use.

作者信息

Uitdehaag Joost C M, de Roos Jeroen A D M, van Doornmalen Antoon M, Prinsen Martine B W, de Man Jos, Tanizawa Yoshinori, Kawase Yusuke, Yoshino Kohichiro, Buijsman Rogier C, Zaman Guido J R

机构信息

Netherlands Translational Research Center B.V., Oss, The Netherlands.

Carna Biosciences Inc., Kobe, Japan.

出版信息

PLoS One. 2014 Mar 20;9(3):e92146. doi: 10.1371/journal.pone.0092146. eCollection 2014.

Abstract

The anti-proliferative activities of all twenty-five targeted kinase inhibitor drugs that are in clinical use were measured in two large assay panels: (1) a panel of proliferation assays of forty-four human cancer cell lines from diverse tumour tissue origins; and (2) a panel of more than 300 kinase enzyme activity assays. This study provides a head-on comparison of all kinase inhibitor drugs in use (status Nov. 2013), and for six of these drugs, the first kinome profiling data in the public domain. Correlation of drug activities with cancer gene mutations revealed novel drug sensitivity markers, suggesting that cancers dependent on mutant CTNNB1 will respond to trametinib and other MEK inhibitors, and cancers dependent on SMAD4 to small molecule EGFR inhibitor drugs. Comparison of cellular targeting efficacies reveals the most targeted inhibitors for EGFR, ABL1 and BRAF(V600E)-driven cell growth, and demonstrates that the best targeted agents combine high biochemical potency with good selectivity. For ABL1 inhibitors, we computationally deduce optimized kinase profiles for use in a next generation of drugs. Our study shows the power of combining biochemical and cellular profiling data in the evaluation of kinase inhibitor drug action.

摘要

对所有25种临床使用的靶向激酶抑制剂药物的抗增殖活性进行了检测,检测在两个大型检测组中进行:(1)一组来自不同肿瘤组织来源的44种人类癌细胞系的增殖检测;(2)一组超过300种激酶酶活性检测。本研究对所有正在使用的激酶抑制剂药物(截至2013年11月的情况)进行了直接比较,并且对于其中6种药物,提供了公开领域的首个激酶组谱数据。药物活性与癌症基因突变的相关性揭示了新的药物敏感性标志物,表明依赖突变型CTNNB1的癌症将对曲美替尼和其他MEK抑制剂产生反应,而依赖SMAD4的癌症对小分子EGFR抑制剂药物产生反应。细胞靶向效力的比较揭示了针对EGFR、ABL1和BRAF(V600E)驱动的细胞生长的最具靶向性的抑制剂,并证明最佳的靶向药物将高生化效力与良好的选择性结合在一起。对于ABL1抑制剂,我们通过计算推导了用于下一代药物的优化激酶谱。我们的研究显示了在评估激酶抑制剂药物作用时结合生化和细胞谱数据的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4de0/3961306/7ed62d937f34/pone.0092146.g001.jpg

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