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Paradigms for Precision Medicine in Epichaperome Cancer Therapy.
Cancer Cell ( IF 48.8 ) Pub Date : 2019-10-24 , DOI: 10.1016/j.ccell.2019.09.007
Nagavarakishore Pillarsetty 1 , Komal Jhaveri 2 , Tony Taldone 3 , Eloisi Caldas-Lopes 3 , Blesida Punzalan 1 , Suhasini Joshi 3 , Alexander Bolaender 3 , Mohammad M Uddin 3 , Anna Rodina 3 , Pengrong Yan 3 , Anson Ku 1 , Thomas Ku 1 , Smit K Shah 3 , Serge Lyashchenko 4 , Eva Burnazi 4 , Tai Wang 3 , Nicolas Lecomte 5 , Yelena Janjigian 5 , Anas Younes 6 , Connie W Batlevi 6 , Monica L Guzman 7 , Gail J Roboz 7 , Jacek Koziorowski 1 , Pat Zanzonico 8 , Mary L Alpaugh 3 , Adriana Corben 9 , Shanu Modi 2 , Larry Norton 2 , Steven M Larson 10 , Jason S Lewis 10 , Gabriela Chiosis 11 , John F Gerecitano 6 , Mark P S Dunphy 1
Affiliation  

Alterations in protein-protein interaction networks are at the core of malignant transformation but have yet to be translated into appropriate diagnostic tools. We make use of the kinetic selectivity properties of an imaging probe to visualize and measure the epichaperome, a pathologic protein-protein interaction network. We are able to assay and image epichaperome networks in cancer and their engagement by inhibitor in patients' tumors at single-lesion resolution in real time, and demonstrate that quantitative evaluation at the level of individual tumors can be used to optimize dose and schedule selection. We thus provide preclinical and clinical evidence in the use of this theranostic platform for precision medicine targeting of the aberrant properties of protein networks.

中文翻译:

表壳癌治疗中的精准医学范例。

蛋白质-蛋白质相互作用网络的改变是恶性转化的核心,但尚未转化为合适的诊断工具。我们利用成像探针的动力学选择性特性来可视化并测量表壳虫,一种病理性蛋白-蛋白相互作用网络。我们能够以单病灶实时分析和分析癌症中的表观基因组网络以及抑制剂在患者肿瘤中的参与,证明在单个肿瘤水平上的定量评估可用于优化剂量和时间表选择。因此,我们在使用该治疗诊断平台用于精确医学靶向蛋白质网络异常特性方面提供了临床前和临床证据。
更新日期:2019-11-09
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