Paradigms for Precision Medicine in Epichaperome Cancer Therapy

Nagavarakishore Pillarsetty, Komal Jhaveri, Tony Taldone, Eloisi Caldas-Lopes, Blesida Punzalan, Suhasini Joshi, Alexander Bolaender, Mohammad M. Uddin, Anna Rodina, Pengrong Yan, Anson Ku, Thomas Ku, Smit K. Shah, Serge Lyashchenko, Eva Burnazi, Tai Wang, Nicolas Lecomte, Yelena Janjigian, Anas Younes, Connie W. BatleviMonica L. Guzman, Gail J. Roboz, Jacek Koziorowski, Pat Zanzonico, Mary L. Alpaugh, Adriana Corben, Shanu Modi, Larry Norton, Steven M. Larson, Jason S. Lewis, Gabriela Chiosis, John F. Gerecitano, Mark P.S. Dunphy

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)559-573.e7
JournalCancer Cell
Issue number5
StatePublished - Nov 11 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cell Biology
  • Cancer Research


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