Nature Communications (Mar 2017)

Proteogenomic integration reveals therapeutic targets in breast cancer xenografts

  • Kuan-lin Huang,
  • Shunqiang Li,
  • Philipp Mertins,
  • Song Cao,
  • Harsha P. Gunawardena,
  • Kelly V. Ruggles,
  • D. R. Mani,
  • Karl R. Clauser,
  • Maki Tanioka,
  • Jerry Usary,
  • Shyam M. Kavuri,
  • Ling Xie,
  • Christopher Yoon,
  • Jana W Qiao,
  • John Wrobel,
  • Matthew A. Wyczalkowski,
  • Petra Erdmann-Gilmore,
  • Jacqueline E. Snider,
  • Jeremy Hoog,
  • Purba Singh,
  • Beifang Niu,
  • Zhanfang Guo,
  • Sam Qiancheng Sun,
  • Souzan Sanati,
  • Emily Kawaler,
  • Xuya Wang,
  • Adam Scott,
  • Kai Ye,
  • Michael D. McLellan,
  • Michael C. Wendl,
  • Anna Malovannaya,
  • Jason M. Held,
  • Michael A. Gillette,
  • David Fenyö,
  • Christopher R. Kinsinger,
  • Mehdi Mesri,
  • Henry Rodriguez,
  • Sherri R. Davies,
  • Charles M. Perou,
  • Cynthia Ma,
  • R. Reid Townsend,
  • Xian Chen,
  • Steven A. Carr,
  • Matthew J. Ellis,
  • Li Ding

DOI
https://doi.org/10.1038/ncomms14864
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 17

Abstract

Read online

Patient-derived xenografts recapitulate major genomic signatures and transcriptome profiles of their original tumours. Here, the authors, performing proteomic and phosphoproteomic analyses of 24 breast cancer PDX models, demonstrate that druggable candidates can be identified based on a comprehensive proteogenomic profiling.