An Epithelial–Mesenchymal Transition Gene Signature Predicts Resistance to EGFR and PI3K Inhibitors and Identifies Axl as a Therapeutic Target for Overcoming EGFR Inhibitor Resistance

Averett Byers, Lauren; Diao, Lixia; Wang, Jing; Saintigny, Pierre; Girard, Luc; Peyton, Michael; Shen, Li; Fan, Youhong; Giri, Uma; K. Tumula, Praveen; B. Nilsson, Monique; Gudikote, Jayanthi; Tran, Hai; J.G. Cardnell, Robert; J. Bearss, David; L. Warner, Steven; M. Foulks, Jason; B. Kanner, Steven; Gandhi, Varsha; Krett, Nancy; T. Rosen, Steven; S. Kim, Edward; S. Herbst, Roy; R. Blumenschein, George; Jack Lee, J.; M. Lippman, Scott; Kian Ang, K.; B. Mills, Gordon; K. Hong, Waun; N. Weinstein, John; I. Wistuba, Ignacio; R. Coombes, Kevin; D. Minna, John; V. Heymach, John

doi:10.1158/1078-0432.ccr-12-1558

Public

An Epithelial–Mesenchymal Transition Gene Signature Predicts Resistance to EGFR and PI3K Inhibitors and Identifies Axl as a Therapeutic Target for Overcoming EGFR Inhibitor Resistance

Shared by NobleBlocks on Jan 1, 2013 • 12:00 AM UTC

Authors:

Lauren Averett Byers

Lixia Diao

Jing Wang

Abstract

Abstract Purpose: Epithelial–mesenchymal transition (EMT) has been associated with metastatic spread and EGF receptor (EGFR) inhibitor resistance. We developed and validated a robust 76-gene EMT signature using gene expression profiles from four platforms using non–small cell lung carcinoma (NSCLC) ...

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!