Transcriptional pathway signatures predict MEK addiction and response to selumetinib (AZD6244)

Jonathan R. Dry, Sandra Pavey, Christine A. Pratilas, Chris Harbron, Sarah Runswick, Darren Hodgson, Christine Chresta, Rose McCormack, Natalie Byrne, Mark Cockerill, Alexander Graham, Garry Beran, Andrew Cassidy, Carolyn Haggerty, Helen Brown, Gillian Ellison, Judy Dering, Barry S. Taylor, Mitchell Stark, Vanessa BonazziSugandha Ravishankar, Leisl Packer, Feng Xing, David B. Solit, Richard S. Finn, Neal Rosen, Nicholas K. Hayward, Tim French, Paul D. Smith

Research output: Contribution to journalArticle

Abstract

Selumetinib (AZD6244, ARRY-142886) is a selective, non-ATP-competitive inhibitor of mitogen-activated protein/extracellular signal-regulated kinase kinase (MEK)-1/2. The range of antitumor activity seen preclinically and in patients highlights the importance of identifying determinants of response to this drug. In large tumor cell panels of diverse lineage, we show that MEK inhibitor response does not have an absolute correlation with mutational or phospho-protein markers of BRAF/MEK, RAS, or phosphoinositide 3-kinase (PI3K) activity. We aimed to enhance predictivity by measuring pathway output through coregulated gene networks displaying differential mRNA expression exclusive to resistant cell subsets and correlated to mutational or dynamic pathway activity. We discovered an 18-gene signature enabling measurement of MEK functional output independent of tumor genotype. Where the MEK pathway is activated but the cells remain resistant to selumetinib, we identified a 13-gene signature that implicates the existence of compensatory signaling from RAS effectors other than PI3K. The ability of these signatures to stratify samples according to functional activation of MEK and/or selumetinib sensitivity was shown in multiple independent melanoma, colon, breast, and lung tumor cell lines and in xenograft models. Furthermore, we were able to measure these signatures in fixed archival melanoma tumor samples using a single RT-qPCR-based test and found intergene correlations and associations with genetic markers of pathway activity to be preserved. These signatures offer useful tools for the study of MEK biology and clinical application of MEK inhibitors, and the novel approaches taken may benefit other targeted therapies.

Original languageEnglish (US)
Pages (from-to)2264-2273
Number of pages10
JournalCancer Research
Volume70
Issue number6
DOIs
StatePublished - Mar 15 2010

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'Transcriptional pathway signatures predict MEK addiction and response to selumetinib (AZD6244)'. Together they form a unique fingerprint.

  • Cite this

    Dry, J. R., Pavey, S., Pratilas, C. A., Harbron, C., Runswick, S., Hodgson, D., Chresta, C., McCormack, R., Byrne, N., Cockerill, M., Graham, A., Beran, G., Cassidy, A., Haggerty, C., Brown, H., Ellison, G., Dering, J., Taylor, B. S., Stark, M., ... Smith, P. D. (2010). Transcriptional pathway signatures predict MEK addiction and response to selumetinib (AZD6244). Cancer Research, 70(6), 2264-2273. https://doi.org/10.1158/0008-5472.CAN-09-1577