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


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

15/03/2010

Resumo

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.

Identificador

http://eprints.qut.edu.au/76310/

Publicador

American Association for Cancer Research

Relação

DOI:10.1158/0008-5472.CAN-09-1577

Dry, Jonathan R., Pavey, Sandra, Pratilas, Christine A., Harbron, Chris, Runswick, Sarah, Hodgson, Darren, Chresta, Christine, McCormack, Rose, Byrne, Natalie, Cockerill, Mark, Graham, Alexander, Beran, Garry, Cassidy, Andrew, Haggerty, Carolyn, Brown, Helen, Ellison, Gillian, Dering, Judy, Taylor, Barry S., Stark, Mitchell, Bonazzi, Vanessa, Ravishankar, Sugandha, Packer, Leisl, Xing, Feng, Solit, David B., Finn, Richard S., Rosen, Neal, Hayward, Nicholas K., French, Tim, & Smith, Paul D. (2010) Transcriptional pathway signatures predict MEK addiction and response to selumetinib (AZD6244). Cancer Research, 70(6), pp. 2264-2273.

Fonte

School of Biomedical Sciences; Faculty of Health; Institute of Health and Biomedical Innovation

Palavras-Chave #110100 MEDICAL BIOCHEMISTRY AND METABOLOMICS #111200 ONCOLOGY AND CARCINOGENESIS #5 (4 bromo 2 chloroanilino) 4 fluoro 1 methyl 1h benzimidazole 6 carbohydroxamic acid 2 hydroxyethyl ester; enzyme inhibitor; messenger RNA; mitogen activated protein kinase kinase; phosphatidylinositol 3 kinase; article; breast tumor; cancer model; colon
Tipo

Journal Article