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Journal Articles

Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)

Free
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 Bonazzi, Sugandha Ravishankar, Leisl Packer, Feng Xing, David B. Solit, Richard S. Finn, Neal Rosen, Nicholas K. Hayward, Tim French, Paul D. Smith
Journal: Cancer Research
Cancer Res (2010) 70 (6): 2264–2273.
https://doi.org/10.1158/0008-5472.CAN-09-1577
Published: 14 March 2010
View articletitled, Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244)
Open the PDF for Transcriptional Pathway Signatures Predict MEK Addiction and Response to Selumetinib (AZD6244) in another window
Includes: Supplementary data
Journal Articles

Molecular determinants of the response of melanoma cell lines to the MEK1/2 inhibitor AZD6244 (ARRY-142886)

Free
Jonathan Dry, Sandra Pavey, Chris Harbron, Mark Hickinson, Tim French, Kai-Ming Chang, Mark Cockeril, Mitchell Stark, Vanessa Bonazzi, Sugandha Ravishankar, Leisl Packer, Nick Hayward, Paul Smith
Journal: Cancer Research
Cancer Res (2008) 68 (9_Supplement): 916.
Published: 01 May 2008
View articletitled, Molecular determinants of the response of melanoma cell lines to the MEK1/2 inhibitor AZD6244 (ARRY-142886)
Journal Articles

Genome-Wide Loss of Heterozygosity and Copy Number Analysis in Melanoma Using High-Density Single-Nucleotide Polymorphism Arrays

Free
Mitchell Stark, Nicholas Hayward
Journal: Cancer Research
Cancer Res (2007) 67 (6): 2632–2642.
https://doi.org/10.1158/0008-5472.CAN-06-4152
Published: 15 March 2007
View articletitled, Genome-Wide Loss of Heterozygosity and Copy Number Analysis in Melanoma Using High-Density Single-Nucleotide Polymorphism Arrays
Open the PDF for Genome-Wide Loss of Heterozygosity and Copy Number Analysis in Melanoma Using High-Density Single-Nucleotide Polymorphism Arrays in another window
Includes: Supplementary data
Journal Articles

High-risk Melanoma Susceptibility Genes and Pancreatic Cancer, Neural System Tumors, and Uveal Melanoma across GenoMEL

Free
Alisa M. Goldstein, May Chan, Mark Harland, Elizabeth M. Gillanders, Nicholas K. Hayward, Marie-Francoise Avril, Esther Azizi, Giovanna Bianchi-Scarra, D. Timothy Bishop, Brigitte Bressac-de Paillerets, William Bruno, Donato Calista, Lisa A. Cannon Albright, Florence Demenais, David E. Elder, Paola Ghiorzo, Nelleke A. Gruis, Johan Hansson, David Hogg, Elizabeth A. Holland, Peter A. Kanetsky, Richard F. Kefford, Maria Teresa Landi, Julie Lang, Sancy A. Leachman, Rona M. MacKie, Veronica Magnusson, Graham J. Mann, Kristin Niendorf, Julia Newton Bishop, Jane M. Palmer, Susana Puig, Joan A. Puig-Butille, Femke A. de Snoo, Mitchell Stark, Hensin Tsao, Margaret A. Tucker, Linda Whitaker, Emanuel Yakobson, The Lund Melanoma Study Group, the Melanoma Genetics Consortium (GenoMEL)
Journal: Cancer Research
Cancer Res (2006) 66 (20): 9818–9828.
https://doi.org/10.1158/0008-5472.CAN-06-0494
Published: 17 October 2006
View articletitled, High-risk Melanoma Susceptibility Genes and Pancreatic Cancer, Neural System Tumors, and Uveal Melanoma across GenoMEL
Open the PDF for High-risk Melanoma Susceptibility Genes and Pancreatic Cancer, Neural System Tumors, and Uveal Melanoma across GenoMEL in another window