Thursday, May 9, 2013
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Colorectal cancer (CRC)
classification system that correlates cellular phenotype to clinical outcome
Computational analysis of
drug-induced gene expression profiles in CRC provides a classification system
that could be used to guide treatment decisions. Gene expression data from
1,290 CRC tumors were analyzed and mapped to a data set of clinical responses
to the epidermal growth factor receptor
(EGFR) inhibitor Erbitux cetuximab in 80
patients. Six subgroups were identified that corresponded to different levels
of disease-free survival. For each subgroup, gene expression and protein
biomarkers were identified that could be used to propose subtype-specific
therapeutic strategies. Next steps include refining the quantitative gene
expression approach and further validating the CRC subtype-specific
signatures using additional retrospective sample sets.
Eli Lilly and Co. and
partners Bristol-Myers Squibb Co.
and Merck KGaA market Erbitux
to treat CRC and head and neck cancer.
Published online May 9, 2013
Patent status undisclosed;
available for licensing
Sadanandam, A. et al.
Nat. Med.; published online April 14, 2013;
Contact: Douglas Hanahan, Swiss Institute of Bioinformatics,
Contact: Joe W. Gray, Oregon
Health & Science University,
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