RT Journal
A1 Vucic, Emily A.
A1 Thu, Kelsie L.
A1 Robison, Keith
A1 Rybaczyk, Leszek A.
A1 Chari, Raj
A1 Alvarez, Carlos E.
A1 Lam, Wan L.
T1 Translating cancer ‘omics’ to improved outcomes
JF Genome Research 
JO Genome Research 
YR 2012 
FD February 01 
VO 22 
IS 2 
SP 188 
OP 195 
DO 10.1101/gr.124354.111 
UL http://genome.cshlp.org/content/22/2/188.abstract 
AB The genomics era has yielded great advances in the understanding of cancer biology. At the same time, the immense complexity of the cancer genome has been revealed, as well as a striking heterogeneity at the whole-genome (or omics) level that exists between even histologically similar tumors. The vast accrual and public availability of multi-omics databases with associated clinical annotation including tumor histology, patient response, and outcome are a rich resource that has the potential to lead to rapid translation of high-throughput omics to improved overall survival. We focus on the unique advantages of a multidimensional approach to genomic analysis in this new high-throughput omics age and discuss the implications of the changing cancer demographic to translational omics research.