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Preclinical strategies to define predictive biomarkers for therapeutically relevant cancer subtypes

Abstract

Defining key driver mutations in cancer, the resulting aberrations in molecular mechanisms and the subsequent phenotype underpins the development and implementation of novel personalized medicine strategies. The literature is replete with biomarkers of prognosis and therapeutic responsiveness identified in single cohorts of patients that have not been independently validated and as a consequence, not developed. Integrating companion biomarker discovery with therapeutic development at the preclinical stage creates the opportunity to identify candidate biomarkers early, which would significantly facilitate both biomarker and therapeutic development. Advances in "-omic" technologies have led to large-scale efforts in characterizing and cataloguing the full range of aberrations in cancer. These include the International Cancer Genome Consortium and The Cancer Genome Atlas, which aim to comprehensively catalogue the range of genomic aberrations for large numbers of cancers for a progressively increasing range of cancer types and subtypes. The technical challenges associated with achieving these goals in some instances have required the generation of primary xenografts and cell lines. These extensively characterized model systems will provide an unprecedented resource for the discovery of biomarkers of therapeutic responsiveness for established therapies, and the development of companion biomarkers linked with preclinical novel therapeutic development in the future.

Authors Pajic, M.; Scarlett, C.J.; Chang, D.K.; Sutherland, R.L.; Biankin, A.V.
Garvan Authors Dr Marina Pajic
Publisher Name HUM GENET
Published Date 2011-07-01 00:00:00
Published Volume 130
Published Issue 1
Published Pages 93-101
URL http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21516344
Status Published In-print
OpenAccess Link https://publications.gimr.garvan.org.au/download.php?10996_11483/11 Pajic HG.pdf