The cancer biomarker problem

By C. Sawyers. Nature, 2008

958 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Epigenome-Wide Association Studies for common human diseases (2011, background): “Translating any molecular marker, including DNAm differences, into clinically informative biomarkers has turned out to be more challengin”
Drug-induced death signaling strategy rapidly predicts cancer response to chemotherapy (2015, positive): “Selecting the Optimal Kinase Inhibitor Using Dynamic BH3 Profiling In clinical practice, an important application of a potentially powerful, widely applicable predictive biomarker would be to choose from among a panel of possible therapies (Sawyers, 2008).”
Biobanks - A Source of Large Biological Data Sets: Open Problems and Future Challenges (2014, background): “A good example in this respect is biomarker research [17]: Worldwide, health-care systems spend billions of dollars annually on biomarker research to foster personalized medicine.”
Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines (2014, background): “It is anticipated that the number of biomarkers discovered will rise as high-throughput sequencing becomes cheaper and more pervasive [3,4]; however, the effect size of these markers is generally small, since drug response is typically a complex trait, usually influenced by many genomic and environm”
Systems medicine: the future of medical genomics and healthcare (2009, neutral): “perturbation targets for drug development [187-196].”