2009
DOI: 10.1038/sj.bjc.6605031
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Molecular classification of solid tumours: towards pathway-driven therapeutics

Abstract: The last decade has witnessed unprecedented developments in the genetic and epigenetic analyses of solid tumours. Transcriptional and DNA copy-number studies have improved our understanding and classification of solid tumours and highlighted the patterns of genomic aberrations associated with outcome. The identification of altered transcriptional and translational silencing by microRNAs and epigenetic modification by methylation in tumours has showed a layer of additional intricacy to the regulation of gene ex… Show more

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Cited by 67 publications
(48 citation statements)
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“…Over the next few years, enormous amounts of genetic data will likely be generated. Improved tools to analyze cellular pathways and network analyses will become readily available (45)(46)(47)(48)(49)(50)(51). Linking clinical outcome to these genetic data and enforcing open-source data sharing will help to accelerate the development of clinical decision-making algorithms (52,53).…”
Section: Discussionmentioning
confidence: 99%
“…Over the next few years, enormous amounts of genetic data will likely be generated. Improved tools to analyze cellular pathways and network analyses will become readily available (45)(46)(47)(48)(49)(50)(51). Linking clinical outcome to these genetic data and enforcing open-source data sharing will help to accelerate the development of clinical decision-making algorithms (52,53).…”
Section: Discussionmentioning
confidence: 99%
“…While most cancer genome studies so far have focused on single patients, this pattern is likely to change as a result of ongoing international collaborations (3) and steep decreases in the cost of sequencing. The hope is that NGS data will shorten the road to personalized medicine, in which treatments and therapies are tailored to target the unique spectrum of mutations that define individual tumors and tumor subpopulations (4)(5)(6)(7)(8). However, this challenge, which has been referred to as "the $1,000 genomes, the $100,000 analysis" problem (9), will only continue to grow.…”
Section: Introductionmentioning
confidence: 99%
“…Therapeutic decisions in oncology are based on correlations between tumor characteristics and possibility of disease relapse (1). Limitations of such approaches, however, are now leading to the development of therapies considering individual-specific genetic defects.…”
Section: Introductionmentioning
confidence: 99%