Cancer genomics: from discovery science to personalized medicine

By Lynda Chin, Jannik N Andersen, P. A. Futreal. Nature Medicine, 2011

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Network-based stratification of tumor mutations (2013, methodology): “Such methods are also of pressing need in the clinic, where the impact of genome-scale tumor profiling has been limited by the inability to derive clinically relevant conclusions from the data 4,5 .”
More Is Better: Recent Progress in Multi-Omics Data Integration Methods (2017, background): “A new era of personalized medicine has arrived, which proposes an individualized health care model with tailored medical target treatment and management for each patient (Chin et al., 2011).”
Identification of Targetable FGFR Gene Fusions in Diverse Cancers (2013, positive): “Advances in next-generation sequencing technologies have refined the molecular taxonomy of a spectrum of human diseases and facilitated a move towards “precision medicine” (1, 2).”
Big Data: Astronomical or Genomical? (2015, methodology): “The values through 2015 are based on the historical publication record, with selected milestones in sequencing (first Sanger through first PacBio human genome published) as well as three exemplar projects using large-scale sequencing: the 1000 Genomes Project, aggregating hundreds of human genomes b”
Extracellular matrix structure. (2016, background): “cancerous outgrowth of epithelial cells, whereas perturbation of homeostasis enables the initiation and progression of malignancy as well as the emergence of resistance [348-351].”