Multiple Molecular Data Sets and the Classification of Adult Diffuse Gliomas
A partir d'échantillons tumoraux prélevés sur 293 patients adultes atteints d'un gliome de grade inférieur, cette étude met en évidence l'intérêt d'une classification moléculaire de ces gliomes par comparaison avec une classification histologique
In these days of individualized precision medicine and “big data” generated by means of next-generation sequencing, there are expectations that new therapeutic strategies for cancer will be quickly conceived and then realized in the clinic. Next-generation sequencing has certainly provided new insights into some cancers, stimulating the study of underlying biologic mechanisms and the development of targeted treatments. But even when whole-genome sequencing reveals that the genetic landscape of a cancer consists largely of known recurrent mutations, the power of data sets from multiple complementary molecular platforms — exome, transcriptome, and microRNA sequencing alongside DNA methylation, DNA copy number, and protein arrays — to reveal how the disease might be classified or stratified at the molecular level presents an opportunity to reappraise clinical strategies...
New England Journal of Medicine , éditorial en libre accès, 2014