jeudi 10 octobre 2019

Onco Actu du 10 octobre 2019


1. BIOLOGIE



The human body at cellular resolution: the NIH Human Biomolecular Atlas Program [Nature]











1.1 BIOLOGIE - GÉNOME



How a common cancer mutation actually drives cancer — and how to correct it [Fred Hutch]










The structure of DNA [Nature]











Researchers discover a new cancer-driving mutation in the “dark matter” of the cancer genome [OICR]











1.4 BIOLOGIE - TECHNOS, MODÈLES



Mini organs grown from tumour cells can help us choose the best chemo [New Scientist]











2.11 ETIOLOGIE - ALIMENTATION



Bacon rashers, statistics, and controversy [BMJ]











The Red Meat Controversy: Where's The Beef? [ACSH]











3.1.1 PRÉVENTION - TABAC - E-CIGS



Breaking up with my Juul: why quitting vaping is harder than quitting cigarettes [The Guardian}











3.3 PRÉVENTION - VACCINS



HPV vaccination rate of 70 percent is possible and reasonable [DKFZ]










4.13 DÉP., DIAG. & PRONO. - PEAU, MÉLANOME



Melanoma Variability at the Single-Cell Level Predicts Treatment Responses, Say Moffitt Researchers [Moffitt Cancer Center]











4.2 DÉP., DIAG. & PRONO. - GÉNOME



Virtual Review of Cancer Clinical Trial Treatment Options Quicker Than Conventional Methods [Georgetown University]











4.3 DÉP., DIAG. & PRONO. - INDUSTRIELS



@Illumina and @Qiagen’s IVD deal: what does it mean for NGS? [enseqlopedia]











Illumina and QIAGEN Partner to Deliver Sequencing-Based In-Vitro Diagnostic (IVD) Tests [Illumina]











5.1 TRAITEMENTS - PRÉ-CLINIQUE



“Wild idea” opens possible new frontier for preventing ovarian cancer [Ottawa Hospital]











5.12.11 IMMUNOTHÉRAPIES - PRÉ-CLINIQUE



Study: Innovative Pancreatic Cancer Treatment May Rev Up Immune System [University of Rochester]











5.12.13 IMMUNOTHÉRAPIES - BIOMARQUEURS



Algorithm Personalizes Which Cancer Mutations Are Best Targets for Immunotherapy [Penn Medicine]











5.4 TRAITEMENTS - ECONOMIE



This girl’s dramatic story shows hyper-personalized medicine is possible—and costly [MIT Technology Review]











6.7.1 IA/BIOINFORMATIQUE



Why deep-learning AIs are so easy to fool [Nature]