Ontology highlight
ABSTRACT:
SUBMITTER: Almstedt E
PROVIDER: S-EPMC6941971 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Almstedt Elin E Elgendy Ramy R Hekmati Neda N Rosén Emil E Wärn Caroline C Olsen Thale Kristin TK Dyberg Cecilia C Doroszko Milena M Larsson Ida I Sundström Anders A Arsenian Henriksson Marie M Påhlman Sven S Bexell Daniel D Vanlandewijck Michael M Kogner Per P Jörnsten Rebecka R Krona Cecilia C Nelander Sven S
Nature communications 20200103 1
Despite advances in the molecular exploration of paediatric cancers, approximately 50% of children with high-risk neuroblastoma lack effective treatment. To identify therapeutic options for this group of high-risk patients, we combine predictive data mining with experimental evaluation in patient-derived xenograft cells. Our proposed algorithm, TargetTranslator, integrates data from tumour biobanks, pharmacological databases, and cellular networks to predict how targeted interventions affect mRN ...[more]