Integrative discovery of treatments for high-risk neuroblastoma

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9eefbf3ff5bb4e6b9e9c8aacbd9a935c

Integrative discovery of treatments for high-risk neuroblastoma

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Övriga starka forskningsmiljöer , Faculty of Medicine , Medicinska fakulteten , Other Strong Research Environments , LUCC: Lund University Cancer Centre , Department of Laboratory Medicine , Division of Translational Cancer Research , Molecular Pediatric Oncology , Lunds universitet , Molekylär barnonkologi , Profilområden och andra starka forskningsmiljöer , Lund University , Avdelningen för translationell cancerforskning , Institutionen för laboratoriemedicin , Profile areas and other strong research environments , LUCC: Lunds universitets cancercentrum , Almstedt, Elin , Elgendy, Ramy , Hekmati, Neda , Rosén, Emil , Wärn, Caroline , Olsen, Thale Kristin , Dyberg, Cecilia , Doroszko, Milena , Larsson, Ida , Sundström, Anders , Arsenian Henriksson, Marie , Påhlman, Sven , Bexell, Daniel , Vanlandewijck, Michael , Kogner, Per , Jörnsten, Rebecka , Krona, Cecilia and Nelander, Sven

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London: Nature Publishing Group UK

Journal title

Nature communications, 2020-01, Vol.11 (1), p.71-15, Article 71

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English

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London: Nature Publishing Group UK

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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, Tar...