Integrative discovery of treatments for high-risk neuroblastoma

Elin Almstedt, Ramy Elgendy, Neda Hekmati, Emil Rosén, Caroline Wärn, Thale Kristin Olsen, Cecilia Dyberg, Milena Doroszko, Ida Larsson, Anders Sundström, Marie Arsenian Henriksson, Sven Påhlman, Daniel Bexell, Michael Vanlandewijck, Per Kogner, Rebecka Jörnsten, Cecilia Krona and Sven Nelander ()
Additional contact information
Elin Almstedt: Uppsala University
Ramy Elgendy: Uppsala University
Neda Hekmati: Uppsala University
Emil Rosén: Uppsala University
Caroline Wärn: Uppsala University
Thale Kristin Olsen: Karolinska Institutet
Cecilia Dyberg: Karolinska Institutet
Milena Doroszko: Uppsala University
Ida Larsson: Uppsala University
Anders Sundström: Uppsala University
Marie Arsenian Henriksson: Karolinska Institutet
Sven Påhlman: Lund University
Daniel Bexell: Lund University
Michael Vanlandewijck: Uppsala University
Per Kogner: Karolinska Institutet
Rebecka Jörnsten: Chalmers University of Technology
Cecilia Krona: Uppsala University
Sven Nelander: Uppsala University

Nature Communications, 2020, vol. 11, issue 1, 1-15

Abstract: Abstract 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 mRNA signatures associated with high patient risk or disease processes. We find more than 80 targets to be associated with neuroblastoma risk and differentiation signatures. Selected targets are evaluated in cell lines derived from high-risk patients to demonstrate reversal of risk signatures and malignant phenotypes. Using neuroblastoma xenograft models, we establish CNR2 and MAPK8 as promising candidates for the treatment of high-risk neuroblastoma. We expect that our method, available as a public tool (targettranslator.org), will enhance and expedite the discovery of risk-associated targets for paediatric and adult cancers.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-019-13817-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-13817-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-13817-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().