Integrative discovery of treatments for high-risk neuroblastoma

We lack effective treatment for half of children with high-risk neuroblastoma. Here, the authors introduce an algorithm that can predict the effect of interventions on gene expression signatures associated with high disease processes and risk, and identify and validate promising drug targets.

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Autores principales: 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, Sven Nelander
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/9eefbf3ff5bb4e6b9e9c8aacbd9a935c
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spelling oai:doaj.org-article:9eefbf3ff5bb4e6b9e9c8aacbd9a935c2021-12-02T14:40:42ZIntegrative discovery of treatments for high-risk neuroblastoma10.1038/s41467-019-13817-82041-1723https://doaj.org/article/9eefbf3ff5bb4e6b9e9c8aacbd9a935c2020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13817-8https://doaj.org/toc/2041-1723We lack effective treatment for half of children with high-risk neuroblastoma. Here, the authors introduce an algorithm that can predict the effect of interventions on gene expression signatures associated with high disease processes and risk, and identify and validate promising drug targets.Elin AlmstedtRamy ElgendyNeda HekmatiEmil RosénCaroline WärnThale Kristin OlsenCecilia DybergMilena DoroszkoIda LarssonAnders SundströmMarie Arsenian HenrikssonSven PåhlmanDaniel BexellMichael VanlandewijckPer KognerRebecka JörnstenCecilia KronaSven NelanderNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
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
Sven Nelander
Integrative discovery of treatments for high-risk neuroblastoma
description We lack effective treatment for half of children with high-risk neuroblastoma. Here, the authors introduce an algorithm that can predict the effect of interventions on gene expression signatures associated with high disease processes and risk, and identify and validate promising drug targets.
format article
author 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
Sven Nelander
author_facet 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
Sven Nelander
author_sort Elin Almstedt
title Integrative discovery of treatments for high-risk neuroblastoma
title_short Integrative discovery of treatments for high-risk neuroblastoma
title_full Integrative discovery of treatments for high-risk neuroblastoma
title_fullStr Integrative discovery of treatments for high-risk neuroblastoma
title_full_unstemmed Integrative discovery of treatments for high-risk neuroblastoma
title_sort integrative discovery of treatments for high-risk neuroblastoma
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/9eefbf3ff5bb4e6b9e9c8aacbd9a935c
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