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.

Bibliographic Details
Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-01-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-13817-8

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spelling	doaj-9eefbf3ff5bb4e6b9e9c8aacbd9a935c2021-05-11T09:04:48ZengNature Publishing GroupNature Communications2041-17232020-01-0111111510.1038/s41467-019-13817-8Integrative discovery of treatments for high-risk neuroblastomaElin Almstedt0Ramy Elgendy1Neda Hekmati2Emil Rosén3Caroline Wärn4Thale Kristin Olsen5Cecilia Dyberg6Milena Doroszko7Ida Larsson8Anders Sundström9Marie Arsenian Henriksson10Sven Påhlman11Daniel Bexell12Michael Vanlandewijck13Per Kogner14Rebecka Jörnsten15Cecilia Krona16Sven Nelander17Department of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityChildhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska InstitutetChildhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska InstitutetDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Microbiology, Tumor and Cell Biology, Karolinska InstitutetDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund UniversityDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityChildhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska InstitutetMathematical Sciences, Chalmers University of TechnologyDepartment of Immunology, Genetics and Pathology, Uppsala UniversityDepartment of Immunology, Genetics and Pathology, Uppsala UniversityWe 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.https://doi.org/10.1038/s41467-019-13817-8
collection	DOAJ
language	English
format	Article
sources	DOAJ
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
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-01-01
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.
url	https://doi.org/10.1038/s41467-019-13817-8
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Integrative discovery of treatments for high-risk neuroblastoma

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