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.

Saved in:
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:EN
Published: Nature Portfolio 2020
Subjects:
Q
Online Access:https://doaj.org/article/9eefbf3ff5bb4e6b9e9c8aacbd9a935c
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.