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Individual patient risk stratification of high-risk neuroblastomas using a two-gene score suited for clinical use

  • Kristoffer von Stedingk
  • , Katleen de Preter
  • , Jo Vandesompele
  • , Rosa Noguera
  • , Ingrid Øra
  • , Jan Koster
  • , Rogier Versteeg
  • , Sven Påhlman
  • , David Lindgren
  • , Håkan Axelson

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Several gene expression-based prognostic signatures have been described in neuroblastoma, but none have successfully been applied in the clinic. Here we have developed a clinically applicable prognostic gene signature, both with regards to number of genes and analysis platform. Importantly, it does not require comparison between patients and is applicable amongst high-risk patients. The signature is based on a two-gene score (R-score) with prognostic power in high-stage tumours (stage 4 and/or MYCN-amplified diagnosed after 18 months of age). QPCR-based and array-based analyses of matched cDNAs confirmed cross platform (array-qPCR) transferability. We also defined a fixed cut-off value identifying prognostically differing subsets of high-risk patients on an individual patient basis. This gene expression signature independently contributes to the current neuroblastoma classification system, and if prospectively validated could provide further stratification of high-risk patients, and potential upfront identification of a group of patients that are in need of new/additional treatment regimens
Original languageEnglish
Pages (from-to)868-877
JournalInternational journal of cancer. Journal international du cancer
Volume137
Issue number4
DOIs
Publication statusPublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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