Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma

Neuroblastoma is a pediatric cancer of the developing sympathetic nervous system. High-risk neuroblastoma patients typically undergo an initial remission in response to treatment, followed by recurrence of aggressive tumors that have become refractory to further treatment. The need for biomarkers th...

Full description

Bibliographic Details
Main Authors: Peter Utnes, Cecilie Løkke, Trond Flægstad, Christer Einvik
Format: Article
Language:English
Published: SAGE Publishing 2019-03-01
Series:Cancer Informatics
Online Access:https://doi.org/10.1177/1176935119832910
id doaj-c0216ef056ac4d568a706553ce17a713
record_format Article
spelling doaj-c0216ef056ac4d568a706553ce17a7132020-11-25T03:16:31ZengSAGE PublishingCancer Informatics1176-93512019-03-011810.1177/1176935119832910Clinically Relevant Biomarker Discovery in High-Risk Recurrent NeuroblastomaPeter Utnes0Cecilie Løkke1Trond Flægstad2Christer Einvik3Department of Pediatrics, Division of Child and Adolescent Health, UNN – University Hospital of North-Norway, Tromsø, NorwayPediatric Research Group, Department of Clinical Medicine, Faculty of Health Science, The Arctic University of Norway – UiT, Tromsø, NorwayPediatric Research Group, Department of Clinical Medicine, Faculty of Health Science, The Arctic University of Norway – UiT, Tromsø, NorwayPediatric Research Group, Department of Clinical Medicine, Faculty of Health Science, The Arctic University of Norway – UiT, Tromsø, NorwayNeuroblastoma is a pediatric cancer of the developing sympathetic nervous system. High-risk neuroblastoma patients typically undergo an initial remission in response to treatment, followed by recurrence of aggressive tumors that have become refractory to further treatment. The need for biomarkers that can select patients not responding well to therapy in an early phase is therefore needed. In this study, we used next generation sequencing technology to determine the expression profiles in high-risk neuroblastoma cell lines established before and after therapy. Using partial least squares-discriminant analysis (PLS-DA) with least absolute shrinkage and selection operator (LASSO) and leave-one-out cross-validation, we identified a panel of 55 messenger RNAs and 17 long non-coding RNAs (lncRNAs) which were significantly altered in the expression between cell lines isolated from primary and recurrent tumors. From a neuroblastoma patient cohort, we found 20 of the 55 protein-coding genes to be differentially expressed in patients with unfavorable compared with favorable outcome. We further found a twofold increase or decrease in hazard ratios in these genes when comparing patients with unfavorable and favorable outcome. Gene set enrichment analysis (GSEA) revealed that these genes were involved in proliferation, differentiation and regulated by Polycomb group (PcG) proteins. Of the 17 lncRNAs, 3 upregulated ( NEAT1, SH3BP5-AS1, NORAD ) and 3 downregulated lncRNAs ( DUBR, MEG3, DHRS4-AS1 ) were also found to be differentially expressed in favorable compared with unfavorable outcome. Moreover, using expression profiles on both miRNAs and mRNAs in the same cohort of cell lines, we found 13 downregulated and 18 upregulated experimentally observed miRNA target genes targeted by miR-21, -424 and -30e, -29b, -138, -494 , - 181a, -34a, -29b , respectively. The advantage of analyzing biomarkers in a clinically relevant neuroblastoma model system enables further studies on the effect of individual genes upon gene perturbation. In summary, this study identified several genes, which may aid in the prediction of response to therapy and tumor recurrence.https://doi.org/10.1177/1176935119832910
collection DOAJ
language English
format Article
sources DOAJ
author Peter Utnes
Cecilie Løkke
Trond Flægstad
Christer Einvik
spellingShingle Peter Utnes
Cecilie Løkke
Trond Flægstad
Christer Einvik
Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma
Cancer Informatics
author_facet Peter Utnes
Cecilie Løkke
Trond Flægstad
Christer Einvik
author_sort Peter Utnes
title Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma
title_short Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma
title_full Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma
title_fullStr Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma
title_full_unstemmed Clinically Relevant Biomarker Discovery in High-Risk Recurrent Neuroblastoma
title_sort clinically relevant biomarker discovery in high-risk recurrent neuroblastoma
publisher SAGE Publishing
series Cancer Informatics
issn 1176-9351
publishDate 2019-03-01
description Neuroblastoma is a pediatric cancer of the developing sympathetic nervous system. High-risk neuroblastoma patients typically undergo an initial remission in response to treatment, followed by recurrence of aggressive tumors that have become refractory to further treatment. The need for biomarkers that can select patients not responding well to therapy in an early phase is therefore needed. In this study, we used next generation sequencing technology to determine the expression profiles in high-risk neuroblastoma cell lines established before and after therapy. Using partial least squares-discriminant analysis (PLS-DA) with least absolute shrinkage and selection operator (LASSO) and leave-one-out cross-validation, we identified a panel of 55 messenger RNAs and 17 long non-coding RNAs (lncRNAs) which were significantly altered in the expression between cell lines isolated from primary and recurrent tumors. From a neuroblastoma patient cohort, we found 20 of the 55 protein-coding genes to be differentially expressed in patients with unfavorable compared with favorable outcome. We further found a twofold increase or decrease in hazard ratios in these genes when comparing patients with unfavorable and favorable outcome. Gene set enrichment analysis (GSEA) revealed that these genes were involved in proliferation, differentiation and regulated by Polycomb group (PcG) proteins. Of the 17 lncRNAs, 3 upregulated ( NEAT1, SH3BP5-AS1, NORAD ) and 3 downregulated lncRNAs ( DUBR, MEG3, DHRS4-AS1 ) were also found to be differentially expressed in favorable compared with unfavorable outcome. Moreover, using expression profiles on both miRNAs and mRNAs in the same cohort of cell lines, we found 13 downregulated and 18 upregulated experimentally observed miRNA target genes targeted by miR-21, -424 and -30e, -29b, -138, -494 , - 181a, -34a, -29b , respectively. The advantage of analyzing biomarkers in a clinically relevant neuroblastoma model system enables further studies on the effect of individual genes upon gene perturbation. In summary, this study identified several genes, which may aid in the prediction of response to therapy and tumor recurrence.
url https://doi.org/10.1177/1176935119832910
work_keys_str_mv AT peterutnes clinicallyrelevantbiomarkerdiscoveryinhighriskrecurrentneuroblastoma
AT cecilieløkke clinicallyrelevantbiomarkerdiscoveryinhighriskrecurrentneuroblastoma
AT trondflægstad clinicallyrelevantbiomarkerdiscoveryinhighriskrecurrentneuroblastoma
AT christereinvik clinicallyrelevantbiomarkerdiscoveryinhighriskrecurrentneuroblastoma
_version_ 1724635732332511232