ERBB3 is a marker of a ganglioneuroblastoma/ganglioneuroma-like expression profile in neuroblastic tumours
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  • 作者:Annica Wilzén (1)
    Cecilia Krona (2)
    Baldur Sveinbj?rnsson (2) (3)
    Erik Kristiansson (4)
    Daniel Dalevi (4)
    Ingrid ?ra (5)
    Katleen De Preter (6)
    Raymond L Stallings (7)
    John Maris (8)
    Rogier Versteeg (9)
    Staffan Nilsson (4)
    Per Kogner (2)
    Frida Abel (1)
  • 关键词:Microarray ; Expression ; Cancer ; Systems biology ; Oncology ; Network ; Reverse engineering ; Unsupervised ; Clustering ; Cell cycle ; Spindle assembly ; Her ; 3 ; HER3 ; ERBB3 ; Her ; 2 ; HER2 ; ERBB2 ; EGFR ; ERBB1 ; BIRC5 ; Survivin ; MYCN ; N ; myc ; ALK ; PHOX2B ; NTRK1 ; CCND1
  • 刊名:Molecular Cancer
  • 出版年:2013
  • 出版时间:December 2013
  • 年:2013
  • 卷:12
  • 期:1
  • 全文大小:1413KB
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  • 作者单位:Annica Wilzén (1)
    Cecilia Krona (2)
    Baldur Sveinbj?rnsson (2) (3)
    Erik Kristiansson (4)
    Daniel Dalevi (4)
    Ingrid ?ra (5)
    Katleen De Preter (6)
    Raymond L Stallings (7)
    John Maris (8)
    Rogier Versteeg (9)
    Staffan Nilsson (4)
    Per Kogner (2)
    Frida Abel (1)

    1. Department of Clinical Genetics, Institution of Biomedicine, Gothenburg University, Box 413, S- 405 30, Gothenburg, Sweden
    2. Childhood Cancer Research Unit, Karolinska Institute, Astrid Lindgren Children’s Hospital, Q6:05, S-171 76, Stockholm, Sweden
    3. Department of Medical Biology, University of Troms?, Troms?, Norway
    4. Department of Mathematical Statistics, Chalmers University of Technology, Gothenburg, Sweden
    5. Department of Pediatric Oncology, Clinical Sciences, Lund University, Lund, Sweden
    6. Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
    7. Department of Cancer Genetics, Royal College of Surgeons in Ireland and Children’s Research Centre, Our Lady’s Children’s Hospital, Dublin, Ireland
    8. Children’s Hospital of Philadelphia, Division of Oncology, The University of Pennsylvania, Philadelphia, PA, USA
    9. Department of Oncogenomics, Academic Medical Center, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands
  • ISSN:1476-4598
文摘
Background Neuroblastoma (NB) tumours are commonly divided into three cytogenetic subgroups. However, by unsupervised principal components analysis of gene expression profiles we recently identified four distinct subgroups, r1-r4. In the current study we characterized these different subgroups in more detail, with a specific focus on the fourth divergent tumour subgroup (r4). Methods Expression microarray data from four international studies corresponding to 148 neuroblastic tumour cases were subject to division into four expression subgroups using a previously described 6-gene signature. Differentially expressed genes between groups were identified using Significance Analysis of Microarray (SAM). Next, gene expression network modelling was performed to map signalling pathways and cellular processes representing each subgroup. Findings were validated at the protein level by immunohistochemistry and immunoblot analyses. Results We identified several significantly up-regulated genes in the r4 subgroup of which the tyrosine kinase receptor ERBB3 was most prominent (fold change: 132-40). By gene set enrichment analysis (GSEA) the constructed gene network of ERBB3 (n = 38 network partners) was significantly enriched in the r4 subgroup in all four independent data sets. ERBB3 was also positively correlated to the ErbB family members EGFR and ERBB2 in all data sets, and a concurrent overexpression was seen in the r4 subgroup. Further studies of histopathology categories using a fifth data set of 110 neuroblastic tumours, showed a striking similarity between the expression profile of r4 to ganglioneuroblastoma (GNB) and ganglioneuroma (GN) tumours. In contrast, the NB histopathological subtype was dominated by mitotic regulating genes, characterizing unfavourable NB subgroups in particular. The high ErbB3 expression in GN tumour types was verified at the protein level, and showed mainly expression in the mature ganglion cells. Conclusions Conclusively, this study demonstrates the importance of performing unsupervised clustering and subtype discovery of data sets prior to analyses to avoid a mixture of tumour subtypes, which may otherwise give distorted results and lead to incorrect conclusions. The current study identifies ERBB3 as a clear-cut marker of a GNB/GN-like expression profile, and we suggest a 7-gene expression signature (including ERBB3) as a complement to histopathology analysis of neuroblastic tumours. Further studies of ErbB3 and other ErbB family members and their role in neuroblastic differentiation and pathogenesis are warranted.

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