Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm.

Journal: BMC medical genomics
PMID: 26358114

Abstract

BACKGROUND: Metastatic neuroblastoma (NB) occurs in pediatric patients as stage 4S or stage 4 and it is characterized by heterogeneous clinical behavior associated with diverse genotypes. Tumors of stage 4 contain several structural copy number aberrations (CNAs) rarely found in stage 4S. To date, the NB tumorigenesis is not still elucidated, although it is evident that genomic instability plays a critical role in the genesis of the tumor. Here we propose a mathematical approach to decipher genomic data and we provide a new model of NB metastatic tumorigenesis.

Authors

  • Salvatore Masecchia
    DIBRIS, Università degli Studi di Genova, Genova, Italy. salvatore.masecchia@disi.unige.it.
  • Simona Coco
    Lung Cancer Unit; IRCCS A.O.U. San Martino - IST, Genova, Italy. simona.coco@hsanmartino.it.
  • Annalisa Barla
    DIBRIS, Università degli Studi di Genova, Genova, Italy. annalisa.barla@unige.it.
  • Alessandro Verri
    DIBRIS, Università degli Studi di Genova, Genova, Italy. verri@disi.unige.it.
  • Gian Paolo Tonini
    Neuroblastoma Laboratory, Onco/Hematology Laboratory, Department of Woman and Child Health, University of Padua, Pediatric Research Institute, Fondazione Città della Speranza, Padua, Corso Stati Uniti, 4, 35127, Padua, Italy. gp.tonini@irpcds.org.

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