Literature DB >> 17701415

Heterogeneous subgroups in human neuroblastoma for clinically relevant risk stratification.

Eiso Hiyama1, Hiroaki Yamaoka, Satoshi Kondo, Akihiro Yoneda, Tatsuro Tajiri, Masahiro Fukuzawa, Masahiko Sugiyama, Yutaka Hayashi, Fumiaki Sasaki, Megu Ohtaki.   

Abstract

Neuroblastoma is a heterogeneous tumor and that may have a favorable or unfavorable prognosis. In Japan, a nation-wide neuroblastoma mass-screening (MS) project assessed 6-month-old infants between 1985 and 2003, and almost all neuroblastomas, including regressing or maturing tumors were thought to be detected in this period. To evaluate the heterogeneity of neuroblastoma subgroups, we analyzed patients with neuroblastoma who had been diagnosed during this period. The clinical courses of 4,209 patients with neuroblastoma, including 1,560 MS detected patients, whose tumors had been diagnosed between 1971 and 1995 were registered. The 2,520 cases registered between 1985 and 1995 were compared to 1,050 cases registered between 1971 and 1980 and analyzed by a multi-gene target model to determine the age distribution of neuroblastoma incidence. We hypothesized that three target genes were responsible for the progression of neuroblastoma: one pair of tumor suppressor gene alleles, one oncogene, and one gene controlling regression/differentiation. This simulation study revealed that the age distribution at initial diagnosis of neuroblastoma was divided into four groups based on post-fertilization age: 20-40, 40-50, 60-90, and 160-200 weeks. Since neuroblatoma in the first group occurred prenatal, post-natal clinical neuroblastoma can be classified into three age groups: 0-6 months, 1-2 years, and 3-4 years. The 0- to 6-month group consisted of mostly benign tumors, and the two older groups had predominantly malignant phenotypes. Our proposed model could explain qualitatively the distribution of neuroblastoma consisting of one subgroup with a favorable prognosis and two subgroups with unfavorable prognosis. For clinically relevant risk stratification, an age cutoff should be considered by the age distribution of these heterogeneous subgroups.

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Year:  2007        PMID: 17701415     DOI: 10.1007/s00383-007-1998-3

Source DB:  PubMed          Journal:  Pediatr Surg Int        ISSN: 0179-0358            Impact factor:   1.827


  26 in total

1.  Age at diagnosis and prognosis in children with neuroblastoma.

Authors:  Audrey E Evans; Giulio J D'Angio
Journal:  J Clin Oncol       Date:  2005-08-22       Impact factor: 44.544

2.  N-myc gene amplification and other prognosis-associated factors in neuroblastoma.

Authors:  E Hiyama; T Yokoyama; T Ichikawa; T Ishii; K Hiyama
Journal:  J Pediatr Surg       Date:  1990-10       Impact factor: 2.545

3.  Histopathology (International Neuroblastoma Pathology Classification) and MYCN status in patients with peripheral neuroblastic tumors: a report from the Children's Cancer Group.

Authors:  S Goto; S Umehara; R B Gerbing; D O Stram; G M Brodeur; R C Seeger; J N Lukens; K K Matthay; H Shimada
Journal:  Cancer       Date:  2001-11-15       Impact factor: 6.860

4.  International neuroblastoma pathology classification for prognostic evaluation of patients with peripheral neuroblastic tumors: a report from the Children's Cancer Group.

Authors:  H Shimada; S Umehara; Y Monobe; Y Hachitanda; A Nakagawa; S Goto; R B Gerbing; D O Stram; J N Lukens; K K Matthay
Journal:  Cancer       Date:  2001-11-01       Impact factor: 6.860

Review 5.  Mechanism and relevance of ploidy in neuroblastoma.

Authors:  Y Kaneko; A G Knudson
Journal:  Genes Chromosomes Cancer       Date:  2000-10       Impact factor: 5.006

Review 6.  The role of age in neuroblastoma risk stratification: the German, Italian, and children's oncology group perspectives.

Authors:  Wendy B London; Luca Boni; Thorsten Simon; Frank Berthold; Clare Twist; Mary Lou Schmidt; Robert P Castleberry; Katherine K Matthay; Susan L Cohn; Bruno De Bernardi
Journal:  Cancer Lett       Date:  2005-10-18       Impact factor: 8.679

7.  Amplification of N-myc in untreated human neuroblastomas correlates with advanced disease stage.

Authors:  G M Brodeur; R C Seeger; M Schwab; H E Varmus; J M Bishop
Journal:  Science       Date:  1984-06-08       Impact factor: 47.728

8.  Correlating telomerase activity levels with human neuroblastoma outcomes.

Authors:  E Hiyama; K Hiyama; T Yokoyama; Y Matsuura; M A Piatyszek; J W Shay
Journal:  Nat Med       Date:  1995-03       Impact factor: 53.440

Review 9.  Neuroblastoma: biology and molecular and chromosomal pathology.

Authors:  Manfred Schwab; Frank Westermann; Barbara Hero; Frank Berthold
Journal:  Lancet Oncol       Date:  2003-08       Impact factor: 41.316

10.  Length of telomeric repeats in neuroblastoma: correlation with prognosis and other biological characteristics.

Authors:  E Hiyama; K Hiyama; T Yokoyama; T Ichikawa; Y Matsuura
Journal:  Jpn J Cancer Res       Date:  1992-02
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