Literature DB >> 16814328

Chromosome aberrations in solid tumors have a stochastic nature.

Mauro A A Castro1, Tor G H Onsten, José C F Moreira, Rita M C de Almeida.   

Abstract

An important question nowadays is whether chromosome aberrations are random events or arise from an internal deterministic mechanism, which leads to the delicate task of quantifying the degree of randomness. For this purpose, we have defined several Shannon information functions to evaluate disorder inside a tumor and between tumors of the same kind. We have considered 79 different kinds of solid tumors with 30 or more karyotypes retrieved from the Mitelman Database of Chromosome Aberrations in Cancer. The Kaplan-Meier cumulative survival was also obtained for each solid tumor type in order to correlate data with tumor malignance. The results here show that aberration spread is specific for each tumor type, with high degree of diversity for those tumor types with worst survival indices. Those tumor types with preferential variants (e.g. high proportion of a given karyotype) have shown better survival statistics, indicating that aberration recurrence is a good prognosis. Indeed, global spread of both numerical and structural abnormalities demonstrates the stochastic nature of chromosome aberrations by setting a signature of randomness associated to the production of disorder. These results also indicate that tumor malignancy correlates not only with karyotypic diversity taken from different tumor types but also taken from single tumors. Therefore, by quantifying aberration spread, we could confront diverse models and verify which of them points to the most likely outcome. Our results suggest that the generating process of chromosome aberrations is neither deterministic nor totally random, but produces variations that are distributed between these two boundaries.

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Year:  2006        PMID: 16814328     DOI: 10.1016/j.mrfmmm.2006.04.003

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  5 in total

Review 1.  Chromosomes and cancer cells.

Authors:  Sarah L Thompson; Duane A Compton
Journal:  Chromosome Res       Date:  2011-04       Impact factor: 5.239

2.  CFL1 expression levels as a prognostic and drug resistance marker in nonsmall cell lung cancer.

Authors:  Mauro Antonio Alves Castro; Felipe Dal-Pizzol; Stephanie Zdanov; Marcio Soares; Carolina Beatriz Müller; Fernanda Martins Lopes; Alfeu Zanotto-Filho; Marilda da Cruz Fernandes; Jose Claudio Fonseca Moreira; Emily Shacter; Fábio Klamt
Journal:  Cancer       Date:  2010-08-01       Impact factor: 6.860

3.  Impaired expression of NER gene network in sporadic solid tumors.

Authors:  Mauro A A Castro; José C M Mombach; Rita M C de Almeida; José C F Moreira
Journal:  Nucleic Acids Res       Date:  2007-03-01       Impact factor: 16.971

4.  CORAL: Building up QSAR models for the chromosome aberration test.

Authors:  Andrey A Toropov; Alla P Toropova; Giuseppa Raitano; Emilio Benfenati
Journal:  Saudi J Biol Sci       Date:  2018-05-09       Impact factor: 4.219

5.  Evolutionary origins of human apoptosis and genome-stability gene networks.

Authors:  Mauro A A Castro; Rodrigo J S Dalmolin; José C F Moreira; José C M Mombach; Rita M C de Almeida
Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

  5 in total

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