Literature DB >> 7172163

Statistical analysis of cytogenetic abnormalities in human cancer cells.

G M Brodeur, A A Tsiatis, D L Williams, F W Luthardt, A A Green.   

Abstract

It is sometimes difficult to evaluate reports of "nonrandom" chromosome involvement in certain malignant diseases, since the "random" or expected distribution is seldom defined. Therefore, we have developed methods for the statistical analysis of cytogenetic abnormalities in human cancer cells with modal karyotypes in the diploid range (35-57 chromosomes). For this analysis, it is assumed that the expected gain or loss of each chromosome will occur with equal probability and structural abnormalities will involve each chromosome in proportion to its size. To perform this analysis, the total number of numerical and structural abnormalities is determined from the modal karyotypes of a series of histologically related tumors. The maximum expected values are determined by computer simulation for different levels of significance. Then the distributions of observed and expected abnormalities of each type are compared to identify nonrandom involvement. Preferential gain or loss is analyzed for each of the 24 different chromosomes, and preferential structural rearrangement is determined for each of the 48 chromosome arms. We have analyzed two series of karyotypic data to demonstrate the utility of this method. The rationale for the assumptions made as well as alternative approaches are discussed.

Entities:  

Mesh:

Year:  1982        PMID: 7172163     DOI: 10.1016/0165-4608(82)90010-3

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  11 in total

1.  Lack of homozygously inactivated p73 in single-copy MYCN primary neuroblastomas and neuroblastoma cell lines.

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Journal:  Neoplasia       Date:  1999-04       Impact factor: 5.715

2.  Somatic deletions in hereditary breast cancers implicate 13q21 as a putative novel breast cancer susceptibility locus.

Authors:  T Kainu; S H Juo; R Desper; A A Schaffer; E Gillanders; E Rozenblum; D Freas-Lutz; D Weaver; D Stephan; J Bailey-Wilson; O P Kallioniemi; M Tirkkonen; K Syrjäkoski; T Kuukasjärvi; P Koivisto; R Karhu; K Holli; A Arason; G Johannesdottir; J T Bergthorsson; H Johannsdottir; V Egilsson; R B Barkardottir; O Johannsson; K Haraldsson; T Sandberg; E Holmberg; H Grönberg; H Olsson; A Borg; P Vehmanen; H Eerola; P Heikkila; S Pyrhönen; H Nevanlinna
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-15       Impact factor: 11.205

3.  Loss of heterozygosity for the short arm of chromosome 1 in human neuroblastomas: correlation with N-myc amplification.

Authors:  C T Fong; N C Dracopoli; P S White; P T Merrill; R C Griffith; D E Housman; G M Brodeur
Journal:  Proc Natl Acad Sci U S A       Date:  1989-05       Impact factor: 11.205

4.  The correlation pattern of acquired copy number changes in 164 ETV6/RUNX1-positive childhood acute lymphoblastic leukemias.

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5.  Comparative genomic hybridization analysis of astrocytomas: prognostic and diagnostic implications.

Authors:  Rodney N Wiltshire; James E Herndon; Annie Lloyd; Henry S Friedman; Darell D Bigner; Sandra H Bigner; Roger E McLendon
Journal:  J Mol Diagn       Date:  2004-08       Impact factor: 5.568

Review 6.  Karyotypic progression in human tumors.

Authors:  S R Wolman
Journal:  Cancer Metastasis Rev       Date:  1983       Impact factor: 9.264

7.  Construction of oncogenetic tree models reveals multiple pathways of oral cancer progression.

Authors:  Swapnali Pathare; Alejandro A Schäffer; Niko Beerenwinkel; Manoj Mahimkar
Journal:  Int J Cancer       Date:  2009-06-15       Impact factor: 7.396

8.  Construction and analysis of tree models for chromosomal classification of diffuse large B-cell lymphomas.

Authors:  Hui-Yong Jiang; Zhong-Xi Huang; Xue-Feng Zhang; Richard Desper; Tong Zhao
Journal:  World J Gastroenterol       Date:  2007-03-21       Impact factor: 5.742

9.  Quantifying cancer progression with conjunctive Bayesian networks.

Authors:  Moritz Gerstung; Michael Baudis; Holger Moch; Niko Beerenwinkel
Journal:  Bioinformatics       Date:  2009-08-19       Impact factor: 6.937

10.  Methods and challenges in timing chromosomal abnormalities within cancer samples.

Authors:  Elizabeth Purdom; Christine Ho; Catherine S Grasso; Michael J Quist; Raymond J Cho; Paul Spellman
Journal:  Bioinformatics       Date:  2013-09-23       Impact factor: 6.937

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