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Coping with complexity. multivariate analysis of tumor karyotypes.

Höglund, Mattias LU ; Gisselsson Nord, David LU ; Säll, Torbjörn LU and Mitelman, Felix LU (2002) In Cancer Genetics and Cytogenetics1979-01-01+01:002011-01-01+01:00 135(2). p.103-109
Abstract
Human cancers are characterized by chromosomal aberrations, and an increasing number of specific balanced rearrangements have been found among malignant hematologic disorders. Most solid tumors, however, exhibit a much more complex cytogenetic pattern. Although these chromosome changes show a nonrandom distribution, tumor-specific aberrations are uncommon, and the solid tumors often contain a large number of abnormalities and also display extensive cytogenetic variability. The high level of karyotypic complexity has made a systematic characterization of the chromosomal patterns difficult. In order to better understand the biological relevance of highly abnormal karyotypes in tumor cell populations, novel statistical strategies are needed.... (More)
Human cancers are characterized by chromosomal aberrations, and an increasing number of specific balanced rearrangements have been found among malignant hematologic disorders. Most solid tumors, however, exhibit a much more complex cytogenetic pattern. Although these chromosome changes show a nonrandom distribution, tumor-specific aberrations are uncommon, and the solid tumors often contain a large number of abnormalities and also display extensive cytogenetic variability. The high level of karyotypic complexity has made a systematic characterization of the chromosomal patterns difficult. In order to better understand the biological relevance of highly abnormal karyotypes in tumor cell populations, novel statistical strategies are needed. We have developed and adapted several methods that may be useful for the evaluation of general patterns of karyotypic complexity, including distribution analysis of cytogenetic imbalances, temporal analysis for time of occurrence of aberrations, and principal component analysis for reconstructing karyotypic pathways. By applying these methods on the chromosomal changes presently known, distinct subgroups have been identified among breast, kidney, bladder, colon, and brain tumors. (Less)
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Contribution to journal
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published
subject
keywords
Aneuploidy, Chromosomes, Chromosome Aberrations, Human : genetics, Disease Progression, Human, Karyotyping, Monte Carlo Method, Multivariate Analysis, Neoplasms : genetics
in
Cancer Genetics and Cytogenetics1979-01-01+01:002011-01-01+01:00
volume
135
issue
2
pages
103 - 109
publisher
Elsevier
external identifiers
  • wos:000176967700001
  • scopus:0036078663
ISSN
0165-4608
DOI
10.1016/S0165-4608(01)00645-8
language
English
LU publication?
yes
id
30aec674-8536-4e43-aab5-740d9b1e16ae (old id 109486)
alternative location
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=12127394&dopt=Abstract
date added to LUP
2007-07-07 08:14:26
date last changed
2017-12-10 04:37:05
@article{30aec674-8536-4e43-aab5-740d9b1e16ae,
  abstract     = {Human cancers are characterized by chromosomal aberrations, and an increasing number of specific balanced rearrangements have been found among malignant hematologic disorders. Most solid tumors, however, exhibit a much more complex cytogenetic pattern. Although these chromosome changes show a nonrandom distribution, tumor-specific aberrations are uncommon, and the solid tumors often contain a large number of abnormalities and also display extensive cytogenetic variability. The high level of karyotypic complexity has made a systematic characterization of the chromosomal patterns difficult. In order to better understand the biological relevance of highly abnormal karyotypes in tumor cell populations, novel statistical strategies are needed. We have developed and adapted several methods that may be useful for the evaluation of general patterns of karyotypic complexity, including distribution analysis of cytogenetic imbalances, temporal analysis for time of occurrence of aberrations, and principal component analysis for reconstructing karyotypic pathways. By applying these methods on the chromosomal changes presently known, distinct subgroups have been identified among breast, kidney, bladder, colon, and brain tumors.},
  author       = {Höglund, Mattias and Gisselsson Nord, David and Säll, Torbjörn and Mitelman, Felix},
  issn         = {0165-4608},
  keyword      = {Aneuploidy,Chromosomes,Chromosome Aberrations,Human : genetics,Disease Progression,Human,Karyotyping,Monte Carlo Method,Multivariate Analysis,Neoplasms : genetics},
  language     = {eng},
  number       = {2},
  pages        = {103--109},
  publisher    = {Elsevier},
  series       = {Cancer Genetics and Cytogenetics1979-01-01+01:002011-01-01+01:00},
  title        = {Coping with complexity. multivariate analysis of tumor karyotypes.},
  url          = {http://dx.doi.org/10.1016/S0165-4608(01)00645-8},
  volume       = {135},
  year         = {2002},
}