Literature DB >> 14710948

High-resolution analysis of genetic events in cancer cells using bacterial artificial chromosome arrays and comparative genome hybridization.

John K Cowell1, Norma J Nowak.   

Abstract

Chromosome analysis of cancer cells has been one of the primary means of identifying key genetic events in the development of cancer. The relatively low resolution of metaphase chromosomes, however, only allows characterization of major genetic events that are defined at the megabase level. The development of the human genome-wide bacterial artificial chromosome (BAC) libraries that were used as templates for the human genome project made it possible to design microarrays containing these BACs that can theoretically span the genome uninterrupted. Competitive hybridization to these arrays using tumor and normal DNA samples reveals numerical chromosome abnormalities (deletions and amplifications) that can be accurately defined depending on the density of the arrays. At present, we are using arrays with 6,000 BACs, which provide an average resolution of less than 700 kb. Analysis of tumor DNA samples using these arrays reveals small deletions and amplifications that were not detectable by chromosome analysis and provides a global view of these genetic changes in a single hybridization experiment in 24 hours. The extent of the genetic changes can then be determined precisely and the gene content of the affected regions established. These arrays have widespread application to the analysis of cancer patients and their tumors and can detect constitutional abnormalities as well. The availability of these high-density arrays now provides the opportunity to classify tumors based on their genetic fingerprints, which will assist in staging, diagnosis, and even prediction of response to therapy. Importantly, subtle genetic changes that occur consistently in tumor cell types may eventually be used to stratify patients for clinical trials and to predict their response to custom therapies.

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Year:  2003        PMID: 14710948     DOI: 10.1016/s0065-230x(03)90003-0

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  13 in total

1.  Identification of large-scale human-specific copy number differences by inter-species array comparative genomic hybridization.

Authors:  Violaine Goidts; Lluis Armengol; Werner Schempp; Jeffrey Conroy; Norma Nowak; Stefan Müller; David N Cooper; Xavier Estivill; Wolfgang Enard; Justyna M Szamalek; Horst Hameister; Hildegard Kehrer-Sawatzki
Journal:  Hum Genet       Date:  2006-01-05       Impact factor: 4.132

2.  aCGH local copy number aberrations associated with overall copy number genomic instability in colorectal cancer: coordinate involvement of the regions including BCR and ABL.

Authors:  Jeremy D Bartos; Daniel P Gaile; Devin E McQuaid; Jeffrey M Conroy; Huferesh Darbary; Norma J Nowak; Annemarie Block; Nicholas J Petrelli; Arnold Mittelman; Daniel L Stoler; Garth R Anderson
Journal:  Mutat Res       Date:  2007-01-02       Impact factor: 2.433

3.  Defined genetic events associated with the spontaneous in vitro transformation of ElA/Ras-expressing human IMR90 fibroblasts.

Authors:  Douglas X Mason; Daniel Keppler; Jun Zhang; Tonya J Jackson; Yvette R Seger; Seiichi Matsui; Fleurette Abreo; John K Cowell; Gregory J Hannon; Scott W Lowe; Athena W Lin
Journal:  Carcinogenesis       Date:  2005-11-09       Impact factor: 4.944

4.  Genetic fingerprinting of the development and progression of T-cell lymphoma in a murine model of atypical myeloproliferative disorder initiated by the ZNF198-fibroblast growth factor receptor-1 chimeric tyrosine kinase.

Authors:  Mingqiang Ren; Xiurong Li; John K Cowell
Journal:  Blood       Date:  2009-06-08       Impact factor: 22.113

5.  Ladder-like amplification of the type I interferon gene cluster in the human osteosarcoma cell line MG63.

Authors:  Narasimharao V Marella; Michael J Zeitz; Kishore S Malyavantham; Artem Pliss; Sei-ichi Matsui; Sandra Goetze; Juergen Bode; Ivan Raska; Ronald Berezney
Journal:  Chromosome Res       Date:  2008-11-15       Impact factor: 5.239

6.  Detecting cancer gene networks characterized by recurrent genomic alterations in a population.

Authors:  Sol Efroni; Rotem Ben-Hamo; Michael Edmonson; Sharon Greenblum; Carl F Schaefer; Kenneth H Buetow
Journal:  PLoS One       Date:  2011-01-04       Impact factor: 3.240

7.  Analysis of wilms tumors using SNP mapping array-based comparative genomic hybridization.

Authors:  Lesleyann Hawthorn; John K Cowell
Journal:  PLoS One       Date:  2011-04-22       Impact factor: 3.240

8.  aCGHViewer: a generic visualization tool for aCGH data.

Authors:  Ganesh Shankar; Michael R Rossi; Devin E McQuaid; Jeffrey M Conroy; Daniel G Gaile; John K Cowell; Norma J Nowak; Ping Liang
Journal:  Cancer Inform       Date:  2006

9.  Identification and characterisation of constitutional chromosome abnormalities using arrays of bacterial artificial chromosomes.

Authors:  J K Cowell; Y D Wang; K Head; J Conroy; D McQuaid; N J Nowak
Journal:  Br J Cancer       Date:  2004-02-23       Impact factor: 7.640

10.  Array comparative genomic hybridisation (aCGH) analysis of premenopausal breast cancers from a nuclear fallout area and matched cases from Western New York.

Authors:  G Varma; R Varma; H Huang; A Pryshchepava; J Groth; D Fleming; N J Nowak; D McQuaid; J Conroy; M Mahoney; K Moysich; K L Falkner; J Geradts
Journal:  Br J Cancer       Date:  2005-09-19       Impact factor: 7.640

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