Literature DB >> 11197775

Genome-wide profiling of gene amplification and deletion in cancer.

H Kashiwagi1, K Uchida.   

Abstract

Accumulations of genetic changes in somatic cells induce phenotypic transformations leading to cancer. Among these genetic changes, gene amplification and deletion are most frequently observed in several kinds of cancers. Amplification of oncogene and/or deletion of tumor suppressor gene, together with dysfunction of the gene by point mutation, are the main causes of cancer. Genome-wide analysis of amplification and deletion of genes in cancers is basic to resolving the mechanisms of carcinogenesis. Comparative genomic hybridization (CGH) developed in 1992 has been utilized to identify DNA copy number abnormalities in various kind of cancers and several reports have shown its usefulness in screening of the genes involved in carcinogenesis, and also in the identification of prognostic factors in cancer. We have shown that 1q23 gain is associated with neuroblastomas that are resistant to aggressive treatment, and have poor prognosis, and 1q and 13q gains are possibly related to drug resistance in ovarian cancers. Recently, the "rough draft" of the human genome was reported and we are ready to utilize the vast information on genomic sequences in cancer research. Moreover, microarray technology enables us to analyze more than ten thousand genes at a time and revealed genetic abnormalities in cancers at a genome-wide level. By combination of microarray and CGH, a powerful screening method for oncogenes and tumor suppressor genes in cancers, called array-CGH, has been developed by several groups. In this article, we overview these genome-wide analytical methods, CGH and array-CGH, and discuss their potential in molecular characterization of cancers.

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Year:  2000        PMID: 11197775

Source DB:  PubMed          Journal:  Hum Cell        ISSN: 0914-7470            Impact factor:   4.174


  8 in total

1.  ExpressYourself: A modular platform for processing and visualizing microarray data.

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Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Detection of DNA copy number abnormality by microarray expression analysis.

Authors:  Xiaofeng Zhou; Steven W Cole; Shen Hu; David T W Wong
Journal:  Hum Genet       Date:  2004-02-11       Impact factor: 4.132

3.  Microarray karyotyping of commercial wine yeast strains reveals shared, as well as unique, genomic signatures.

Authors:  Barbara Dunn; R Paul Levine; Gavin Sherlock
Journal:  BMC Genomics       Date:  2005-04-16       Impact factor: 3.969

4.  KCNJ3 is a new independent prognostic marker for estrogen receptor positive breast cancer patients.

Authors:  Sarah Kammerer; Armin Sokolowski; Hubert Hackl; Dieter Platzer; Stephan Wenzel Jahn; Amin El-Heliebi; Daniela Schwarzenbacher; Verena Stiegelbauer; Martin Pichler; Simin Rezania; Heidelinde Fiegl; Florentia Peintinger; Peter Regitnig; Gerald Hoefler; Wolfgang Schreibmayer; Thomas Bauernhofer
Journal:  Oncotarget       Date:  2016-12-20

5.  Circulating Tumor Cell-Free DNA Genes as Prognostic Gene Signature for Platinum Resistant Ovarian Cancer Diagnosis.

Authors:  Camille C Gunderson; Rangasudhagar Radhakrishnan; Rohini Gomathinayagam; Sanam Husain; Sheeja Aravindan; Kathleen M Moore; Danny N Dhanasekaran; Muralidharan Jayaraman
Journal:  Biomark Insights       Date:  2022-03-28

6.  Determining the effectiveness of High Resolution Melting analysis for SNP genotyping and mutation scanning at the TP53 locus.

Authors:  Sonia Garritano; Federica Gemignani; Catherine Voegele; Tú Nguyen-Dumont; Florence Le Calvez-Kelm; Deepika De Silva; Fabienne Lesueur; Stefano Landi; Sean V Tavtigian
Journal:  BMC Genet       Date:  2009-02-17       Impact factor: 2.797

Review 7.  Genetic alteration and gene expression modulation during cancer progression.

Authors:  Cathie Garnis; Timon P H Buys; Wan L Lam
Journal:  Mol Cancer       Date:  2004-03-22       Impact factor: 27.401

8.  Aberrant Expression of Breast Development-Related MicroRNAs, miR-22, miR-132, and miR-212, in Breast Tumor Tissues.

Authors:  Zahra Damavandi; Safoora Torkashvand; Mohammad Vasei; Bahram M Soltani; Mahmood Tavallaei; Seyed Javad Mowla
Journal:  J Breast Cancer       Date:  2016-06-24       Impact factor: 3.588

  8 in total

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