Literature DB >> 16326095

Transforming science: cancer gene identification.

Lara S Collier1, David A Largaespada.   

Abstract

Methods for cancer gene discovery include identification of viral oncogenes, identification of genes associated with recurrent chromosomal aberrations, and screens for genes capable of the transformation of cells in culture. In recent years, the completed genome sequence of human and model organisms has markedly enhanced cancer gene identification. Whole genome, high-throughput screens have been facilitated by the advent of new technologies such as murine leukemia virus-based mutagenesis, Sleeping Beauty-based mutagenesis, RNA interference, exon re-sequencing, and high-resolution methods for detecting chromosomal amplifications and deletions; these, in turn, have led to the identification of novel tumor suppressors and oncogenes. The identification of genes that are altered by mutation or expression and which are directly involved in tumor initiation and maintenance will be instrumental for understanding cancer phenotypic variation and for identifying crucial therapeutic targets.

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Year:  2005        PMID: 16326095     DOI: 10.1016/j.gde.2005.11.001

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  6 in total

1.  Integrating DNA vectors for gene therapy.

Authors:  Perry B Hackett
Journal:  Mol Ther       Date:  2007-01       Impact factor: 11.454

2.  Novel candidate cancer genes identified by a large-scale cross-species comparative oncogenomics approach.

Authors:  Jenny Mattison; Jaap Kool; Anthony G Uren; Jeroen de Ridder; Lodewyk Wessels; Jos Jonkers; Graham R Bignell; Adam Butler; Alistair G Rust; Markus Brosch; Catherine H Wilson; Louise van der Weyden; David A Largaespada; Michael R Stratton; P Andy Futreal; Maarten van Lohuizen; Anton Berns; Lara S Collier; Tim Hubbard; David J Adams
Journal:  Cancer Res       Date:  2010-01-26       Impact factor: 12.701

3.  S-score: a scoring system for the identification and prioritization of predicted cancer genes.

Authors:  Jorge E S de Souza; André F Fonseca; Renan Valieris; Dirce M Carraro; Jean Y J Wang; Richard D Kolodner; Sandro J de Souza
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

Review 4.  Prognostic Value of Albumin/Globulin Ratio in Survival and Lymph Node Metastasis in Patients with Cancer: A Systematic Review and Meta-analysis.

Authors:  Jieshan Chi; Qizhi Xie; Jingjing Jia; Xiaoma Liu; Jingjing Sun; Junhui Chen; Li Yi
Journal:  J Cancer       Date:  2018-06-12       Impact factor: 4.207

5.  Whole-body sleeping beauty mutagenesis can cause penetrant leukemia/lymphoma and rare high-grade glioma without associated embryonic lethality.

Authors:  Lara S Collier; David J Adams; Christopher S Hackett; Laura E Bendzick; Keiko Akagi; Michael N Davies; Miechaleen D Diers; Fausto J Rodriguez; Aaron M Bender; Christina Tieu; Ilze Matise; Adam J Dupuy; Neal G Copeland; Nancy A Jenkins; J Graeme Hodgson; William A Weiss; Robert B Jenkins; David A Largaespada
Journal:  Cancer Res       Date:  2009-10-20       Impact factor: 12.701

Review 6.  Therapeutic potential of RNA interference against cellular targets of HIV infection.

Authors:  Jia Zhang; Y O Wu; Li Xiao; Kai Li; L L Chen; P Sirois
Journal:  Mol Biotechnol       Date:  2007-09-15       Impact factor: 2.695

  6 in total

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