Literature DB >> 11489789

Cancer genomics: promises and complexities.

W Zhang1, P M Labordé, K R Coombes, D A Berry, S R Hamilton.   

Abstract

The impending final deciphering of the complete human genome, coupled with the advancement of high-throughput technologies, is positioned to bring about a fundamental transformation in cancer research. The era of molecular biology is transforming into the era of genomic biology, with an unprecedented promise of understanding multifactorial diseases and of identifying specific targets that can be used to develop patient-tailored therapies. Although the genomic approach is in an early phase of its development and its tools need to be honed, the application of genomic technologies to cancer research has already generated exciting results both in target identification and in disease classification. In this article, we review some of the developments pertinent to cancer research, discuss potentially problematic areas associated with them, and comment on future trends and issues.

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Year:  2001        PMID: 11489789

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  6 in total

1.  Epstein-Barr virus-transformation of B-cell lines in ovarian cancer patients: feasibility of genomic storage for unlimited use.

Authors:  Sun-Young Kong; Sokbom Kang
Journal:  J Gynecol Oncol       Date:  2009-12-28       Impact factor: 4.401

2.  Predictors of primary breast cancers responsiveness to preoperative epirubicin/cyclophosphamide-based chemotherapy: translation of microarray data into clinically useful predictive signatures.

Authors:  Olga Modlich; Hans-Bernd Prisack; Marc Munnes; Werner Audretsch; Hans Bojar
Journal:  J Transl Med       Date:  2005-08-09       Impact factor: 5.531

3.  A Multi-Omics Network of a Seven-Gene Prognostic Signature for Non-Small Cell Lung Cancer.

Authors:  Qing Ye; Brianne Falatovich; Salvi Singh; Alexey V Ivanov; Timothy D Eubank; Nancy Lan Guo
Journal:  Int J Mol Sci       Date:  2021-12-25       Impact factor: 5.923

4.  Identification of ovarian cancer associated genes using an integrated approach in a Boolean framework.

Authors:  Gaurav Kumar; Edmond J Breen; Shoba Ranganathan
Journal:  BMC Syst Biol       Date:  2013-02-06

5.  Evaluation of five different cDNA labeling methods for microarrays using spike controls.

Authors:  Azadeh Badiee; Hans Geir Eiken; Vidar M Steen; Roger Løvlie
Journal:  BMC Biotechnol       Date:  2003-12-11       Impact factor: 2.563

6.  Profound influence of microarray scanner characteristics on gene expression ratios: analysis and procedure for correction.

Authors:  Heidi Lyng; Azadeh Badiee; Debbie H Svendsrud; Eivind Hovig; Ola Myklebost; Trond Stokke
Journal:  BMC Genomics       Date:  2004-02-03       Impact factor: 3.969

  6 in total

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