Literature DB >> 12490759

DNA microarray and cancer.

Qingbin M Guo1.   

Abstract

Since the discovery of the first oncogene 26 years ago, a large body of research has convincingly demonstrated that the initiation and progression of cancers involve the accumulation of genetic aberrations in the cell. Many techniques have been developed to identify these genetic abnormalities. The recent completion of human genome sequencing and advances in DNA microarray technology allow rapid genetic analysis to take place on a genome-wide scale and have revolutionized the way cancers are studied. This ground-breaking approach of studying cancer promises to provide a better understanding of the underlying mechanism for tumorigenesis, more accurate diagnosis, more comprehensive prognosis, and more effective therapeutic interventions.

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Year:  2003        PMID: 12490759     DOI: 10.1097/00001622-200301000-00005

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  14 in total

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2.  Toward genomic cell culture engineering.

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3.  Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma.

Authors:  Barbara Seliger; Sven P Dressler; Ena Wang; Roland Kellner; Christian V Recktenwald; Friedrich Lottspeich; Francesco M Marincola; Maja Baumgärtner; Derek Atkins; Rudolf Lichtenfels
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

4.  Activation of IFN pathways and plasmacytoid dendritic cell recruitment in target organs of primary Sjögren's syndrome.

Authors:  Jacques-Eric Gottenberg; Nicolas Cagnard; Carlo Lucchesi; Franck Letourneur; Sylvie Mistou; Thierry Lazure; Sebastien Jacques; Nathalie Ba; Marc Ittah; Christine Lepajolec; Marc Labetoulle; Marc Ardizzone; Jean Sibilia; Catherine Fournier; Gilles Chiocchia; Xavier Mariette
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-13       Impact factor: 11.205

5.  Expression of lipoprotein lipase associated with lung adenocarcinoma tissues.

Authors:  Jizhong Lu; Jixi Li; Chaoneng Ji; Weiyong Yu; Zhiyun Xu; Shengdong Huang
Journal:  Mol Biol Rep       Date:  2007-03-09       Impact factor: 2.316

6.  Expression analysis of mitotic spindle checkpoint genes in breast carcinoma: role of NDC80/HEC1 in early breast tumorigenicity, and a two-gene signature for aneuploidy.

Authors:  Ivan Bièche; Sophie Vacher; François Lallemand; Sengül Tozlu-Kara; Hind Bennani; Michèle Beuzelin; Keltouma Driouch; Etienne Rouleau; Florence Lerebours; Hugues Ripoche; Géraldine Cizeron-Clairac; Frédérique Spyratos; Rosette Lidereau
Journal:  Mol Cancer       Date:  2011-02-27       Impact factor: 27.401

7.  Identification of a three-gene expression signature of poor-prognosis breast carcinoma.

Authors:  Ivan Bièche; Sengül Tozlu; Igor Girault; Rosette Lidereau
Journal:  Mol Cancer       Date:  2004-12-20       Impact factor: 27.401

8.  Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles.

Authors:  Liying Yang; Zhimin Liu; Xiguo Yuan; Jianhua Wei; Junying Zhang
Journal:  Biomed Res Int       Date:  2016-11-24       Impact factor: 3.411

9.  Meta-analysis of mRNA expression profiles to identify differentially expressed genes in lung adenocarcinoma tissue from smokers and non-smokers.

Authors:  Xiaona He; Cheng Zhang; Chao Shi; Quqin Lu
Journal:  Oncol Rep       Date:  2018-01-08       Impact factor: 3.906

10.  Application of a new probabilistic model for mining implicit associated cancer genes from OMIM and medline.

Authors:  Shanfeng Zhu; Yasushi Okuno; Gozoh Tsujimoto; Hiroshi Mamitsuka
Journal:  Cancer Inform       Date:  2007-02-25
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