Literature DB >> 12084220

DNA microarrays in prostate cancer.

Shuk-Mei Ho1, Kin-Mang Lau.   

Abstract

DNA microarray technology provides a means to examine large numbers of molecular changes related to a biological process in a high throughput manner. This review discusses plausible utilities of this technology in prostate cancer research, including definition of prostate cancer predisposition, global profiling of gene expression patterns associated with cancer initiation and progression, identification of new diagnostic and prognostic markers, and discovery of novel patient classification schemes. The technology, at present, has only been explored in a limited fashion in prostate cancer research. Some hurdles to be overcome are the high cost of the technology, insufficient sample size and repeated experiments, and the inadequate use of bioinformatics. With the completion of the Human Genome Project and the advance of several highly complementary technologies, such as laser capture microdissection, unbiased RNA amplification, customized functional arrays (eg, single-nucleotide polymorphism chips), and amenable bioinformatics software, this technology will become widely used by investigators in the field. The large amount of novel, unbiased hypotheses and insights generated by this technology is expected to have a significant impact on the diagnosis, treatment, and prevention of prostate cancer. Finally, this review emphasizes existing, but currently underutilized, data-mining tools, such as multivariate statistical analyses, neural networking, and machine learning techniques, to stimulate wider usage.

Entities:  

Mesh:

Year:  2002        PMID: 12084220     DOI: 10.1007/s11934-002-0011-x

Source DB:  PubMed          Journal:  Curr Urol Rep        ISSN: 1527-2737            Impact factor:   2.862


  48 in total

1.  Systematic variation in gene expression patterns in human cancer cell lines.

Authors:  D T Ross; U Scherf; M B Eisen; C M Perou; C Rees; P Spellman; V Iyer; S S Jeffrey; M Van de Rijn; M Waltham; A Pergamenschikov; J C Lee; D Lashkari; D Shalon; T G Myers; J N Weinstein; D Botstein; P O Brown
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

2.  Identification of differentially expressed genes in human prostate cancer using subtraction and microarray.

Authors:  J Xu; J A Stolk; X Zhang; S J Silva; R L Houghton; M Matsumura; T S Vedvick; K B Leslie; R Badaro; S G Reed
Journal:  Cancer Res       Date:  2000-03-15       Impact factor: 12.701

3.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

4.  Up-regulation of TRPM-2, MMP-7 and ID-1 during sex hormone-induced prostate carcinogenesis in the Noble rat.

Authors:  X S Ouyang; X Wang; D T Lee; S W Tsao; Y C Wong
Journal:  Carcinogenesis       Date:  2001-06       Impact factor: 4.944

Review 5.  The Human Genome Project: an update.

Authors:  K F Peters; T J Menaker; P L Wilson; D W Hadley
Journal:  Cancer Nurs       Date:  2001-08       Impact factor: 2.592

6.  Gene expression profiling of primary breast carcinomas using arrays of candidate genes.

Authors:  F Bertucci; R Houlgatte; A Benziane; S Granjeaud; J Adélaïde; R Tagett; B Loriod; J Jacquemier; P Viens; B Jordan; D Birnbaum; C Nguyen
Journal:  Hum Mol Genet       Date:  2000-12-12       Impact factor: 6.150

7.  Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks.

Authors:  J Khan; J S Wei; M Ringnér; L H Saal; M Ladanyi; F Westermann; F Berthold; M Schwab; C R Antonescu; C Peterson; P S Meltzer
Journal:  Nat Med       Date:  2001-06       Impact factor: 53.440

8.  Microarray-based expression profiling in prostate tumors.

Authors:  J Elek; K H Park; R Narayanan
Journal:  In Vivo       Date:  2000 Jan-Feb       Impact factor: 2.155

9.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

10.  Gene expression profile changes in initiation and progression of squamous cell carcinoma of esophagus.

Authors:  J Lu; Z Liu; M Xiong; Q Wang; X Wang; G Yang; L Zhao; Z Qiu; C Zhou; M Wu
Journal:  Int J Cancer       Date:  2001-02-01       Impact factor: 7.396

View more
  1 in total

1.  In silico dissection of cell-type-associated patterns of gene expression in prostate cancer.

Authors:  Robert O Stuart; William Wachsman; Charles C Berry; Jessica Wang-Rodriguez; Linda Wasserman; Igor Klacansky; Dan Masys; Karen Arden; Steven Goodison; Michael McClelland; Yipeng Wang; Anne Sawyers; Iveta Kalcheva; David Tarin; Dan Mercola
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-13       Impact factor: 11.205

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.