Literature DB >> 15138693

[Microarrays].

M-O Grimm1, F H Hartmann, W A Schulz.   

Abstract

Microarrays allow a simultaneous gene expression analysis of thousands of genes, providing an expression profile of the specimen investigated. Thus, this procedure is well suited to characterize the complex genetic alterations of malignant tumors. Using unsupervised hierarchical cluster analysis, characteristic expression profiles for individuals, organs and tissues, as well as for different cell types, can be identified. Molecular signatures have been observed in tumors compared to normal tissue, for different tumor stages, risk groups or response therapy. In prostate cancer, many tumor-specific gene expression alterations have been identified. Among these, the cell surface protease hepsin and alpha-methyl-acryl-CoA-racemase might gain importance as diagnostic tools. Moreover, gene expression profiles were identified which are associated with advanced tumor stage, poor differentiation or progress after radical prostatectomy. Increased expression of enzymes of steroid biosynthesis and the androgen receptor appears to be part of the molecular signature of hormone refractory prostate cancer.

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Mesh:

Year:  2004        PMID: 15138693     DOI: 10.1007/s00120-004-0578-6

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  36 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

3.  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

4.  Hormone therapy failure in human prostate cancer: analysis by complementary DNA and tissue microarrays.

Authors:  L Bubendorf; M Kolmer; J Kononen; P Koivisto; S Mousses; Y Chen; E Mahlamäki; P Schraml; H Moch; N Willi; A G Elkahloun; T G Pretlow; T C Gasser; M J Mihatsch; G Sauter; O P Kallioniemi
Journal:  J Natl Cancer Inst       Date:  1999-10-20       Impact factor: 13.506

5.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

6.  Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse.

Authors:  Susan M Henshall; Daniel E H Afar; Jordan Hiller; Lisa G Horvath; David I Quinn; Krishan K Rasiah; Kurt Gish; Dorian Willhite; James G Kench; Margaret Gardiner-Garden; Phillip D Stricker; Howard I Scher; John J Grygiel; David B Agus; David H Mack; Robert L Sutherland
Journal:  Cancer Res       Date:  2003-07-15       Impact factor: 12.701

7.  A diagnostic test for prostate cancer from gene expression profiling data.

Authors:  Raphael Bueno; Kevin R Loughlin; Martha H Powell; Gavin J Gordon
Journal:  J Urol       Date:  2004-02       Impact factor: 7.450

8.  Gene expression profiling identifies clinically relevant subtypes of prostate cancer.

Authors:  Jacques Lapointe; Chunde Li; John P Higgins; Matt van de Rijn; Eric Bair; Kelli Montgomery; Michelle Ferrari; Lars Egevad; Walter Rayford; Ulf Bergerheim; Peter Ekman; Angelo M DeMarzo; Robert Tibshirani; David Botstein; Patrick O Brown; James D Brooks; Jonathan R Pollack
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-07       Impact factor: 11.205

Review 9.  Chromosomal deletions and tumor suppressor genes in prostate cancer.

Authors:  J T Dong
Journal:  Cancer Metastasis Rev       Date:  2001       Impact factor: 9.264

10.  Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.

Authors:  Eva LaTulippe; Jaya Satagopan; Alex Smith; Howard Scher; Peter Scardino; Victor Reuter; William L Gerald
Journal:  Cancer Res       Date:  2002-08-01       Impact factor: 12.701

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