Literature DB >> 11528203

High-throughput microarray technologies: from genomics to clinics.

L Bubendorf1.   

Abstract

BACKGROUND: Despite continuous research efforts in the past decades, there are still cancers where no effective treatment is available, such as advanced kidney cancer or hormone-refractory prostate cancer. A better understanding of the molecular mechanisms of cancer development and progression is the basis for the development of new diagnostic and therapeutic strategies. Current developments in genomics have a dramatic impact on the whole field of research. The sequence of the entire human genome will soon be fully sequenced and provide the 'book of life' as a basis for the understanding of human disease. METHODS AND
RESULTS: New technologies have emerged to translate the human genome sequence into gene function and improved diagnostics or treatment modalities. New technologies such as microarrays are not only important for fundamental research, but will also be useful for diagnostic, prognostic or therapeutic purposes in individual patients. DNA microarrays make it possible to analyze the mRNA expression of thousands of genes simultaneously. The resulting comprehensive gene expression surveys lead to the identification of new genes and pathways with importance in cancer development and progression, or as targets for new therapies. The validation and prioritization of genes emerging from genome screening analyses in large series of clinical tumors has become a new bottleneck in research. Therefore, we have recently developed the tissue microarray (TMA) technology to efficiently test the clinical relevance of candidate genes. TMAs are microscope slides containing samples from hundreds of individual tumor specimens. They can be used for large-scale, massively parallel in situ analysis of genetic alterations on a DNA, RNA and protein level using in situ hybridization or immunohistochemistry on hundreds of tumor specimens at a time. Microarray technologies are already increasingly being used in urologic research, and will also have a strong impact on clinical urology.
CONCLUSIONS: DNA microarrays and TMAs provide a powerful approach to identify large numbers of new candidate genes, and rapidly validate their clinical impact in large series of human tumors. These technologies will soon lead to a better molecular understanding of urologic tumors, and accelerate the identification of new prognostic markers or therapeutic targets.

Entities:  

Mesh:

Year:  2001        PMID: 11528203     DOI: 10.1159/000049777

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  14 in total

Review 1.  In situ hybridization in the pathology laboratory: general principles, automation, and emerging research applications for tissue-based studies of gene expression.

Authors:  David G Hicks; Gabe Longoria; James Pettay; Tom Grogan; Shannon Tarr; Raymond Tubbs
Journal:  J Mol Histol       Date:  2004-08       Impact factor: 2.611

2.  Application of new tissue microarrayer-ZM-1 without recipient paraffin block.

Authors:  Pan-Qing Meng; Gang Hou; Gui-Ying Zhou; Jia-Ping Peng; Qi Dong; Shu Zheng
Journal:  J Zhejiang Univ Sci B       Date:  2005-09       Impact factor: 3.066

3.  Biomarkers in bladder cancer: present status and perspectives.

Authors:  Wun-Jae Kim; Soongang Park; Yong-June Kim
Journal:  Biomark Insights       Date:  2007-03-27

4.  Automatic Spot Identification for High Throughput Microarray Analysis.

Authors:  Eunice Wu; Yan A Su; Eric Billings; Bernard R Brooks; Xiongwu Wu
Journal:  J Bioeng Biomed Sci       Date:  2011-11-18

Review 5.  Molecular and genetic prognostic factors of prostate cancer.

Authors:  Arnab Chakravarti; Gary Guotang Zhai
Journal:  World J Urol       Date:  2003-08-09       Impact factor: 4.226

6.  An approach to the validation of novel molecular markers of breast cancer via TMA-based FISH scanning.

Authors:  Raymond R Tubbs; Eric Swain; James D Pettay; David G Hicks
Journal:  J Mol Histol       Date:  2007-01-09       Impact factor: 3.156

Review 7.  Towards in vitro molecular diagnostics using nanostructures.

Authors:  Tetiana Kurkina; Kannan Balasubramanian
Journal:  Cell Mol Life Sci       Date:  2011-10-19       Impact factor: 9.207

8.  Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer.

Authors:  Wun-Jae Kim; Eun-Jung Kim; Seon-Kyu Kim; Yong-June Kim; Yun-Sok Ha; Pildu Jeong; Min-Ju Kim; Seok-Joong Yun; Keon Myung Lee; Sung-Kwon Moon; Sang-Cheol Lee; Eun-Jong Cha; Suk-Chul Bae
Journal:  Mol Cancer       Date:  2010-01-08       Impact factor: 27.401

9.  High c-MET expression is frequent but not associated with early PSA recurrence in prostate cancer.

Authors:  Frank Jacobsen; Sharad Nouraie Ashtiani; Pierre Tennstedt; Hans Heinzer; Ronald Simon; Guido Sauter; Hüseyin Sirma; Maria Christina Tsourlakis; Sarah Minner; Thorsten Schlomm; Uwe Michl
Journal:  Exp Ther Med       Date:  2012-10-25       Impact factor: 2.447

10.  Network analysis of differential expression for the identification of disease-causing genes.

Authors:  Daniela Nitsch; Léon-Charles Tranchevent; Bernard Thienpont; Lieven Thorrez; Hilde Van Esch; Koenraad Devriendt; Yves Moreau
Journal:  PLoS One       Date:  2009-05-13       Impact factor: 3.240

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