Literature DB >> 12118031

Microarrays as cancer keys: an array of possibilities.

Steve Mohr1, George D Leikauf, Gérard Keith, Bertrand H Rihn.   

Abstract

Malignant transformation results from accumulation of genetic and epigenetic events. Functional studies of cancer will be crucial to our understanding of its complexity and polymorphism. There is no doubt that emerging genomic and proteomic technologies will facilitate such investigations. Microarray technology is a new and efficient approach to extract data of biomedical relevance for a wide range of applications. In cancer research, it will provide high-throughput and valuable insights into differences in an individual's tumor as compared with constitutional DNA, mRNA expression, and protein expression and activity. Across individuals, comparisons could provide tissue-specific disease signatures that provide diagnosis based on hundreds of informative genes. The resulting product should be a wealth of tumor-associated and tumor-specific biomarkers, which may help in cancer etiology, diagnosis, and therapy and ultimately lead to "molecular nosology" of cancers. This review highlights the recent developments in microarray technologies in cancer research, focuses on the results obtained so far, and describes the eventual use of microarray technology for clinical applications.

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Year:  2002        PMID: 12118031     DOI: 10.1200/JCO.2002.12.073

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  21 in total

Review 1.  Standards affecting the consistency of gene expression arrays in clinical applications.

Authors:  Steven A Enkemann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

2.  Association of tumor-associated trypsin inhibitor (TATI) expression with molecular markers, pathologic features and clinical outcomes of urothelial carcinoma of the urinary bladder.

Authors:  Oliver Patschan; Shahrokh F Shariat; Daher C Chade; Pierre I Karakiewicz; Raheela Ashfaq; Yair Lotan; Kristina Hotakainen; Ulf-Håkan Stenman; Anders Bjartell
Journal:  World J Urol       Date:  2011-07-08       Impact factor: 4.226

3.  Differential RNA expression profile by cDNA microarray in sporadic primary hyperparathyroidism (pHPT): primary parathyroid hyperplasia versus adenoma.

Authors:  David Velázquez-Fernández; Cecilia Laurell; Milena Saqui-Salces; Juan Pablo Pantoja; Fernando Candanedo-Gonzalez; Alfredo Reza-Albarrán; Armando Gamboa-Dominguez; Miguel F Herrera
Journal:  World J Surg       Date:  2006-05       Impact factor: 3.352

4.  Analysis of orthologous gene expression between human pulmonary adenocarcinoma and a carcinogen-induced murine model.

Authors:  Robert S Stearman; Lori Dwyer-Nield; Laura Zerbe; Stacy A Blaine; Zeng Chan; Paul A Bunn; Gary L Johnson; Fred R Hirsch; Daniel T Merrick; Wilbur A Franklin; Anna E Baron; Robert L Keith; Raphael A Nemenoff; Alvin M Malkinson; Mark W Geraci
Journal:  Am J Pathol       Date:  2005-12       Impact factor: 4.307

5.  Transcriptomic profiles differentiate normal rectal epithelium and adenocarcinoma.

Authors:  J Hogan; K Dejulius; X Liu; J C Coffey; M F Kalady
Journal:  Int Surg       Date:  2015-05

Review 6.  Molecular profiling of hepatocellular carcinomas by cDNA microarray.

Authors:  Lian-Hai Zhang; Jia-Fu Ji
Journal:  World J Gastroenterol       Date:  2005-01-28       Impact factor: 5.742

Review 7.  [Microarrays].

Authors:  M-O Grimm; F H Hartmann; W A Schulz
Journal:  Urologe A       Date:  2004-06       Impact factor: 0.639

8.  Epigenetic silencing of MAL, a putative tumor suppressor gene, can contribute to human epithelium cell carcinoma.

Authors:  Wei Cao; Zhi-Yuan Zhang; Qin Xu; Qiang Sun; Ming Yan; Jun Zhang; Ping Zhang; Ze-Guang Han; Wan-Tao Chen
Journal:  Mol Cancer       Date:  2010-11-22       Impact factor: 27.401

9.  3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.

Authors:  Andrew H Beck; Ziming Weng; Daniela M Witten; Shirley Zhu; Joseph W Foley; Phil Lacroute; Cheryl L Smith; Robert Tibshirani; Matt van de Rijn; Arend Sidow; Robert B West
Journal:  PLoS One       Date:  2010-01-19       Impact factor: 3.240

10.  Molecular restoration of archived transcriptional profiles by complementary-template reverse-transcription (CT-RT).

Authors:  Olivier Loudig; Ekaterina Milova; Margaret Brandwein-Gensler; Aldo Massimi; Thomas J Belbin; Geoffrey Childs; Robert H Singer; Thomas Rohan; Michael B Prystowsky
Journal:  Nucleic Acids Res       Date:  2007-07-17       Impact factor: 16.971

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