Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer Export

@article{12154050, abstract = {The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies. To extract maximum value from the accumulating mass of publicly available cancer gene expression data, methods are needed to evaluate, integrate, and intervalidate multiple datasets. Here we demonstrate a statistical model for performing meta-analysis of independent microarray datasets. Implementation of this model revealed that four prostate cancer gene expression datasets shared significantly similar results, independent of the method and technology used (i.e., spotted cDNA versus oligonucleotide). This interstudy cross-validation approach generated a cohort of genes that were consistently and significantly dysregulated in prostate cancer. Bioinformatic investigation of these genes revealed a synchronous network of transcriptional regulation in the polyamine and purine biosynthesis pathways. Beyond the specific implications for prostate cancer, this work establishes a much-needed model for the evaluation, cross-validation, and comparison of multiple cancer profiling studies.}, address = {Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA.}, author = {Rhodes, D. R. and Barrette, T. R. and Rubin, M. A. and Ghosh, D. and Chinnaiyan, A. M.}, citeulike-article-id = {4415716}, citeulike-linkout-0 = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12154050%20}, comment = {0008-5472 (Print) Journal Article Meta-Analysis}, day = {1}, journal = {Cancer Res}, keywords = {adenosine, analysismethods, array, databases, expression, file-import-09-04-28, gene, genetic, govt, humans, male, monophosphatebiosynthesis, neoplasmsgeneticsmetabolism, neoplastic, non-us, of, oligonucleotide, phs, profiling, prostatic, regulation, reproducibility, research, results, sequence, spermidinebiosynthesis, sperminebiosynthesis, support, us}, month = {August}, number = {15}, pages = {4427--33}, posted-at = {2009-04-28 16:00:44}, priority = {2}, title = {Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer}, url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12154050%20}, volume = {62}, year = {2002} }

TY - JOUR ID - 12154050 L3 - citeulike-article-id:4415716 N2 - The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies. To extract maximum value from the accumulating mass of publicly available cancer gene expression data, methods are needed to evaluate, integrate, and intervalidate multiple datasets. Here we demonstrate a statistical model for performing meta-analysis of independent microarray datasets. Implementation of this model revealed that four prostate cancer gene expression datasets shared significantly similar results, independent of the method and technology used (i.e., spotted cDNA versus oligonucleotide). This interstudy cross-validation approach generated a cohort of genes that were consistently and significantly dysregulated in prostate cancer. Bioinformatic investigation of these genes revealed a synchronous network of transcriptional regulation in the polyamine and purine biosynthesis pathways. Beyond the specific implications for prostate cancer, this work establishes a much-needed model for the evaluation, cross-validation, and comparison of multiple cancer profiling studies. IS - 15 JF - Cancer Res AD - Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA. EP - 33 TI - Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer VL - 62 SP - 4427 KW - adenosine KW - analysismethods KW - array KW - databases KW - expression KW - file-import-09-04-28 KW - gene KW - genetic KW - govt KW - humans KW - male KW - monophosphatebiosynthesis KW - neoplasmsgeneticsmetabolism KW - neoplastic KW - non-us KW - of KW - oligonucleotide KW - phs KW - profiling KW - prostatic KW - regulation KW - reproducibility KW - research KW - results KW - sequence KW - spermidinebiosynthesis KW - sperminebiosynthesis KW - support KW - us N1 - 0008-5472 (Print) Journal Article Meta-Analysis AU - Rhodes, DR AU - Barrette, TR AU - Rubin, MA AU - Ghosh, D AU - Chinnaiyan, AM PY - 2002/08/01/ UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12154050%20 ER -