Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays.

@article{citeulike:2673410, abstract = {A key step in bringing gene expression data into clinical practice is the conduct of large studies to confirm preliminary models. The performance of such confirmatory studies and the transition to clinical practice requires that microarray data from different laboratories are comparable and reproducible. We designed a study to assess the comparability of data from four laboratories that will conduct a larger microarray profiling confirmation project in lung adenocarcinomas. To test the feasibility of combining data across laboratories, frozen tumor tissues, cell line pellets, and purified RNA samples were analyzed at each of the four laboratories. Samples of each type and several subsamples from each tumor and each cell line were blinded before being distributed. The laboratories followed a common protocol for all steps of tissue processing, RNA extraction, and microarray analysis using Affymetrix Human Genome U133A arrays. High within-laboratory and between-laboratory correlations were observed on the purified RNA samples, the cell lines, and the frozen tumor tissues. Intraclass correlation within laboratories was only slightly stronger than between laboratories, and the intraclass correlation tended to be weakest for genes expressed at low levels and showing small variation. Finally, hierarchical cluster analysis revealed that the repeated samples clustered together regardless of the laboratory in which the experiments were done. The findings indicate that under properly controlled conditions it is feasible to perform complete tumor microarray analysis, from tissue processing to hybridization and scanning, at multiple independent laboratories for a single study.}, address = {Cancer Diagnosis Program, National Cancer Institute/NIH, Bethesda, MD 20894, USA. dobbinke@mail.nih.gov}, author = {Dobbin, K. K. and Beer, D. G. and Meyerson, M. and Yeatman, T. J. and Gerald, W. L. and Jacobson, J. W. and Conley, B. and Buetow, K. H. and Heiskanen, M. and Simon, R. M. and Minna, J. D. and Girard, L. and Misek, D. E. and Taylor, J. M. and Hanash, S. and Naoki, K. and Hayes, D. N. and Ladd-Acosta, C. and Enkemann, S. A. and Viale, A. and Giordano, T. J. }, citeulike-article-id = {2673410}, issn = {1078-0432}, journal = {Clinical cancer research : an official journal of the American Association for Cancer Research}, month = {January}, number = {2 Pt 1}, pages = {565--572}, posted-at = {2008-04-15 14:15:03}, priority = {2}, title = {Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15701842}, volume = {11}, year = {2005} }

TY - JOUR ID - citeulike:2673410 L3 - citeulike-article-id:2673410 TI - Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays. JF - Clinical cancer research : an official journal of the American Association for Cancer Research VL - 11 IS - 2 Pt 1 SP - 565 EP - 572 AD - Cancer Diagnosis Program, National Cancer Institute/NIH, Bethesda, MD 20894, USA. dobbinke@mail.nih.gov SN - 1078-0432 N2 - A key step in bringing gene expression data into clinical practice is the conduct of large studies to confirm preliminary models. The performance of such confirmatory studies and the transition to clinical practice requires that microarray data from different laboratories are comparable and reproducible. We designed a study to assess the comparability of data from four laboratories that will conduct a larger microarray profiling confirmation project in lung adenocarcinomas. To test the feasibility of combining data across laboratories, frozen tumor tissues, cell line pellets, and purified RNA samples were analyzed at each of the four laboratories. Samples of each type and several subsamples from each tumor and each cell line were blinded before being distributed. The laboratories followed a common protocol for all steps of tissue processing, RNA extraction, and microarray analysis using Affymetrix Human Genome U133A arrays. High within-laboratory and between-laboratory correlations were observed on the purified RNA samples, the cell lines, and the frozen tumor tissues. Intraclass correlation within laboratories was only slightly stronger than between laboratories, and the intraclass correlation tended to be weakest for genes expressed at low levels and showing small variation. Finally, hierarchical cluster analysis revealed that the repeated samples clustered together regardless of the laboratory in which the experiments were done. The findings indicate that under properly controlled conditions it is feasible to perform complete tumor microarray analysis, from tissue processing to hybridization and scanning, at multiple independent laboratories for a single study. AU - Dobbin, KK AU - Beer, DG AU - Meyerson, M AU - Yeatman, TJ AU - Gerald, WL AU - Jacobson, JW AU - Conley, B AU - Buetow, KH AU - Heiskanen, M AU - Simon, RM AU - Minna, JD AU - Girard, L AU - Misek, DE AU - Taylor, JM AU - Hanash, S AU - Naoki, K AU - Hayes, DN AU - Ladd-Acosta, C AU - Enkemann, SA AU - Viale, A AU - Giordano, TJ PY - 2005/01/15/ UR - http://view.ncbi.nlm.nih.gov/pubmed/15701842 ER -