%0 Journal Article %1 Kim2010 %A Kim, Kyoungmi %A Zakharkin, Stanislav O %A Allison, David B %D 2010 %J Journal of clinical epidemiology %K BiologicalMarkers ClinicalTrialsasTopic Databases GeneExpressionProfiling GeneExpressionProfiling:instrumentation GeneExpressionProfiling:methods Genetic Genetic:genetics Humans InformationStorageandRetrieval InformationStorageandRetrieval:methods MicroarrayAnalysis MicroarrayAnalysis:methods Neoplasms Neoplasms:diagnosis Neoplasms:genetics ReproducibilityofResults Transcription %N 9 %P 950-9 %R 10.1016/j.jclinepi.2010.02.018 %T Expectations, validity, and reality in gene expression profiling. %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2910173&tool=pmcentrez&rendertype=abstract %V 63 %X OBJECTIVE: To provide a critical overview of gene expression profiling methodology and discuss areas of future development. RESULTS: Gene expression profiling has been used extensively in biological research and has resulted in significant advances in the understanding of the molecular mechanisms of complex disorders, including cancer, heart disease, and metabolic disorders. However, translating this technology into genomic medicine for use in diagnosis and prognosis faces many challenges. In addition, gene expression profile analysis is frequently controversial, because its conclusions often lack reproducibility and claims of effective dissemination into translational medicine have, in some cases, been remarkably unjustified. In the last decade, a large number of methodological and technical solutions have been offered to overcome the challenges. STUDY DESIGN AND SETTING: We consider the strengths, limitations, and appropriate applications of gene expression profiling techniques, with particular reference to the clinical relevance. CONCLUSION: Some studies have demonstrated the ability and clinical utility of gene expression profiling for use as diagnostic, prognostic, and predictive molecular markers. The challenges of gene expression profiling lie with the standardization of analytic approaches and the evaluation of the clinical merit in broader heterogeneous populations by prospective clinical trials. %@ 1878-5921; 0895-4356

@article{Kim2010, abstract = {OBJECTIVE: To provide a critical overview of gene expression profiling methodology and discuss areas of future development. RESULTS: Gene expression profiling has been used extensively in biological research and has resulted in significant advances in the understanding of the molecular mechanisms of complex disorders, including cancer, heart disease, and metabolic disorders. However, translating this technology into genomic medicine for use in diagnosis and prognosis faces many challenges. In addition, gene expression profile analysis is frequently controversial, because its conclusions often lack reproducibility and claims of effective dissemination into translational medicine have, in some cases, been remarkably unjustified. In the last decade, a large number of methodological and technical solutions have been offered to overcome the challenges. STUDY DESIGN AND SETTING: We consider the strengths, limitations, and appropriate applications of gene expression profiling techniques, with particular reference to the clinical relevance. CONCLUSION: Some studies have demonstrated the ability and clinical utility of gene expression profiling for use as diagnostic, prognostic, and predictive molecular markers. The challenges of gene expression profiling lie with the standardization of analytic approaches and the evaluation of the clinical merit in broader heterogeneous populations by prospective clinical trials.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Kim, Kyoungmi and Zakharkin, Stanislav O and Allison, David B}, biburl = {https://www.bibsonomy.org/bibtex/2cfd3c8ec3fdddc78db934f4b9007bdde/jepcastel}, city = {Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA 95616, USA. kmkim@ucdavis.edu}, doi = {10.1016/j.jclinepi.2010.02.018}, interhash = {1afb3e1b04f1be9d19067b176f6cb959}, intrahash = {cfd3c8ec3fdddc78db934f4b9007bdde}, isbn = {1878-5921; 0895-4356}, issn = {1878-5921}, journal = {Journal of clinical epidemiology}, keywords = {BiologicalMarkers ClinicalTrialsasTopic Databases GeneExpressionProfiling GeneExpressionProfiling:instrumentation GeneExpressionProfiling:methods Genetic Genetic:genetics Humans InformationStorageandRetrieval InformationStorageandRetrieval:methods MicroarrayAnalysis MicroarrayAnalysis:methods Neoplasms Neoplasms:diagnosis Neoplasms:genetics ReproducibilityofResults Transcription}, month = {9}, note = {7117<m:linebreak></m:linebreak>LR: 20110913; GR: P01 AG025532-02/AG/NIA NIH HHS/United States; GR: P01 AG025532-03/AG/NIA NIH HHS/United States; GR: P01AG025532/AG/NIA NIH HHS/United States; GR: P30 DK056336-05/DK/NIDDK NIH HHS/United States; GR: P30DK056336/DK/NIDDK NIH HHS/United States; JID: 8801383; 0 (Biological Markers); NIHMS199602; OID: NLM: NIHMS199602; OID: NLM: PMC2910173; 2009/06/11 [received]; 2010/02/09 [revised]; 2010/02/11 [accepted]; 2010/06/25 [aheadofprint]; ppublish;<m:linebreak></m:linebreak>Epidemiologia genètica}, number = 9, pages = {950-9}, pmid = {20579843}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Expectations, validity, and reality in gene expression profiling.}, url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2910173&tool=pmcentrez&rendertype=abstract}, volume = 63, year = 2010 }