2006
RefSeq Refinements of UniGene-Based Gene Matching Improve the Correlation of Expression Measurements Between Two Microarray Platforms
Ji Y, Coombes K, Zhang J, Wen S, Mitchell J, Pusztai L, Symmans WF, Wang J. RefSeq Refinements of UniGene-Based Gene Matching Improve the Correlation of Expression Measurements Between Two Microarray Platforms. Applied Bioinformatics 2006, 5: 89-98. PMID: 16722773, DOI: 10.2165/00822942-200605020-00003.Peer-Reviewed Original Research
2003
Gene expression profiles obtained from fine-needle aspirations of breast cancer reliably identify routine prognostic markers and reveal large-scale molecular differences between estrogen-negative and estrogen-positive tumors.
Pusztai L, Ayers M, Stec J, Clark E, Hess K, Stivers D, Damokosh A, Sneige N, Buchholz TA, Esteva FJ, Arun B, Cristofanilli M, Booser D, Rosales M, Valero V, Adams C, Hortobagyi GN, Symmans WF. Gene expression profiles obtained from fine-needle aspirations of breast cancer reliably identify routine prognostic markers and reveal large-scale molecular differences between estrogen-negative and estrogen-positive tumors. Clinical Cancer Research 2003, 9: 2406-15. PMID: 12855612.Peer-Reviewed Original ResearchAdultAgedBiopsy, Fine-NeedleBreast NeoplasmsCluster AnalysisDNA, ComplementaryEstrogensFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisReceptor, ErbB-2Receptors, EstrogenRNARNA, MessengerSignal TransductionTime Factors