A perspective on DNA microarrays in pathology research and practice.
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[1] J. Derisi,et al. Microarray-based detection and genotyping of viral pathogens , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[2] W. Kuo,et al. High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays , 1998, Nature Genetics.
[3] A. Nobel,et al. Concordance among Gene-Expression – Based Predictors for Breast Cancer , 2011 .
[4] Trevor Hastie,et al. Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human Cancers , 2006, PLoS medicine.
[5] R. Tibshirani,et al. Gene expression profiling identifies clinically relevant subtypes of prostate cancer. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[6] K. Döhner,et al. High meningioma 1 (MN1) expression as a predictor for poor outcome in acute myeloid leukemia with normal cytogenetics. , 2006, Blood.
[7] M. Fernö,et al. "Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers. , 2004, European journal of cancer.
[8] J. Kononen,et al. Tissue microarrays for high-throughput molecular profiling of tumor specimens , 1998, Nature Medicine.
[9] Lei Wang,et al. Noninvasive detection of TMPRSS2:ERG fusion transcripts in the urine of men with prostate cancer. , 2006, Neoplasia.
[10] Y Pawitan,et al. TMPRSS2:ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort , 2007, Oncogene.
[11] Reuven Agami,et al. A large-scale RNAi screen in human cells identifies new components of the p53 pathway , 2004, Nature.
[12] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[13] Robert Tibshirani,et al. Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene‐expression subtypes of breast cancer , 2006, Genes, chromosomes & cancer.
[14] Kathleen F. Kerr,et al. Standardizing global gene expression analysis between laboratories and across platforms , 2005, Nature Methods.
[15] R. Tibshirani,et al. Copyright © American Society for Investigative Pathology Short Communication Expression of Cytokeratins 17 and 5 Identifies a Group of Breast Carcinomas with Poor Clinical Outcome , 2022 .
[16] Ash A. Alizadeh,et al. Gene Expression Signature of Fibroblast Serum Response Predicts Human Cancer Progression: Similarities between Tumors and Wounds , 2004, PLoS biology.
[17] Quynh-Thu Le,et al. Identification of osteopontin as a prognostic plasma marker for head and neck squamous cell carcinomas. , 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.
[18] D J Lockhart,et al. Genome-wide detection of allelic imbalance using human SNPs and high-density DNA arrays. , 2000, Genome research.
[19] Ajay N. Jain,et al. Genomic and transcriptional aberrations linked to breast cancer pathophysiologies. , 2006, Cancer cell.
[20] R. Tibshirani,et al. Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia. , 2004, The New England journal of medicine.
[21] R Tibshirani,et al. Expression of a single gene, BCL-6, strongly predicts survival in patients with diffuse large B-cell lymphoma. , 2001, Blood.
[22] Eric D Wieben,et al. Primer on medical genomics. Part III: Microarray experiments and data analysis. , 2002, Mayo Clinic proceedings.
[23] Christian A. Rees,et al. Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[24] D. Ransohoff. Rules of evidence for cancer molecular-marker discovery and validation , 2004, Nature Reviews Cancer.
[25] M. Cronin,et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.
[26] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[27] Z. Szallasi,et al. A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers , 2006, Nature Genetics.
[28] A. Witteveen,et al. Converting a breast cancer microarray signature into a high-throughput diagnostic test , 2006, BMC Genomics.
[29] Justis P. Ehlers,et al. NBS1 Expression as a Prognostic Marker in Uveal Melanoma , 2005, Clinical Cancer Research.
[30] S. Dhanasekaran,et al. Delineation of prognostic biomarkers in prostate cancer , 2001, Nature.
[31] C. M. Chen,et al. Dissecting complex epigenetic alterations in breast cancer using CpG island microarrays. , 2001, Cancer research.
[32] P. Brown,et al. Autoantigen microarrays for multiplex characterization of autoantibody responses , 2002, Nature Medicine.
[33] Tina Hernandez-Boussard,et al. Determination of Stromal Signatures in Breast Carcinoma , 2005, PLoS biology.
[34] David Botstein,et al. Variation in gene expression patterns in follicular lymphoma and the response to rituximab , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[35] T. Golub,et al. Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma , 2005, Nature.
[36] E. Lander,et al. A molecular signature of metastasis in primary solid tumors , 2003, Nature Genetics.
[37] T. Wolfsberg,et al. DNase-chip: a high-resolution method to identify DNase I hypersensitive sites using tiled microarrays , 2006, Nature Methods.
[38] Eric S. Lander,et al. Genomic Maps and Comparative Analysis of Histone Modifications in Human and Mouse , 2005, Cell.
[39] J. Trent,et al. α-methylacyl-CoA racemase: A new molecular marker for prostate cancer , 2002 .
[40] C. Ball,et al. The novel marker, DOG1, is expressed ubiquitously in gastrointestinal stromal tumors irrespective of KIT or PDGFRA mutation status. , 2004, The American journal of pathology.
[41] Robert J. Marinelli,et al. Placental S100 (S100P) and GATA3: Markers for Transitional Epithelium and Urothelial Carcinoma Discovered by Complementary DNA Microarray , 2007, The American journal of surgical pathology.
[42] Gavin Sherlock,et al. The Stanford Microarray Database: implementation of new analysis tools and open source release of software , 2002, Nucleic Acids Res..
[43] Christian A. Rees,et al. Molecular portraits of human breast tumours , 2000, Nature.
[44] T. Poggio,et al. Multiclass cancer diagnosis using tumor gene expression signatures , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[45] L. Shaffer,et al. Medical applications of array CGH and the transformation of clinical cytogenetics , 2006, Cytogenetic and Genome Research.
[46] Adam Kowalczyk,et al. An expression-based site of origin diagnostic method designed for clinical application to cancer of unknown origin. , 2005, Cancer research.
[47] Atul Butte,et al. The use and analysis of microarray data , 2002, Nature Reviews Drug Discovery.
[48] Tim Hui-Ming Huang,et al. Isolating human transcription factor targets by coupling chromatin immunoprecipitation and CpG island microarray analysis. , 2002, Genes & development.
[49] G. Sherlock,et al. The prognostic role of a gene signature from tumorigenic breast-cancer cells. , 2007, The New England journal of medicine.
[50] Kathleen F. Kerr,et al. The External RNA Controls Consortium: a progress report , 2005, Nature Methods.
[51] S. Reed,et al. Identification of differentially expressed genes in human prostate cancer using subtraction and microarray. , 2000, Cancer research.
[52] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[53] Ajay N. Jain,et al. Breast tumor copy number aberration phenotypes and genomic instability , 2006, BMC Cancer.
[54] H. Döhner,et al. Matrix‐based comparative genomic hybridization: Biochips to screen for genomic imbalances , 1997, Genes, chromosomes & cancer.
[55] Gerd Ritter,et al. Immunotherapeutic Targets Cancer : Identification of Potential Diagnostic and Cancer-related Serological Recognition of Human Colon Updated , 2002 .
[56] Luc Girard,et al. An integrated view of copy number and allelic alterations in the cancer genome using single nucleotide polymorphism arrays. , 2004, Cancer research.
[57] John Quackenbush. Microarray analysis and tumor classification. , 2006, The New England journal of medicine.
[58] C. Perou,et al. Molecular portraits and the family tree of cancer , 2002, Nature Genetics.
[59] Ash A. Alizadeh,et al. Genome-wide analysis of DNA copy number variation in breast cancer using DNA microarrays , 1999, Nature Genetics.
[60] R. Tibshirani,et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[61] John Quackenbush,et al. Multiple-laboratory comparison of microarray platforms , 2005, Nature Methods.
[62] Paul A Clemons,et al. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease , 2006, Science.
[63] Marc Ladanyi,et al. TLE1 as a Diagnostic Immunohistochemical Marker for Synovial Sarcoma Emerging From Gene Expression Profiling Studies , 2007, The American journal of surgical pathology.
[64] Ash A. Alizadeh,et al. Genome-wide analysis of DNA copy-number changes using cDNA microarrays , 1999, Nature Genetics.
[65] Steven C. Lawlor,et al. GenMAPP, a new tool for viewing and analyzing microarray data on biological pathways , 2002, Nature Genetics.
[66] Yudong D. He,et al. A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .
[67] S. Dhanasekaran,et al. The polycomb group protein EZH2 is involved in progression of prostate cancer , 2002, Nature.
[68] Rui Li,et al. Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[69] J. Tchinda,et al. Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer , 2005, Science.
[70] A. Gown,et al. Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma , 2004, Clinical Cancer Research.
[71] A. Saeed,et al. Microarrays: an overview. , 2007, Methods in molecular biology.
[72] Wei Wang,et al. A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. , 2004, Cancer cell.
[73] Guido Marcucci,et al. Independent confirmation of a prognostic gene-expression signature in adult acute myeloid leukemia with a normal karyotype: a Cancer and Leukemia Group B study. , 2006, Blood.
[74] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[75] Gareth Elvidge,et al. Microarray expression technology: from start to finish. , 2006, Pharmacogenomics.
[76] L. Chin,et al. High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. , 2006, Cancer cell.
[77] E. Petricoin,et al. Reverse phase protein microarrays which capture disease progression show activation of pro-survival pathways at the cancer invasion front , 2001, Oncogene.
[78] Jeffrey R. Marks,et al. Oncogenic properties of PPM1D located within a breast cancer amplification epicenter at 17q23 , 2002, Nature Genetics.
[79] Ulrich Siebenlist,et al. Constitutive Nuclear Factor κB Activity Is Required for Survival of Activated B Cell–like Diffuse Large B Cell Lymphoma Cells , 2001, The Journal of experimental medicine.
[80] G. Glinsky,et al. Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer. , 2005, The Journal of clinical investigation.
[81] Jeffrey T. Chang,et al. Oncogenic pathway signatures in human cancers as a guide to targeted therapies , 2006, Nature.
[82] Alan Cantor,et al. Osteopontin identified as lead marker of colon cancer progression, using pooled sample expression profiling. , 2002, Journal of the National Cancer Institute.
[83] S. P. Fodor,et al. Multiplexed biochemical assays with biological chips , 1993, Nature.
[84] J. Blake,et al. Creating the Gene Ontology Resource : Design and Implementation The Gene Ontology Consortium 2 , 2001 .
[85] D. Sabatini,et al. Microarrays of cells expressing defined cDNAs , 2001, Nature.
[86] A. Whittemore,et al. Admixture mapping identifies 8q24 as a prostate cancer risk locus in African-American men , 2006, Proceedings of the National Academy of Sciences.
[87] Debashis Ghosh,et al. alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer. , 2002, JAMA.
[88] J. Shendure,et al. Materials and Methods Som Text Figs. S1 and S2 Tables S1 to S4 References Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome , 2022 .
[89] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[90] Adrian Wiestner,et al. ZAP-70 expression and prognosis in chronic lymphocytic leukaemia , 2004, The Lancet.
[91] B. Lembersky,et al. Metastases of unknown primary site. , 1996, The Medical clinics of North America.
[92] F. Kokocinski,et al. Microarray-based screening for molecular markers in medulloblastoma revealed STK15 as independent predictor for survival. , 2004, Cancer research.
[93] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[94] Emanuel F. Petricoin,et al. Medical applications of microarray technologies: a regulatory science perspective , 2002, Nature Genetics.
[95] S. Schreiber,et al. Printing proteins as microarrays for high-throughput function determination. , 2000, Science.
[96] W. Lam,et al. Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells , 2005, Nature Genetics.
[97] T. Barrette,et al. Profiling of cancer cells using protein microarrays: discovery of novel radiation-regulated proteins. , 2001, Cancer research.
[98] D. Allison,et al. Microarray data analysis: from disarray to consolidation and consensus , 2006, Nature Reviews Genetics.
[99] T. Barrette,et al. Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. , 2007, Neoplasia.
[100] C. Nusbaum,et al. Large-scale identification, mapping, and genotyping of single-nucleotide polymorphisms in the human genome. , 1998, Science.
[101] P. Brown,et al. Protein microarrays for highly parallel detection and quantitation of specific proteins and antibodies in complex solutions , 2001, Genome Biology.