Gene-expression-based prognostic assays for breast cancer
暂无分享,去创建一个
[1] Van,et al. A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.
[2] Debjani Dutta,et al. Measurement of gene expression in archival paraffin-embedded tissues: development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay. , 2004, The American journal of pathology.
[3] J. Bergh,et al. Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[4] Annuska M. Glas,et al. The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer , 2010, Breast Cancer Research and Treatment.
[5] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[6] Sridhar Ramaswamy,et al. Analysis of the MammaPrint Breast Cancer Assay in a Predominantly Postmenopausal Cohort , 2008, Clinical Cancer Research.
[7] Jennifer L. Osborn,et al. Direct multiplexed measurement of gene expression with color-coded probe pairs , 2008, Nature Biotechnology.
[8] R. Salunga,et al. A Five-Gene Molecular Grade Index and HOXB13:IL17BR Are Complementary Prognostic Factors in Early Stage Breast Cancer , 2008, Clinical Cancer Research.
[9] 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.
[10] S. Paik,et al. Technology Insight: application of molecular techniques to formalin-fixed paraffin-embedded tissues from breast cancer , 2005, Nature Clinical Practice Oncology.
[11] A. Witteveen,et al. Converting a breast cancer microarray signature into a high-throughput diagnostic test , 2006, BMC Genomics.
[12] Christos Hatzis,et al. Commercialized multigene predictors of clinical outcome for breast cancer. , 2008, The oncologist.
[13] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[14] Maqc Consortium. The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements , 2006, Nature Biotechnology.
[15] A. Nobel,et al. Concordance among Gene-Expression – Based Predictors for Breast Cancer , 2011 .
[16] Benjamin Haibe-Kains,et al. Improvement of the clinical applicability of the Genomic Grade Index through a qRT-PCR test performed on frozen and formalin-fixed paraffin-embedded tissues , 2009, BMC Genomics.
[17] J. Sparano,et al. TAILORx: trial assigning individualized options for treatment (Rx). , 2006, Clinical breast cancer.
[18] C. Sotiriou,et al. Genomic grade index is associated with response to chemotherapy in patients with breast cancer. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[19] M. J. van de Vijver,et al. The 70-gene prognosis signature predicts early metastasis in breast cancer patients between 55 and 70 years of age. , 2010, Annals of oncology : official journal of the European Society for Medical Oncology.
[20] Stella Mook,et al. Individualization of therapy using Mammaprint: from development to the MINDACT Trial. , 2007, Cancer genomics & proteomics.
[21] M. J. van de Vijver,et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. , 2006, Journal of the National Cancer Institute.
[22] Robert Gray,et al. Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[23] M. Cronin,et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.
[24] M. Monden,et al. Analysis of chemical modification of RNA from formalin-fixed samples and optimization of molecular biology applications for such samples. , 1999, Nucleic acids research.
[25] Fatima Cardoso,et al. The MINDACT trial: The first prospective clinical validation of a genomic tool , 2007, Molecular oncology.
[26] A. Nobel,et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[27] R. Eils,et al. Genomic analysis of single cytokeratin-positive cells from bone marrow reveals early mutational events in breast cancer. , 2005, Cancer cell.
[28] Marc Buyse,et al. Gene signature evaluation as a prognostic tool: challenges in the design of the MINDACT trial , 2006, Nature Clinical Practice Oncology.
[29] S. Shak,et al. A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients , 2006, Breast Cancer Research.
[30] Robert B Livingston,et al. Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial. , 2010, The Lancet. Oncology.
[31] M. Cronin,et al. Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer. , 2007, Clinical chemistry.
[32] M. Cronin,et al. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[33] L. V. van't Veer,et al. Clinical application of the 70-gene profile: the MINDACT trial. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[34] S. Paik,et al. Gene expression-based prognostic and predictive markers for breast cancer: a primer for practicing pathologists. , 2009, Archives of pathology & laboratory medicine.
[35] Christian A. Rees,et al. Molecular portraits of human breast tumours , 2000, Nature.