Publication Author: Urban_Nicole
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Activation of the MEK-S6 pathway in high-grade ovarian cancers.
Ventura AP, Radhakrishnan S, Green A, Rajaram SK, Allen AN, O’Briant K, Schummer M, Karlan B, Urban N, Tewari M, Drescher C, Knudsen BS. Activation of the MEK-S6 pathway in high-grade ovarian cancers. Appl Immunohistochem Mol Morphol. 2010 Dec;18(6):499-5
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Breast cancer genomics: normal tissue and cancer markers.
Schummer M, Beatty D, Urban N. Breast cancer genomics: normal tissue and cancer markers. Ann N Y Acad Sci. 2010 Oct;1210:78-85. doi: 10.1111/j.1749-6632.2010.05803.x.
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Use of a single-chain antibody library for ovarian cancer biomarker discovery.
Ramirez AB, Loch CM, Zhang Y, Liu Y, Wang X, Wayner EA, Sargent JE, Sibani S, Hainsworth E, Mendoza EA, Eugene R, Labaer J, Urban ND, McIntosh MW, Lampe PD. Use of a single-chain antibody library for ovarian cancer biomarker discovery. Mol Cell Proteomics
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Use of a Symptom Index, CA125, and HE4 to predict ovarian cancer.
Andersen MR, Goff BA, Lowe KA, Scholler N, Bergan L, Drescher CW, Paley P, Urban N. Use of a Symptom Index, CA125, and HE4 to predict ovarian cancer. Gynecol Oncol. 2010 Mar;116(3):378-83. Epub 2009 Nov 28.
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Comparison of breast cancer to healthy control tissue discovers novel markers with potential for prognosis and early detection.
Schummer M, Green A, Beatty JD, Karlan BY, Karlan S, Gross J, Thornton S, McIntosh M, Urban N. Comparison of breast cancer to healthy control tissue discovers novel markers with potential for prognosis and early detection. PLoS One. 2010 Feb 9;5(2):e9122.
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Assessing lead time of selected ovarian cancer biomarkers: a nested case-control study.
Anderson GL, McIntosh M, Wu L, Barnett M, Goodman G, Thorpe JD, Bergan L, Thornquist MD, Scholler N, Kim N, O’Briant K, Drescher C, Urban N. Assessing lead time of selected ovarian cancer biomarkers: a nested case-control study. J Natl Cancer Inst. 2010 J
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Regulation of miR-200 family microRNAs and ZEB transcription factors in ovarian cancer: evidence supporting a mesothelial-to-epithelial transition.
Bendoraite A, Knouf EC, Garg KS, Parkin RK, Kroh EM, O’Briant KC, Ventura AP, Godwin AK, Karlan BY, Drescher CW, Urban N, Knudsen BS, Tewari M. Regulation of miR-200 family microRNAs and ZEB transcription factors in ovarian cancer: evidence supporting a m
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Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.
Pitteri SJ, JeBailey L, Faça VM, Thorpe JD, Silva MA, Ireton RC, Horton MB, Wang H, Pruitt LC, Zhang Q, Cheng KH, Urban N, Hanash SM, Dinulescu DM. Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer b
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Evaluating erythropoietin-associated tumor progression using archival tissues from a phase III clinical trial.
Miller CP, Lowe KA, Valliant-Saunders K, Kaiser JF, Mattern D, Urban N, Henke M, Blau CA. Evaluating erythropoietin-associated tumor progression using archival tissues from a phase III clinical trial. Stem Cells. 2009 Sep;27(9):2353-61.
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Quantitative proteomics analysis integrated with microarray data reveals that extracellular matrix proteins, catenins, and p53 binding protein 1 are important for chemotherapy response in ovarian cancers.
Pan S, Cheng L, White JT, Lu W, Utleg AG, Yan X, Urban ND, Drescher CW, Hood L, Lin B. Quantitative proteomics analysis integrated with microarray data reveals that extracellular matrix proteins, catenins, and p53 binding protein 1 are important for chemo
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