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    Results: 1 to 20 of 497

    1.

    Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies.

    Mattie MD, Benz CC, Bowers J, Sensinger K, Wong L, Scott GK, Fedele V, Ginzinger D, Getts R, Haqq C.

    Mol Cancer. 2006 Jun 19;5:24.PMID: 16784538 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Gene expression profiles of breast cancer obtained from core cut biopsies before neoadjuvant docetaxel, adriamycin, and cyclophoshamide chemotherapy correlate with routine prognostic markers and could be used to identify predictive signatures.

    Rody A, Karn T, Gätje R, Kourtis K, Minckwitz G, Loibl S, Munnes M, Ruckhäberle E, Holtrich U, Kaufmann M, Ahr A.

    Zentralbl Gynakol. 2006 Apr;128(2):76-81.PMID: 16673249 [PubMed - indexed for MEDLINE]Related articles

    3.

    Challenges in projecting clustering results across gene expression-profiling datasets.

    Lusa L, McShane LM, Reid JF, De Cecco L, Ambrogi F, Biganzoli E, Gariboldi M, Pierotti MA.

    J Natl Cancer Inst. 2007 Nov 21;99(22):1715-23. Epub 2007 Nov 13.PMID: 18000217 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    MicroRNA expression profiling of male breast cancer.

    Fassan M, Baffa R, Palazzo JP, Lloyd J, Crosariol M, Liu CG, Volinia S, Alder H, Rugge M, Croce CM, Rosenberg A.

    Breast Cancer Res. 2009;11(4):R58. Epub 2009 Aug 10.PMID: 19664288 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    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.

    Clin Cancer Res. 2003 Jul;9(7):2406-15.PMID: 12855612 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer.

    Rubin MA, Zhou M, Dhanasekaran SM, Varambally S, Barrette TR, Sanda MG, Pienta KJ, Ghosh D, Chinnaiyan AM.

    JAMA. 2002 Apr 3;287(13):1662-70.PMID: 11926890 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis.

    Chen Y, Gelfond JA, McManus LM, Shireman PK.

    BMC Genomics. 2009 Aug 28;10:407.PMID: 19715577 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Novel tumor sampling strategies to enable microarray gene expression signatures in breast cancer: a study to determine feasibility and reproducibility in the context of clinical care.

    Tebbit CL, Zhai J, Untch BR, Ellis MJ, Dressman HK, Bentley RC, Baker JA, Marcom PK, Nevins JR, Marks JR, Olson JA Jr.

    Breast Cancer Res Treat. 2009 Dec;118(3):635-43. Epub 2009 Feb 18.PMID: 19224362 [PubMed - indexed for MEDLINE]Related articles

    10.

    Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation.

    Smith DD, Saetrom P, Snøve O Jr, Lundberg C, Rivas GE, Glackin C, Larson GP.

    BMC Bioinformatics. 2008 Jan 28;9:63.PMID: 18226260 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Widespread estrogen-dependent repression of micrornas involved in breast tumor cell growth.

    Maillot G, Lacroix-Triki M, Pierredon S, Gratadou L, Schmidt S, Bénès V, Roché H, Dalenc F, Auboeuf D, Millevoi S, Vagner S.

    Cancer Res. 2009 Nov 1;69(21):8332-40. Epub 2009 Oct 13.PMID: 19826037 [PubMed - indexed for MEDLINE]Related articles

    12.

    MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets.

    Baffa R, Fassan M, Volinia S, O'Hara B, Liu CG, Palazzo JP, Gardiman M, Rugge M, Gomella LG, Croce CM, Rosenberg A.

    J Pathol. 2009 Oct;219(2):214-21.PMID: 19593777 [PubMed - indexed for MEDLINE]Related articles

    13.

    Four miRNAs associated with aggressiveness of lymph node-negative, estrogen receptor-positive human breast cancer.

    Foekens JA, Sieuwerts AM, Smid M, Look MP, de Weerd V, Boersma AW, Klijn JG, Wiemer EA, Martens JW.

    Proc Natl Acad Sci U S A. 2008 Sep 2;105(35):13021-6. Epub 2008 Aug 28.PMID: 18755890 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Aging impacts transcriptomes but not genomes of hormone-dependent breast cancers.

    Yau C, Fedele V, Roydasgupta R, Fridlyand J, Hubbard A, Gray JW, Chew K, Dairkee SH, Moore DH, Schittulli F, Tommasi S, Paradiso A, Albertson DG, Benz CC.

    Breast Cancer Res. 2007;9(5):R59.PMID: 17850661 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    MicroRNA expression and its implications for the diagnosis and therapeutic strategies of breast cancer.

    Shi M, Guo N.

    Cancer Treat Rev. 2009 Jun;35(4):328-34. Epub 2009 Jan 25. Review.PMID: 19171434 [PubMed - indexed for MEDLINE]Related articles

    16.

    Expression and gene copy number analysis of ERBB2 oncogene in prostate cancer.

    Savinainen KJ, Saramäki OR, Linja MJ, Bratt O, Tammela TL, Isola JJ, Visakorpi T.

    Am J Pathol. 2002 Jan;160(1):339-45.PMID: 11786427 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    MicroRNA profile analysis of human prostate cancers.

    Tong AW, Fulgham P, Jay C, Chen P, Khalil I, Liu S, Senzer N, Eklund AC, Han J, Nemunaitis J.

    Cancer Gene Ther. 2009 Mar;16(3):206-16. Epub 2008 Oct 24.PMID: 18949015 [PubMed - indexed for MEDLINE]Related articles

    18.

    Expression of KAI1/CD82 in distant metastases from estrogen receptor-negative breast cancer.

    Christgen M, Christgen H, Heil C, Krech T, Länger F, Kreipe H, Lehmann U.

    Cancer Sci. 2009 Sep;100(9):1767-71. Epub 2009 May 27.PMID: 19549254 [PubMed - indexed for MEDLINE]Related articles

    19.

    High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses.

    Abd El-Rehim DM, Ball G, Pinder SE, Rakha E, Paish C, Robertson JF, Macmillan D, Blamey RW, Ellis IO.

    Int J Cancer. 2005 Sep 1;116(3):340-50.PMID: 15818618 [PubMed - indexed for MEDLINE]Related articles

    20.

    Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures.

    Wirapati P, Sotiriou C, Kunkel S, Farmer P, Pradervand S, Haibe-Kains B, Desmedt C, Ignatiadis M, Sengstag T, Schütz F, Goldstein DR, Piccart M, Delorenzi M.

    Breast Cancer Res. 2008;10(4):R65. Epub 2008 Jul 28.PMID: 18662380 [PubMed - indexed for MEDLINE]Related articlesFree article

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