• 2019-07
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  • 2020-08
  • 2021-03
  • br Li D Xu W Guo Y Xu Y


    [27] Li D, Xu W, Guo Y, Xu Y. Fluctuations induced extinction and stochastic resonance effect in a model of tumor growth with periodic treatment. Phys Lett A 2011;375:886–90.
    [29] Li D, Cheng F. Threshold for extinction and survival in stochastic tumor immune system. Commun Nonlinear Sci Numer Simul 2017;51:1–12.
    [32] Makarov DV, Carter HB. The discovery of prostate specific antigen as a biomarker for the early detection of adenocarcinoma of the prostate. J Urol 2006;176:2383–5.
    [33] Mao X. Stochastic differential equations and applications. UK: Horwood Publishing: Chichester; 2007.
    [37] Rutter EM, Kuang Y. Global dynamics of a model of joint hormone treatment with dendritic cell vaccine for prostate cancer. Discrete Contin Dyn Syst Ser B 2017;22:1001–21.
    [38] So A, Gleave M, Hurtado-Col A, Nelson C. Mechanisms of the development of androgen independence in prostate cancer. cell proliferation and apop-tosis during prostatic tumor xenograft involution and regrowth after castration. World J Urol 2005;23:1–9.
    [39] Shimada T, Aihara K. A nonlinear model with competition between prostate tumor Echinomycin and its application to intermittent androgen suppression therapy of prostate cancer. Math Biosci 2008;214:134–9.
    [41] Swanson KR, True LD, Lin DW, Buhler KR, Vessella R, Murray JD. A quantitative model for the dynamics of serum prostate-specific antigen as a marker for cancerous growth. Am J Pathol 2001;158:2195–9.
    [42] Tanaka G, Hirata Y, Goldenberg SL, Bruchovsky N, Aihara K. Mathematical modeling of prostate cancer growth and its application to hormone therapy. Phil Trans R Soc A 2010;368:5029–44.
    [43] Vollmer TR, Egawa S, Kuwao S, Baba S. The dynamics of prostate specific antigen during watchful waiting of prostate carcinoma. a study of 94 Japanese men. AmCancer Soc 2002;94:1692–8.
    [45] Wei J, Li X. Analysis of a stochastic predator-prey model with Crowley-Martin functional response. IJISSET 2017;3:20–4.
    [46] Zhao Y, Yuan S, Zhang T. The stationary distribution and ergodicity of a stochastic phytoplankton allelopathy model under regime switching. Commun Nonlinear Sci Numer Simul 2016;37:131–42.
    [47] Yang J, Zhao TJ, Yuang CQ, Xie JH, Hao FF. A nonlinear competitive model of the prostate tumor growth under intermittent androgen suppression. J Theor Biol 2016;404:66–72.
    [48] Zhou W, Jiang Y, Ji L, Zhou L, Zhang M, Shen M, Zhao J, Tu H, Wang Z, Wu R, Chen Y, Zhou C, Huang K, Tao Z. Expression profiling of genes in androgen metabolism in androgen-independent prostate cancer cells under an androgen-deprived environment: mechanisms of castration resistance. Int J Clin Exp Pathol 2016;9:8424–31. Accepted Manuscript
    Analysis of microrna expression in brush cytology specimens improves the diagnosis of pancreatobiliary cancer
    To appear in: 
    Please cite this article as: Le N, Fillinger J, Szanyi S, Wichmann B, Nagy ZB, Ivády G, Burai M, Tarpay Á, Pozsár J, Pap Á, Molnár B, Csuka O, Bak M, Tulassay Z, Szmola R, Analysis of microrna expression in brush cytology specimens improves the diagnosis of pancreatobiliary cancer, Pancreatology (2019), doi:
    This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
    Classification: pancreatic cancer
    1 - Department of Interventional Gastroenterology, National Institute of Oncology, Budapest, Hungary; 2 -
    Molecular Gastroenterology Laboratory, 2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary; 3 - Department of Cytopathology, National Institute of Oncology, Budapest, Hungary; 4 - Department of Pathogenetics, National Institute of Oncology, Budapest, Hungary; 5 - School of PhD studies, Semmelweis University, Budapest, Hungary; 6 - Molecular Medicine Research Group, Hungarian Academy of Sciences, Budapest, Hungary
    Running head: microRNA test in brush cytology
    Manuscript type: original article
    Manuscript information: 15 text pages, 3 figures, 4 tables.
    ABSTRACT. Background/Objectives: Malignant pancreatobiliary strictures are in many cases clinically indistinguishable and present a major problem to endoscopy specialists. Intraductal sampling procedures such as brush cytology are commonly used for diagnosis with a sensitivity that is low for a diagnostic test used in daily clinical practice. MicroRNA (miR) alterations detected in many cancers are disease-specific, which can be utilized in clinical applications. The aim of the present study was to analyze whether determination of miR expression levels in intraductal brush cytology specimens is a feasible approach to improve the diagnosis of pancreatobiliary cancer. Methods: Brush cytology specimens have been collected during endoscopic retrograde cholangio-pancreatography (ERCP) prospectively and analyzed by routine cytology and ancillary miR assays. Total RNA was extracted using the miRNeasy Mini Kit and the expression of miRs frequently dysregulated in pancreatobiliary cancer (miR-16, miR-21, miR-196a, miR-221) were analyzed by quantitative real-time PCR using RNU6B as internal control. Results: Routine cytology resulted in no false positive diagnoses, however, the combined sensitivity remained at 53.8%. Expression (∆Ct values) of miR-16 (p=0.0039), miR-196a (p=0.0003) and miR-221 (p=0.0049) showed a clear statistical significance between malignant and benign pancreatobiliary specimens (n=35). Malignancy could be detected combining routine cytology and the miR-196a single marker expression levels with a sensitivity of 84.6% (92.9% in biliary strictures) with no false positives. Conclusions: The results offer the first direct demonstration that microRNAs are readily detectable in brush cytology specimens obtained during ERCP, and have the potential to help the cytological diagnosis of pancreatobiliary malignancy.