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  • br Owolabi KM Atangana A Analysis

    2019-10-07


    [13] Owolabi KM, Atangana A. Analysis of mathematics and numerical pattern for-mation in superdiffusive fractional multicomponent system. Adv Appl Math Mech 2017;9(6):1438–60.
    [14] Kumar S, Kumar A, Baleanu D. Two analytical methods for time-fractional non-linear coupled Boussinesq–Burger’s equations arise in propagation of shallow water waves. Nonlinear Dyn 2016;85(2):699–715.
    [15] Hristov J. Electrical circuits of non-integer order: Introduction to an emerging
    interdisciplinary area with examples. In: Analysis and simulation of electrical
    [16] Khader M, Kumar S, Abbasbandy S. Fractional homotopy analysis transforms method for solving a fractional heat-like physical model. Walailak J Sci Technol 2015;13(5):337–53.
    [17] Hristov J. Derivatives with non-singular kernels from the Caputo–Fabrizio def-inition and beyond: appraising analysis with emphasis on P 22077 models. Frontiers 2017;1:270–342. 
    [19] Odibat Z, Kumar S. A robust computational algorithm of homotopy asymptotic method for solving systems of fractional differential equations. J Comput Non-linear Dyn 2019;14(8):1–8.
    [20] Rahimi Z, Sumelka W, Yang XJ. A new fractional nonlocal model and its appli-cation in free vibration of Timoshenko and Euler-Bernoulli beams. Eur Phys J Plus 2017;132(11):1–16.
    [21] Kumar S. A new mathematical model for nonlinear wave in a hypere-lastic rod and its analytic approximate solution. Walailak J Sci Technol 2014;11(11):965–73.
    [22] Saad KM. An approximate analytical solution of coupled nonlinear fractional diffusion equations. J Fract Calculus Appl 2014;5(1):58–72.
    [24] Atangana A, Alqahtani RT. Tumour model with intrusive morphology, progressive phenotypical heterogeneity and memory. Eur Phys J Plus 2018;133(3):1–10.
    [26] Sardar T, Rana S, Bhattacharya S, Al-Khaled K, Chattopadhyay J. A generic model for a single strain mosquito-transmitted disease with memory on the host and the vector. Math Biosci 2015;263:18–36.
    [28] Koca I. Analysis of rubella disease model with non-local and non-singular frac-tional derivatives. Int J OptimControl 2018;8(1):17–25.
    [30] Toufik M, Atangana A. New numerical approximation of fractional derivative with non-local and non-singular kernel: application to chaotic models. Eur Phys J Plus 2017;132(10):1–16.
    [33] Atangana A, Jain S. The role of power decay, exponential decay and Mittag-Lef-fler function’s waiting time distribution: application of cancer spread. Physica A 2018;512:330–51.
    A Genetic Variant of rs145204276 in the Promoter Region of Long Noncoding RNA GAS5 Is Associated With a Reduced Risk of Breast Cancer
    Yiyin Tang, Yishan Wang, Xi Wang, Yang Liu, Kai Zheng
    Abstract
    The growth arrest-specific 5 (GAS5) rs145204276 AGGCA/- polymorphism was analyzed in 575 patients with sporadic breast cancer (BC) and 602 controls to test the association between the polymorphism and BC risk. The rs145204276 del allele might protect against the development of BC via inducing the promoter activity by binding to transcriptional factor specificity protein 1, and finally resulting in higher levels of GAS5.
    Introduction: Growth arrest-specific 5 (GAS5), downregulated in breast cancer (BC), functions as a tumor suppressor by affecting tumor growth and cell apoptosis in vivo and in vitro. This study was designed to determine whether an insertion (ins)/deletion (del) polymorphism (rs145204276 AGGCA/-) in the promoter region of GAS5 was a suscepti-bility gene to the occurrence of BC. Patients and Methods: A hospital-based case-control study was conducted and the GAS5 rs145204276 genotype was analyzed in 575 sporadic BC patients and 602 controls to test the association between the polymorphism and BC risk. Further functional analysis was performed to evaluate the effect of the polymorphism on the promoter activity and GAS5 expression levels using quantitative polymerase chain reaction and dual luciferase reporter assay. Results: The prevalence of BC was lower in carriers with rs145204276 ins/del and del/ del genotypes compared with those with ins/ins genotype (adjusted odds ratio [OR], 0.74; 95% confidence interval [CI], 0.58-0.92; P ¼ .009). An allelic test for association with BC was also significant (del vs. ins: adjusted OR, 0.78; 95% CI, 0.65-0.93; P ¼ .007). Genotype-phenotype analysis revealed that individuals with rs145204276 ins/del and del/del genotypes expressed significantly higher levels of GAS5. Luciferase reporter analysis revealed that rs145204276 del allele enhanced the promoter activity of GAS5. Conclusion: The rs145204276 del allele might protect against the development of BC via inducing the promoter activity by binding to transcriptional factor specificity protein 1, and finally resulting in higher levels of GAS5.