Literature DB >> 15817697

Modeling and simulation of cancer immunoprevention vaccine.

F Pappalardo1, P-L Lollini, F Castiglione, S Motta.   

Abstract

UNLABELLED: We present an in silico model that simulates the immune system responses to tumor cells in naive and vaccinated mice. We have demonstrated the ability of this model to accurately reproduce the experimental results.
MOTIVATION: In vivo experiments on HER-2/neu mice have shown the effectiveness of Triplex vaccine in the protection of mice from mammary carcinoma. Full protection was conferred using chronic (prophylactic) vaccination protocol while therapeutic vaccination was less efficient. Our in silico model was able to closely reproduce the effects of various vaccination protocols. This model is the first step towards the development of in silico experiments searching for optimal vaccination protocols.
RESULTS: In silico experiments carried out on two large statistical samples of virtual mice showed very good agreements with in vivo experiments for all experimental vaccination protocols. They also show, as supported by in vivo experiments, that the humoral response is fundamental in controlling the tumor growth and therefore suggest the selection and timing of experiments for measuring the activity of T cells. CONTACT: francesco@dmi.unict.it SUPPLEMENTARY INFORMATION: http://www.dmi.unict.it/CIG/suppdata_bioinf.html.

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Year:  2005        PMID: 15817697     DOI: 10.1093/bioinformatics/bti426

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  28 in total

1.  Fine-tuning anti-tumor immunotherapies via stochastic simulations.

Authors:  Giulio Caravagna; Roberto Barbuti; Alberto d'Onofrio
Journal:  BMC Bioinformatics       Date:  2012-03-28       Impact factor: 3.169

2.  Pharmacoepidemiology and "in silico" drug evaluation: is there common ground?

Authors:  Til Stürmer; Kenneth J Rothman; Jerry Avorn
Journal:  J Clin Epidemiol       Date:  2008-03       Impact factor: 6.437

3.  Modelling the human immune system by combining bioinformatics and systems biology approaches.

Authors:  Nicolas Rapin; Can Kesmir; Sune Frankild; Morten Nielsen; Claus Lundegaard; Søren Brunak; Ole Lund
Journal:  J Biol Phys       Date:  2006-10-27       Impact factor: 1.365

Review 4.  Addressing current challenges in cancer immunotherapy with mathematical and computational modelling.

Authors:  Anna Konstorum; Anthony T Vella; Adam J Adler; Reinhard C Laubenbacher
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

5.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

Review 6.  Review of the systems biology of the immune system using agent-based models.

Authors:  Snehal B Shinde; Manish P Kurhekar
Journal:  IET Syst Biol       Date:  2018-06       Impact factor: 1.615

7.  Relaxation estimation of RMSD in molecular dynamics immunosimulations.

Authors:  Wolfgang Schreiner; Rudolf Karch; Bernhard Knapp; Nevena Ilieva
Journal:  Comput Math Methods Med       Date:  2012-09-16       Impact factor: 2.238

8.  A novel paradigm for cell and molecule interaction ontology: from the CMM model to IMGT-ONTOLOGY.

Authors:  Francesco Pappalardo; Marie-Paule Lefranc; Pier-Luigi Lollini; Santo Motta
Journal:  Immunome Res       Date:  2010-02-18

9.  Immune control of HIV-1 infection after therapy interruption: immediate versus deferred antiretroviral therapy.

Authors:  Paola Paci; Rossella Carello; Massimo Bernaschi; Gianpiero D'Offizi; Filippo Castiglione
Journal:  BMC Infect Dis       Date:  2009-10-19       Impact factor: 3.090

10.  VaccImm: simulating peptide vaccination in cancer therapy.

Authors:  Joachim von Eichborn; Anna Lena Woelke; Filippo Castiglione; Robert Preissner
Journal:  BMC Bioinformatics       Date:  2013-04-15       Impact factor: 3.169

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