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  • In silico trials predict that combination strategies for enhancing vesicular stomatitis oncolytic virus are determined by tumor aggressivity

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Clinical/translational cancer immunotherapy
Original research
In silico trials predict that combination strategies for enhancing vesicular stomatitis oncolytic virus are determined by tumor aggressivity

Authors

  • Adrianne L Jenner Sainte-Justine University Hospital Research Centre, Montreal, Quebec, CanadaDepartment of Mathematics and Statistics, Université de Montréal, Montreal, Quebec, Canada PubMed articlesGoogle scholar articles
  • Tyler Cassidy Department of Mathematics and Statistics, McGill University, Montreal, Quebec, CanadaTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, USA PubMed articlesGoogle scholar articles
  • Katia Belaid Department of Mathematics and Statistics, Université de Montréal, Montreal, Quebec, CanadaStatistique et Informatique Décisionnelle, Université Toulouse III Paul Sabatier, Toulouse, Occitanie, France PubMed articlesGoogle scholar articles
  • Marie-Claude Bourgeois-Daigneault Institut du Cancer de Montréal, CHUM, Montreal, Quebec, CanadaDepartment of Microbiology, Infectious diseases and Immunology, Université de Montréal, Montreal, Quebec, Canada PubMed articlesGoogle scholar articles
  • Morgan Craig Sainte-Justine University Hospital Research Centre, Montreal, Quebec, CanadaDepartment of Mathematics and Statistics, Université de Montréal, Montreal, Quebec, Canada PubMed articlesGoogle scholar articles

Citation

Jenner AL, Cassidy T, Belaid K, et al
In silico trials predict that combination strategies for enhancing vesicular stomatitis oncolytic virus are determined by tumor aggressivity
Journal for ImmunoTherapy of Cancer 2021;9:e001387. doi: 10.1136/jitc-2020-001387
Online issue publication 
January 26, 2023

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© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.