Inconsistencies in modeling the efficacy of the oncolytic virus HSV1716 reveal potential predictive biomarkers for tolerability

Howard, F. orcid.org/0000-0001-9899-3079, Conner, J., Danson, S. orcid.org/0000-0002-3593-2890 et al. (1 more author) (2022) Inconsistencies in modeling the efficacy of the oncolytic virus HSV1716 reveal potential predictive biomarkers for tolerability. Frontiers in Molecular Biosciences, 9. 889395.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: oncolytic virotherapy; preclinical modeling; T helper cells; tolerability; biomarker
Dates:
  • Accepted: 10 May 2022
  • Published (online): 15 June 2022
  • Published: 15 June 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
Cancer Research UKC25574/A24321
European Commission - HORIZON 2020777682
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jul 2022 14:01
Last Modified: 05 Jul 2022 14:01
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: https://doi.org/10.3389/fmolb.2022.889395
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