Computational image analysis of T-cell infiltrates in resectable gastric cancer: association with survival and molecular subtypes

Challoner, BR, von Loga, K, Woolston, A et al. (13 more authors) (2020) Computational image analysis of T-cell infiltrates in resectable gastric cancer: association with survival and molecular subtypes. Journal of the National Cancer Institute. djaa051. ISSN 0027-8874

Abstract

Metadata

Authors/Creators:
  • Challoner, BR
  • von Loga, K
  • Woolston, A
  • Griffiths, B
  • Sivamanoharan, N
  • Semiannikova, M
  • Newey, A
  • Barber, LJ
  • Mansfield, D
  • Hewitt, LC
  • Saito, Y
  • Davarzani, N
  • Starling, N
  • Melcher, A
  • Grabsch, H ORCID logo https://orcid.org/0000-0001-9520-6228
  • Gerlinger, M
Copyright, Publisher and Additional Information: ©The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non‐Commercial License (http://creativecommons.org/licenses/by‐nc/4.0/), which permits non‐commercial re‐use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re‐use, please contact journals.permissions@oup.com
Dates:
  • Accepted: 31 March 2020
  • Published (online): 23 April 2020
Institution: The University of Leeds
Depositing User: Symplectic Publications
Date Deposited: 28 Apr 2020 09:18
Last Modified: 12 May 2020 05:26
Status: Published online
Publisher: Oxford University Press
Identification Number: https://doi.org/10.1093/jnci/djaa051

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