Artificial intelligence-assisted evaluation of tumor infiltrating CD3+ and CD8+ T cells for prognostication and prediction of benefit from adjuvant chemotherapy in early stage colorectal cancer (CRC): A retrospective analysis of the QUASAR trial.

Williams, C. orcid.org/0000-0002-1574-653X, Gray, R.G., Shires, M. et al. (17 more authors) (2023) Artificial intelligence-assisted evaluation of tumor infiltrating CD3+ and CD8+ T cells for prognostication and prediction of benefit from adjuvant chemotherapy in early stage colorectal cancer (CRC): A retrospective analysis of the QUASAR trial. In: Journal of Clinical Oncology. 2023 ASCO Gastrointestinal Cancers Symposium, 19-21 Jan 2023, San Francisco, USA. American Society of Clinical Oncology , p. 204.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Williams, C. ORCID logo https://orcid.org/0000-0002-1574-653X
  • Gray, R.G.
  • Shires, M.
  • Zhang, L.
  • Zhao, Z.
  • Bai, I.
  • Yan, D.
  • Dance, S.
  • Aghaei, F.
  • Hemmings, G.
  • Hale, M.
  • Kurkure, U.
  • Guetter, C.
  • Richman, S.D.
  • Hutchins, G.
  • Seligmann, J.F.
  • West, N.
  • Singh, S.
  • Shanmugam, K.
  • Quirke, P.
Dates:
  • Published: 1 February 2023
  • Published (online): 24 January 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Oncology
Depositing User: Symplectic Publications
Date Deposited: 11 Dec 2023 10:13
Last Modified: 11 Dec 2023 10:13
Status: Published
Publisher: American Society of Clinical Oncology
Identification Number: 10.1200/jco.2023.41.4_suppl.204
Open Archives Initiative ID (OAI ID):

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