Artificial Intelligence–Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in RAS Wild-Type Metastatic Colorectal Cancer

Williams, C.J.M. orcid.org/0000-0002-1574-653X, Seligmann, J.F. orcid.org/0000-0003-4379-6005, Elliott, F. et al. (24 more authors) (2021) Artificial Intelligence–Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in RAS Wild-Type Metastatic Colorectal Cancer. Clinical Cancer Research, 27 (12). pp. 3422-3431. ISSN 1078-0432

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Authors/Creators:
Dates:
  • Accepted: 29 March 2021
  • Published (online): 22 April 2021
  • Published: 15 June 2021
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 Pathology and Data Analytics
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Clinical Trials Research (LICTR) (Leeds)
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 09:47
Last Modified: 11 Dec 2023 09:47
Status: Published
Publisher: American Association for Cancer Research
Identification Number: https://doi.org/10.1158/1078-0432.ccr-21-0120
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