dc.contributor.author | Humphries, Matthew P. | |
dc.contributor.author | Craig, Stephanie G. | |
dc.contributor.author | Kacprzyk, Rafal | |
dc.contributor.author | Fisher, Natalie C. | |
dc.contributor.author | Bingham, Victoria | |
dc.contributor.author | McQuaid, Stephen | |
dc.contributor.author | Murray, Graeme I. | |
dc.contributor.author | McManus, Damian | |
dc.contributor.author | Turkington, Richard C. | |
dc.contributor.author | James, Jacqueline | |
dc.contributor.author | Salto-Tellez, Manuel | |
dc.date.accessioned | 2020-06-03T09:15:01Z | |
dc.date.available | 2020-06-03T09:15:01Z | |
dc.date.issued | 2020-06-01 | |
dc.identifier.citation | Humphries , M P , Craig , S G , Kacprzyk , R , Fisher , N C , Bingham , V , McQuaid , S , Murray , G I , McManus , D , Turkington , R C , James , J & Salto-Tellez , M 2020 , ' The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation ' , BMC Cancer , vol. 20 , 500 . https://doi.org/10.1186/s12885-020-06987-y | en |
dc.identifier.issn | 1471-2407 | |
dc.identifier.other | PURE: 170338206 | |
dc.identifier.other | PURE UUID: 52c8c039-8912-4066-b667-100b1ebee248 | |
dc.identifier.other | Scopus: 85085910113 | |
dc.identifier.other | WOS: 000538120900001 | |
dc.identifier.other | PubMed: 32487090 | |
dc.identifier.other | ORCID: /0000-0003-3981-2420/work/76973683 | |
dc.identifier.uri | https://hdl.handle.net/2164/14430 | |
dc.description | Acknowledgments The samples used in this research were received from the Northern Ireland Biobank, which has ethical approval to use de-identified tissue samples from the Belfast Health and Social Care Tissue Pathology archive (REC:11/NI/0013). The Northern Ireland Molecular Pathology Laboratory, was responsible for construction of tissue microarrays, slide staining, and scanning. We are grateful to the NVIDIA Corporation for supporting our research via the GPU Grant Program for researchers. The research leading to these results has also received funding from Invest Northern Ireland. The authors thank Mr. Ken Arthur for the construction of the original tissue microarrays used in this study. Funding This study was funded by a CRUK Accelerator Grant (A20256) to JJ and MST. CRUK had no role in the study design, collection, analysis, and interpretation of the data or in the writing of the report. | en |
dc.format.extent | 11 | |
dc.language.iso | eng | |
dc.relation.ispartof | BMC Cancer | en |
dc.rights | © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | Esophageal adenocarcinoma | en |
dc.subject | Immune checkpoint | en |
dc.subject | Multiplex IHC | en |
dc.subject | Image analysis | en |
dc.subject | BIOMARKERS | en |
dc.subject | SURVIVAL | en |
dc.subject | PROGRAMMED DEATH-1 | en |
dc.subject | PROGNOSTIC-SIGNIFICANCE | en |
dc.subject | LARGE COHORT | en |
dc.subject | CANCER | en |
dc.subject | LIGAND 1 EXPRESSION | en |
dc.subject | R Medicine (General) | en |
dc.subject | Genetics | en |
dc.subject | Oncology | en |
dc.subject | Cancer Research | en |
dc.subject | Cancer Research UK | en |
dc.subject | A20256 | en |
dc.subject | Supplementary Data | en |
dc.subject.lcc | R1 | en |
dc.title | The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Applied Medicine | en |
dc.contributor.institution | University of Aberdeen.Institute of Medical Sciences | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1186/s12885-020-06987-y | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85085910113&partnerID=8YFLogxK | en |
dc.identifier.vol | 20 | en |