Geospatial immune variability illuminates differential evolution of lung adenocarcinoma

AbdulJabbar, K. orcid.org/0000-0002-4411-4435, Raza, S.E.A. orcid.org/0000-0002-1097-1738, Rosenthal, R. et al. (20 more authors) (2020) Geospatial immune variability illuminates differential evolution of lung adenocarcinoma. Nature Medicine, 26 (7). pp. 1054-1062. ISSN 1078-8956

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Item Type: Article
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© 2020 The author(s). This is an author-produced version of a paper subsequently published in Nature Medicine. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Adenocarcinoma of Lung; Antigens, Neoplasm; Biomarkers, Tumor; Carcinoma, Non-Small-Cell Lung; Deep Learning; Exome; Female; Humans; Male; Middle Aged; Mutation; Neoplasm Recurrence, Local; Neoplasm Staging; RNA-Seq; Recurrence; Tumor Microenvironment; Exome Sequencing
Dates:
  • Published: July 2020
  • Published (online): 27 May 2020
  • Accepted: 23 April 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 22 May 2024 11:10
Last Modified: 22 May 2024 11:10
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1038/s41591-020-0900-x
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Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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