Computational immunogenomic approaches to predict response to cancer immunotherapies.
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| Title: | Computational immunogenomic approaches to predict response to cancer immunotherapies. |
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| Authors: | Addala V; Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. venkateswar.addala@qimrberghofer.edu.au.; Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia. venkateswar.addala@qimrberghofer.edu.au., Newell F; Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Pearson JV; Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Redwood A; National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia.; Institute of Respiratory Health, Perth, Western Australia, Australia.; School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia., Robinson BW; National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia.; Institute of Respiratory Health, Perth, Western Australia, Australia.; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.; Medical School, University of Western Australia, Perth, Western Australia, Australia., Creaney J; National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia.; Institute of Respiratory Health, Perth, Western Australia, Australia.; School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia.; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia., Waddell N; Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. nic.waddell@qimrberghofer.edu.au.; Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia. nic.waddell@qimrberghofer.edu.au. |
| Source: | Nature reviews. Clinical oncology [Nat Rev Clin Oncol] 2024 Jan; Vol. 21 (1), pp. 28-46. Date of Electronic Publication: 2023 Oct 31. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101500077 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-4782 (Electronic) Linking ISSN: 17594774 NLM ISO Abbreviation: Nat Rev Clin Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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