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Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy
- ↵a sacha.gnjatic{at}mssm.edu
- ↵b vincenzo.bronte{at}univr.it
- ↵c lrb{at}immodulon.com
- ↵d Marcus.Butler{at}uhn.ca
- ↵e ndisis{at}uw.edu
- ↵f jerome.galon{at}crc.jussieu.fr
- ↵g canimguide{at}gmail.com
- ↵h brent.hanks{at}duke.edu
- ↵i vaios.karanikas{at}roche.com
- ↵j skhleif{at}gru.edu
- ↵k kirkwoodjm{at}upmc.edu
- ↵l ldmiller{at}wakehealth.edu
- ↵m d.schendel{at}medigene.com
- ↵n itanneau{at}yahoo.fr
- ↵o wiggintonj{at}macrogenics.com
- ↵p butterfieldl{at}upmc.edu
Citation
Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy
Publication history
- Received November 17, 2016
- Accepted April 26, 2017
- First published May 16, 2017.
Online issue publication
May 16, 2017
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© The Author(s).
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.