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  • Whole-blood RNA transcript-based models can predict clinical response in two large independent clinical studies of patients with advanced melanoma treated with the checkpoint inhibitor, tremelimumab

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Research Article
Whole-blood RNA transcript-based models can predict clinical response in two large independent clinical studies of patients with advanced melanoma treated with the checkpoint inhibitor, tremelimumab

Authors

  1. ↵a philip.friedlander{at}mssm.edu
  2. ↵b karl.wassmann{at}cpscdx.com
  3. ↵c alan.christenfeld{at}cpscdx.com
  4. ↵d dfisher3{at}mgh.harvard.edu
  5. ↵e chrisann.kyi{at}gmail.com
  6. ↵f kirkwoodJM{at}upmc.edu
  7. ↵g nina.bhardwaj{at}mssm.edu
  8. ↵h william.oh{at}mssm.edu
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Citation

Friedlander P, Wassmann K, Christenfeld AM, et al
Whole-blood RNA transcript-based models can predict clinical response in two large independent clinical studies of patients with advanced melanoma treated with the checkpoint inhibitor, tremelimumab
Journal for ImmunoTherapy of Cancer 2017;5:67. doi: 10.1186/s40425-017-0272-z

Publication history

  • Received May 4, 2017
  • Accepted August 1, 2017
  • First published August 15, 2017.
Online issue publication 
February 09, 2021

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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.