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Research Article
Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma

Authors

  • Pok Fai Wong Department of PathologyYale School of Medicine 06510 New Haven CT USA Yale Cancer CenterYale School of Medicine 06510 New Haven CT USA PubMed articlesGoogle scholar articles
  • Wei Wei Department of BiostatisticsYale School of Public Health 06510 New Haven CT USA PubMed articlesGoogle scholar articles
  • Swati Gupta Department of PathologyYale School of Medicine 06510 New Haven CT USA Yale Cancer CenterYale School of Medicine 06510 New Haven CT USA PubMed articlesGoogle scholar articles
  • James W. Smithy Department of PathologyYale School of Medicine 06510 New Haven CT USA Yale Cancer CenterYale School of Medicine 06510 New Haven CT USA PubMed articlesGoogle scholar articles
  • Daniel Zelterman Department of BiostatisticsYale School of Public Health 06510 New Haven CT USA PubMed articlesGoogle scholar articles
  • Harriet M. Kluger Yale Cancer CenterYale School of Medicine 06510 New Haven CT USA Section of Medical Oncology, Department of Internal MedicineYale School of Medicine 06510 New Haven CT USA PubMed articlesGoogle scholar articles
  • David L. Rimm Department of PathologyYale School of Medicine 06510 New Haven CT USA Yale Cancer CenterYale School of Medicine 06510 New Haven CT USA Section of Medical Oncology, Department of Internal MedicineYale School of Medicine 06510 New Haven CT USA Department of PathologyYale School of Medicine 310 Cedar St, BML 116, PO Box 208023 06520 New Haven CT USA PubMed articlesGoogle scholar articles

Citation

Wong PF, Wei W, Gupta S, et al
Multiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma
Journal for ImmunoTherapy of Cancer 2019;7:194. doi: 10.1186/s40425-019-0675-0
Online issue publication 
February 19, 2023

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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.