Title |
Increased FDG avidity in lymphoid tissue associated with response to combined immune checkpoint blockade
|
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Published in |
Journal for Immunotherapy of Cancer, September 2016
|
DOI | 10.1186/s40425-016-0162-9 |
Pubmed ID | |
Authors |
Katy K. Tsai, Miguel H. Pampaloni, Charity Hope, Alain P. Algazi, Britt-Marie Ljung, Laura Pincus, Adil I. Daud |
Abstract |
Antibodies against programmed death 1 (PD-1) receptor and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) have transformed the systemic treatment of melanoma and many other cancers. Understanding the spectrum of benign findings and atypical response patterns seen in immune checkpoint blockade is important for accurately assessing treatment response as these immunotherapies become more widely used. We report a 63-year-old man with metastatic melanoma successfully treated with combination CTLA-4 and PD-1 blockade (ipilimumab and nivolumab), after non-response to pembrolizumab monotherapy. The initial impression of disease progression, based on cutaneous and PET/CT findings of increased fluoro-2-deoxy-D-glucose (FDG) uptake in benign lymphoid tissue, proved to be erroneous after assiduous review of radiographic imaging and correlative pathology. These findings indicate that increased FDG uptake in benign lymphoid tissue seen on PET/CT may be a surrogate marker of immune activation and treatment response. Prospective studies will be invaluable in validating immune-related radiographic findings as a prognostic biomarker of response in cancer patients being treated with immune checkpoint blockade. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Israel | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 2% |
Unknown | 44 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 8 | 18% |
Student > Bachelor | 8 | 18% |
Researcher | 6 | 13% |
Student > Ph. D. Student | 5 | 11% |
Professor | 3 | 7% |
Other | 8 | 18% |
Unknown | 7 | 16% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 19 | 42% |
Biochemistry, Genetics and Molecular Biology | 4 | 9% |
Agricultural and Biological Sciences | 3 | 7% |
Immunology and Microbiology | 2 | 4% |
Neuroscience | 2 | 4% |
Other | 5 | 11% |
Unknown | 10 | 22% |