Title |
Checkpoint inhibition for advanced mucosal melanoma
|
---|---|
Published in |
European Journal of Dermatology, April 2017
|
DOI | 10.1684/ejd.2016.2949 |
Pubmed ID | |
Authors |
Julia Thierauf, Johannes A. Veit, Jochen Hess, Nicolai Treiber, Catharina Lisson, Stephanie E. Weissinger, Martin Bommer, Thomas K. Hoffmann |
Abstract |
Whereas anti-PD-1 therapy has demonstrated a significant and durable response against advanced cutaneous melanoma, conventional chemotherapies have shown only minor benefit against advanced mucosal melanoma. To investigate the efficacy of anti-PD-1 therapy in a small cohort of patients with mucosal melanoma of the head and neck. We analysed five patients with mucosal melanoma of the head and neck who received nivolumab or pembrolizumab, at an advanced stage. Expression of PD-L1 and PD-1 in all tumour samples was evaluated immunohistochemically. All patients received at least two cycles of nivolumab or pembrolizumab. The most severe adverse events were categorised as CTCAE (common terminology criteria for adverse events) Grade 2. All patients showed progressive disease after restaging at three and six months, and no partial or complete response was observed. Immunohistochemical staining demonstrated PD-L1 expression in less than 5% of tumour cells. Systemic therapy with either nivolumab or pembrolizumab showed no clinical response, however, tumour progression was identified in all patients using Response Evaluation Criteria In Solid Tumors (RECIST) v1.1 and immune-related response criteria (irRC) to evaluate tumour response. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 8 | 22% |
Student > Ph. D. Student | 5 | 14% |
Student > Bachelor | 3 | 8% |
Student > Master | 3 | 8% |
Student > Doctoral Student | 2 | 6% |
Other | 5 | 14% |
Unknown | 10 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 17 | 47% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Nursing and Health Professions | 1 | 3% |
Energy | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 36% |