Title |
Merkel Cell Carcinoma, Version 1.2018, NCCN Clinical Practice Guidelines in Oncology.
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Published in |
Journal of the National Comprehensive Cancer Network (JNCCN), June 2018
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DOI | 10.6004/jnccn.2018.0055 |
Pubmed ID | |
Authors |
Christopher K Bichakjian, Thomas Olencki, Sumaira Z Aasi, Murad Alam, James S Andersen, Rachel Blitzblau, Glen M Bowen, Carlo M Contreras, Gregory A Daniels, Roy Decker, Jeffrey M Farma, Kris Fisher, Brian Gastman, Karthik Ghosh, Roy C Grekin, Kenneth Grossman, Alan L Ho, Karl D Lewis, Manisha Loss, Daniel D Lydiatt, Jane Messina, Kishwer S Nehal, Paul Nghiem, Igor Puzanov, Chrysalyne D Schmults, Ashok R Shaha, Valencia Thomas, Yaohui G Xu, John A Zic, Karin G Hoffmann, Anita M Engh |
Abstract |
This selection from the NCCN Guidelines for Merkel Cell Carcinoma (MCC) focuses on areas impacted by recently emerging data, including sections describing MCC risk factors, diagnosis, workup, follow-up, and management of advanced disease with radiation and systemic therapy. Included in these sections are discussion of the new recommendations for use of Merkel cell polyomavirus as a biomarker and new recommendations for use of checkpoint immunotherapies to treat metastatic or unresectable disease. The next update of the complete version of the NCCN Guidelines for MCC will include more detailed information about elements of pathology and addresses additional aspects of management of MCC, including surgical management of the primary tumor and draining nodal basin, radiation therapy as primary treatment, and management of recurrence. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 8 | 19% |
Researcher | 6 | 14% |
Student > Bachelor | 4 | 9% |
Student > Master | 4 | 9% |
Student > Doctoral Student | 3 | 7% |
Other | 8 | 19% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 53% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Computer Science | 2 | 5% |
Other | 3 | 7% |
Unknown | 9 | 21% |