Supplemental material
OncoImmunology
Volume 7, 2018 - Issue 7
Original Research
Large-scale database mining reveals hidden trends and future directions for cancer immunotherapy
Jakob Nikolas KatherDepartment of Medical Oncology and Internal Medicine VI, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany;Heidelberg Site, German Cancer Consortium (DKTK), Heidelberg, Germany;Clinical Cooperation Unit Applied Tumor Immunity, D120, German Cancer Research Center (DKFZ), Heidelberg, Germany
http://orcid.org/0000-0002-3730-5348 http://orcid.org/0000-0002-3730-5348 http://orcid.org/0000-0002-3730-5348
http://orcid.org/0000-0002-3730-5348 http://orcid.org/0000-0002-3730-5348 http://orcid.org/0000-0002-3730-5348 , , , Meggy Suarez-CarmonaDepartment of Medical Oncology and Internal Medicine VI, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany;Clinical Cooperation Unit Applied Tumor Immunity, D120, German Cancer Research Center (DKFZ), Heidelberg, Germanyhttp://orcid.org/0000-0002-8892-1546
http://orcid.org/0000-0002-8892-1546, , Nektarios A. ValousDepartment of Medical Oncology and Internal Medicine VI, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany;Clinical Cooperation Unit Applied Tumor Immunity, D120, German Cancer Research Center (DKFZ), Heidelberg, Germanyhttp://orcid.org/0000-0002-4014-2404
http://orcid.org/0000-0002-4014-2404, , & show all