J. Pers. Med. 2014, 4, 475-488; doi:10.3390/jpm4040475 Journal of Personalized Medicine ISSN 2075-4426 www.mdpi.com/journal/jpm/ Article Promoting Precision Cancer Medicine through a Community-Driven Knowledgebase Nophar Geifman 1,2, *, Izhak Haviv 3 , Razelle Kurzrock 4 and Eitan Rubin 1,2 1 Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben Gurion University, Beersheva 8410501, Israel; E-Mail: erubin@bgu.ac.il 2 National Institute of Biotechnology in Negev, Ben Gurion University, Beersheva 8410501, Israel 3 Faculty of Medicine in the Galilee, Bar Ilan University, Ramat Gan 52900, Israel; E-Mail: izhak.haviv@biu.ac.il 4 Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Moores Cancer Center, UC San Diego, La Jolla, CA 92093, USA; E-Mail: rkurzrock@ucsd.edu * Author to whom correspondence should be addressed; E-Mail: geifman@stanford.edu; Tel.: +1-650-725-1337; Fax: +1-650-723-7070. External Editor: Dr. Stephen B. Liggett Received: 10 June 2014; in revised form: 23 October 2014 / Accepted: 5 December 2014 / Published: 15 December 2014 Abstract: Increasing efforts are being dedicated towards improving cancer care via personalized medicine. These efforts depend to a large degree on the availability of a knowledge foundation. Unfortunately, existing knowledge linking cancer drugs and potential efficacy biomarkers is in its infancy; and where links are known, they are frequently unstructured and poorly documented. We have developed a new open-access knowledgebase for precision cancer medicine (the PCM Wiki and Knowledgebase). This knowledgebase was constructed using an innovative, two-pronged approach involving a structured knowledgebase at the back-end, and an intuitive knowledge-sharing interface and user-friendly query engine in front. The knowledgebase was seeded with several patient case reports and information was mined via text-mining and literature review by human curators. Using our novel Wiki-based platform to present and share knowledge stored in the PCM knowledgebase, users are able to suggest corrections, propose additions or point to errors in the knowledgebase. The result is a community-driven evolving knowledgebase holding OPEN ACCESS