Cancer care is increasingly informed by molecular alterations that predict therapeutic sensitivity, therapeutic resistance, and prognosis. Clinical and preclinical studies continue to identify alterations that impact clinical decision-making, complicating knowledgebase maintenance. The Molecular Oncology Almanac is an open-access combined knowledge system, genomic interpretation algorithm, and web portal for rapid assessment of tumor actionability. Here we report enhancements in the form of a browser extension built on API endpoints to minimize the burden of evidence curation.

Learning Objective: After participating in this poster presentation, the learner should be better able to:
-Learn challenges and possible solutions for maintaining an up-to-date knowledgebase for precision oncology while minimizing time and effort required


Nicholas Moore (Presenter)
Harvard Medical School

Brendan Reardon, Dana-Farber Cancer Institute
Eric Kofman, Dana-Farber Cancer Institute
Nathanael Moore, Indiana University School of Medicine
Eliezer Van Allen, Dana-Farber Cancer Institute

Presentation Materials: