OncoTree: A Cancer Classification System for Precision Oncology

2021141 citationsJournal Articlegreen Open Access

Authors

Ritika Kundra · Memorial Sloan Kettering Cancer Center

Hongxin Zhang · Memorial Sloan Kettering Cancer Center

Robert P. Sheridan · Memorial Sloan Kettering Cancer Center

S. Joseph Sirintrapun · Memorial Sloan Kettering Cancer Center

Avery Wang · Memorial Sloan Kettering Cancer Center

Angelica Ochoa · Memorial Sloan Kettering Cancer Center

Manda Wilson

Abstract

OncoTree is a dynamic and flexible community-driven cancer classification platform encompassing rare and common cancers that provides clinically relevant and appropriately granular cancer classification for clinical decision support systems and oncology research.

Topics & Keywords

Cancer Genomics and Diagnostics Lung Cancer Treatments and Mutations Biomedical Text Mining and Ontologies

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: JCO Clinical Cancer Informatics

Volume 5, Issue 5, pp. 221-230

DOI: 10.1200/cci.20.00108

Field-Weighted Citation Impact: 8.66