Ritika Kundra, Hongxin Zhang, Robert Sheridan, Sahussapont Joseph Sirintrapun, Avery Wang, Angelica Ochoa, Manda Wilson, Benjamin Gross, Yichao Sun, Ramyasree Madupuri, Baby A Satravada, Dalicia Reales, Efsevia Vakiani, Hikmat A Al-Ahmadie, Ahmet Dogan, Maria Arcila, Ahmet Zehir, Steven Maron, Michael F Berger, Cristina Viaplana, Katherine Janeway, Matthew Ducar, Lynette Sholl, Snjezana Dogan, Philippe Bedard, Lea F Surrey, Iker Huerga Sanchez, Aijaz Syed, Anoop Balakrishnan Rema, Debyani Chakravarty, Sarah Suehnholz, Moriah Nissan, Gopakumar V Iyer, Rajmohan Murali, Nancy Bouvier, Robert A Soslow, David Hyman, Anas Younes, Andrew Intlekofer, James J Harding, Richard D Carvajal, Paul J Sabbatini, Ghassan K Abou-Alfa, Luc Morris, Yelena Y Janjigian, Meighan M Gallagher, Tara A Soumerai, Ingo K Mellinghoff, Abraham A Hakimi, Matthew Fury, Jason T Huse, Aditya Bagrodia, Meera Hameed, Stacy Thomas, Stuart Gardos, Ethan Cerami, Tali Mazor, Priti Kumari, Pichai Raman, Priyanka Shivdasani, Suzanne MacFarland, Scott Newman, Angela Waanders, Jianjiong Gao, David Solit, Nikolaus Schultz
PURPOSE: Cancer classification is foundational for patient care and oncology research. Systems such as International Classification of Diseases for Oncology (ICD-O), Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT), and National Cancer Institute Thesaurus (NCIt) provide large sets of cancer classification terminologies but they lack a dynamic modernized cancer classification platform that addresses the fast-evolving needs in clinical reporting of genomic sequencing results and associated oncology research...
February 2021: JCO Clinical Cancer Informatics