High-Density Data Mining To Identify Unique Toxicities Of Adolescent/Young Adult Cancer Treatment: A Report From The Children'S Oncology Group

Background: Adolescent and young adult (AYA) cancer patients, 15-39 years of age, experience excess treatment-related toxicity compared to children. However, the relatively low number of AYAs enrolled on individual Children's Oncology Group (COG) clinical trials limits thorough toxicity analyses. Our objective was to delineate a detailed signature of drug- and dose-specific toxicities experienced by AYAs. We created a novel high-density data informatic method of clustering and analyzing toxicity data across multiple clinical trials that permits the comparison of outcomes in large populations of AYA versus younger cancer patients. In this pilot study, we aggregated four different COG acute lymphoblastic leukemia (ALL) trials to identify new and previously described toxicities that correlated with age and drug exposure, and validated our findings with previously published toxicity data as traditionally reported.