The ability to capture data relevant to different types of oncology-related variations, including single nucleotide variations, deletions, insertions, copy number variations, and fusions in a single system is crucial to a comprehensive understanding of cancer biology. However, collectively linking these varied types of molecular alterations to capture their compound impact to clinically relevant efficacy evidence within a database can prove challenging. Thus, we have built the JAX Clinical Knowledgebase (JAX-CKB), a flexible relational database that allows curation of complex molecular profiles and provides the ability to associate these profiles with documented efficacy evidence, thereby providing a more detailed overview of therapeutic relevance. To demonstrate the utility of creating complex molecular signatures in relation to efficacy evidence, the JAX-CKB was queried to first determine the overall degree of efficacy evidence content related to complex profiles. Additionally, two specific types of complex molecular profiles were queried, which included EML4-ALK plus a missense mutation(s) and BRAF V600E plus any type of molecular alteration(s). Within the JAX-CKB, there are 1,383 unique efficacy evidence lines linked to complex molecular profiles. The complex molecular profiles consisting of EML4-ALK and one or more additional missense mutations were associated with 174 unique efficacy evidence lines. Of the 174 lines, 69 were annotated with a resistant response type, while 68 were annotated with a sensitive response type. The combination of BRAF V600E with one or more molecular alterations was linked to 229 unique efficacy evidence lines. The majority of the lines, 118, were specific to a resistant response type and 83 were associated with sensitivity. Comprehensive genomic profiling of cancer patient samples can often reveal complex molecular signatures. The JAX-CKB is an inclusive knowledgebase that allows one to interpret these complex signatures and rapidly identify appropriate targeted therapies, which could be critical in a clinical setting.

Citation Format: Cara M. Statz, Sara E. Patterson, Taofei Yin, Susan M. Mockus. A model for capturing and integrating complex molecular alterations related to clinically relevant efficacy evidence [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2583. doi:10.1158/1538-7445.AM2017-2583

©2017 American Association for Cancer Research.
2017
American Association for Cancer Research.