Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers.

ABSTRACT: The study of response to cancer treatments has benefited greatly from the contribution of different omics data but their interpretation is sometimes difficult. Some mathematical models based on prior biological knowledge of signaling pathways facilitate this interpretation but often require fitting of their parameters using perturbation data. We propose a more qualitative mechanistic approach, based on logical formalism and on the sole mapping and interpretation of omics data, and able to recover differences in sensitivity to gene inhibition without model training. This approach is showcased by the study of BRAF inhibition in patients with melanomas and colorectal cancers who experience significant differences in sensitivity despite similar omics profiles. We first gather information from

SUBMITTER: Beal J 

PROVIDER: S-EPMC7872233 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature