Predicting breast cancer drug response using a multiple-layer cell line drug response network model.

ABSTRACT:

Background

Predicting patient drug response based on a patient's molecular profile is one of the key goals of precision medicine in breast cancer (BC). Multiple drug response prediction models have been developed to address this problem. However, most of them were developed to make sensitivity predictions for multiple single drugs within cell lines from various cancer types instead of a single cancer type, do not take into account drug properties, and have not been validated in cancer patient-derived data. Among the multi-omics data, gene expression profiles have been shown to be the most informative data for drug response prediction. However, these models were often developed with individual genes. Therefore, this study aimed to develop a drug response prediction model for BC usin

SUBMITTER: Huang S 

PROVIDER: S-EPMC8166022 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature