BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment.

ABSTRACT:

Background

In recent years, drug screening has been one of the most significant challenges in the field of personalized medicine, particularly in cancer treatment. However, several new platforms have been introduced to address this issue, providing reliable solutions for personalized drug validation and safety testing. In this study, we developed a personalized drug combination protocol as the primary input to such platforms.

Methods

To achieve this, we utilized data from whole-genome expression profiles of 6173 breast cancer patients, 312 healthy individuals, and 691 drugs. Our approach involved developing an individual pattern of perturbed gene expression (IPPGE) for each patient, which was used as the basis for drug selection. An algorithm was designed to extract personal

SUBMITTER: Mokhtari M 

PROVIDER: S-EPMC10717810 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature