Computational Cancer Cell Models to Guide Precision Breast Cancer Medicine.

ABSTRACT:

Background

Large-scale screening of drug sensitivity on cancer cell models can mimic in vivo cellular behavior providing wider scope for biological research on cancer. Since the therapeutic effect of a single drug or drug combination depends on the individual patient's genome characteristics and cancer cells integration reaction, the identification of an effective agent in an in vitro model by using large number of cancer cell models is a promising approach for the development of targeted treatments. Precision cancer medicine is to select the most appropriate treatment or treatments for an individual patient. However, it still lacks the tools to bridge the gap between conventional in vitro cancer cell models and clinical patient response to inhibitors.

Methods

An optimal two

SUBMITTER: Cheng L 

PROVIDER: S-EPMC7140855 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature