Murine breast cancer mastectomy model that predicts patient outcomes for drug development.

ABSTRACT:

Background

Despite massive expenditures in preclinical studies, many breast cancer agents show efficacy in murine models but fail in human trials. In humans, metastatic disease determines survival, but preclinical murine models only evaluate drug efficacy against the primary tumor. We hypothesized that evaluating efficacy against metastatic breast cancer would more efficiently predict efficacy in a murine model than evaluating the primary tumor alone. This study (1) critically evaluated a murine tumor removal model with metastatic tumor burden quantification for breast cancer preclinical trials and (2) validated the model with an agent that previously passed preclinical trials but failed human trials.

Materials and methods

Tumorectomy and Halsted (radical) mastectomy procedu

SUBMITTER: Katsuta E 

PROVIDER: S-EPMC5675042 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature