Factors associated with engraftment success of patient-derived xenografts of breast cancer.

ABSTRACT:

Background

Patient-derived xenograft (PDX) models serve as a valuable tool for the preclinical evaluation of novel therapies. They closely replicate the genetic, phenotypic, and histopathological characteristics of primary breast tumors. Despite their promise, the rate of successful PDX engraftment is various in the literature. This study aimed to identify the key factors associated with successful PDX engraftment of primary breast cancer.

Methods

We integrated clinicopathological data with morphological attributes quantified using a trained artificial intelligence (AI) model to identify the principal factors affecting PDX engraftment.

Results

Multivariate logistic regression analyses demonstrated that several factors, including a high Ki-67 labeling index (Ki-67LI) (

SUBMITTER: Lee J 

PROVIDER: S-EPMC10956311 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature