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

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 eng...

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Bibliographic Details
Main Authors: Jongwon Lee, GunHee Lee, Hye Seon Park, Byung-Kwan Jeong, Gyungyub Gong, Jae Ho Jeong, Hee Jin Lee
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Breast Cancer Research
Subjects:
Breast cancer
Patient-derived xenograft
Engraftment
Deep learning
Artificial intelligence
Morphometrics
Online Access:https://doi.org/10.1186/s13058-024-01794-w

Internet

https://doi.org/10.1186/s13058-024-01794-w

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