Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer.

ABSTRACT:

Background

Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the urgent need for innovative prognostic tools to improve treatment strategies. Anoikis, a form of programmed cell death critical in preventing metastasis, plays a pivotal role in breast cancer progression.

Methods

This study introduces the Artificial Intelligence-Derived Anoikis Signature (AIDAS), a novel machine learning-based prognostic tool that identifies key anoikis-related gene patterns in breast cancer. AIDAS was developed using multi-cohort transcriptomic data and validated through immunohistochemistry assays on clinical samples to ensure robustness and broad applicability.

Results

AIDAS outperformed existing prognostic models in accurately predicting breast canc

SUBMITTER: Guo X 

PROVIDER: S-EPMC11621045 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature