Deciphering breast cancer prognosis: a novel machine learning-driven model for vascular mimicry signature prediction.

ABSTRACT:

Background

In the ongoing battle against breast cancer, a leading cause of cancer-related mortality among women globally, the urgent need for innovative prognostic markers and therapeutic targets is undeniable. This study pioneers an advanced methodology by integrating machine learning techniques to unveil a vascular mimicry signature, offering predictive insights into breast cancer outcomes. Vascular mimicry refers to the phenomenon where cancer cells mimic blood vessel formation absent of endothelial cells, a trait associated with heightened tumor aggression and diminished response to conventional treatments.

Methods

The study's comprehensive analysis spanned data from over 6,000 breast cancer patients across 12 distinct datasets, incorporating both proprietary clinical da

SUBMITTER: Li X 

PROVIDER: S-EPMC11333250 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature