06 02 Metastasis Luminal A Base Architecture Invasive Breast Carcinoma NST HR+
Abstract
The framework tries to generate quantitative predictions for circulating tumor cell flux contributions(bone 21.2%, lung 17.9%, liver 21.2%, brain 1.0%), clonal divergence timelines (bone→liver→lung→brainevolutionary cascade), and site-specific immune suppression ratios (brain Teff/Treg=0.047 representing 35×suppression). Allong with General mapping of metastic evolution and masic architectural map of each major metastasis that derive from this carcinoma.
Fields of Study & Subjects
Cancer Genomics and Diagnostics
Radiomics and Machine Learning in Medical Imaging
MRI in cancer diagnosis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 January 2026
- Language
- EN