Brain metastases are a feared complication of breast cancer, occurring in 15-25% of patients and being associated with poor prognosis and reduced quality of life. Magnetic resonance imaging (MRI) is an advanced technique that uses powerful magnetic fields and radio waves to produce detailed three-dimensional (3D) images of the brain's neuroanatomy and any potential pathology, especially in the management of brain metastases. 

Cryoablation of breast cancer offers an alternative to surgery for women who are not ideal surgical candidates. It is a minimally invasive procedure that has already had success in fibroadenoma treatment with good tumor reduction and cosmesis. The findings of cryoablation as treatment for early-stage, low-risk breast cancer has been previously discussed in the recently published article ‘Cryoablation: A promising non-operative therapy for low-risk breast cancer’.

Eight protein biomarkers (ER, PR, HER2, Cyclin A2, Cytokeratin 5, Vimentin, Bcl2, and Ki-67) were evaluated using tissue microarrays (TMAs) and immunohistochemistry (IHC). The IHC results from TMAs were analyzed by both supervised and unsupervised clustering methods. The predictive clusters for the supervised and unsupervised methods were compared for agreement with the empirical classification. Kappa values were used to determine the overall percent correct clusters and agreement between specific clusters.

The prospect of precision or personalized medicine has revived the entire field of predictive drug testing originally pursued in clonogenic assays and soft agar colony forming assays some four decades ago. In particular, the human breast and its derived tumors, while relatively trivial in composition, have proven enormously difficult to establish and interpret ex vivo.

Background: Locally advanced (stage III) breast cancer has high local recurrence and distant metastasis rates and its prognosis is poor. Multimodal local treatment consisting of surgery/radiotherapy after chemotherapy is generally recommended.