Breast Cancer Treatment Studies

This study identifies HspA1B as a prognostic biomarker in breast cancer and shows its correlation with immune infiltrates across multiple cancer types.

The paper identifies claudin-low-like mouse mammary tumors with transcriptomic similarities to human claudin-low breast cancer, but no specific genomic drivers distinguish them.

This study evaluates the genomic similarity between breast cancer cell lines and metastatic samples, finding significant differences and highlighting organoids as better models.

The paper identifies somatic mutations with prognostic effects in ER+ breast cancer using genomic data from multiple cohorts.

The paper reparameterizes PAM50 gene expression into tumor dimensions and identifies a breast cancer susceptibility locus at 12q15 through genetic analysis of high-risk pedigrees.

The paper develops and validates M2EFM, a methylation-to-expression model, to predict breast cancer outcomes across multiple cohorts with good accuracy and clinical utility.