Triple negative breast cancer (TNBC) is characterized by the lack of estrogen and
progesterone receptor expression and lacks HER2 overexpression or gene amplification. It …

Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …

We evaluated ancestry effects on mutation rates, DNA methylation, and mRNA and miRNA
expression among 10,678 patients across 33 cancer types from The Cancer Genome Atlas …

RNA-based, multi-gene molecular assays are available and widely used for patients with ER-
positive/HER2-negative breast cancers. However, RNA-based genomic tests can be costly …

The NanoString RNA counting assay for formalin-fixed paraffin embedded samples is
unique in its sensitivity, technical reproducibility and robustness for analysis of clinical and …

Simple Summary The assessment of tumor-infiltrating lymphocytes (TILs) is gaining
acceptance as a robust biomarker to help predict prognosis and treatment response. We …

Importance Given the widespread use of the 21-gene recurrence score for identifying
candidates for adjuvant chemotherapy, it is important to examine the performance of the …

Background The relationship between germline genetic variation and breast cancer survival
is largely unknown, especially in understudied minority populations who often have poorer …

Deep learning has seen rapid growth in recent years and achieved state-of-the-art
performance in a wide range of applications. However, training models typically requires …

Background Hormone receptor (HR)-positive, HER2/neu-negative breast cancers have a
sustained risk of recurrence up to 20 years from diagnosis. TEAM (Tamoxifen, Exemestane …