Breast cancer is the most common cancer among women worldwide. Due to its complexity in
nature, effective breast cancer treatment can encounter many challenges. Traditional …

Breast carcinoma comprises a group of diseases with specific clinical, histopathologic and
molecular properties. Traditional classification use morphology to divide tumors into …

Single-cell RNA-sequencing (scRNA-seq) technology provides a new avenue to discover
and characterize cell types; however, the experiment-specific technical biases and analytic …

Purpose: To compare clinical, immunohistochemical (IHC), and gene expression models of
prognosis applicable to formalin-fixed, paraffin-embedded blocks in a large series of …

Cluster analysis refers to a wide range of data analytic techniques for class discovery and is
popular in many application fields. To assess the quality of a clustering result, different …

Purpose Mutations in the BRCA1 and BRCA2 genes confer greater risk of develo** breast
cancer. We determined whether tumor pathologic features and clinical features differ in …

The basal molecular subtype of breast cancer (BC) is defined by the mRNA expression
pattern of an intrinsic∼ 500‐gene set. It is the most homogeneous subtype in transcriptional …

We report that knocking down the expression of inositol polyphosphate 4-phosphatase type
II (INPP4B) in human epithelial cells, like knockdown of PTEN, resulted in enhanced Akt …

Abstract Background Single sample predictors (SSPs) and Subtype classification models
(SCMs) are gene expression–based classifiers used to identify the four primary molecular …

Triple-negative (ER-negative, PR-negative, HER2/neu not overexpressed) breast cancer
has distinct clinical and pathologic features, and is a clinical problem because of its …