Genomic analyses in cancer have been enormously impactful, leading to the identification of
driver mutations and development of targeted therapies. But the functions of the vast majority …

Cancer classification aims to provide an accurate diagnosis of the disease and prediction of
tumor behavior to facilitate oncologic decision making. Traditional breast cancer …

The claudin-low breast cancer subtype is defined by gene expression characteristics and
encompasses a remarkably diverse range of breast tumors. Here, we investigate genomic …

In the preceding decades, molecular characterization has revolutionized breast cancer (BC)
research and therapeutic approaches. Presented herein, an unbiased analysis of breast …

Basal-like breast cancer (BLBC) is the most aggressive subtype of breast tumors with poor
prognosis and limited molecular-targeted therapy options. We show that BLBC cells have a …

Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical
practice guidelines typically define a set of recommendations together with eligibility criteria …

Machine learning (ML) has the potential to transform oncology and, more broadly, medicine.
1 The introduction of ML in health care has been enabled by the digitization of patient data …

Multigene assays for molecular subtypes and biomarkers can aid management of early
invasive breast cancer. Using RNA-sequencing we aimed to develop single-sample …

Introduction: Breast cancer subtypes are currently defined by a combination of morphologic,
genomic, and proteomic characteristics. These subtypes provide a molecular portrait of the …

Long non-coding RNAs (lncRNAs) are involved in breast cancer pathogenesis through
chromatin remodeling, transcriptional and post-transcriptional gene regulation. We report …