Breast Cancer Treatment Studies

Breast cancer is not a single disease but a collection of molecularly distinct subtypes, each defined by characteristic patterns of gene expression and hormone receptor activity that shape how tumors behave and respond to treatment. Researchers in this area work to identify prognostic markers — measurable biological signals that predict whether a patient's cancer is likely to recur or spread — and to understand why some tumors respond well to neoadjuvant therapy or radiotherapy while others do not. A central challenge is translating molecular profiles into reliable clinical guidelines that can guide treatment decisions before surgery, sparing patients from ineffective regimens and unnecessary side effects. Active work is focused on refining the classification of molecular subtypes, discovering new biomarkers that predict treatment response with greater precision, and integrating genomic data into standard care.

Works

120,880

Total citations

2,030,868

Keywords

Gene ExpressionBreast TumoursTreatment ResponseMolecular SubtypesPrognostic MarkersNeoadjuvant Therapy