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Breast Cancer Biomarker Cheat Sheet

Key biomarkers every breast cancer patient should know — what they mean, why they matter, and how they guide treatment decisions.

BiomarkerWhat It Tells YouTypeTreatment Implications
ER (Estrogen Receptor) Whether cancer cells grow in response to estrogen Predictive ER+ tumors respond to endocrine therapy (tamoxifen, aromatase inhibitors)
PR (Progesterone Receptor) Hormone sensitivity; often tested alongside ER Predictive PR+ supports endocrine therapy benefit; PR- may indicate poorer prognosis
HER2 Overexpression of growth-promoting protein Therapeutic HER2+ patients benefit from trastuzumab (Herceptin), pertuzumab, T-DXd, tucatinib
Ki-67 How fast cancer cells are dividing Prognostic High Ki-67 (>20%) suggests aggressive tumor; may indicate chemo benefit
BRCA1 / BRCA2 Inherited DNA repair gene mutations Therapeutic PARP inhibitors (olaparib, talazoparib); platinum-based chemo; family screening
PIK3CA Somatic mutation in PI3K signaling pathway Therapeutic Alpelisib (Piqray) for HR+/HER2- with PIK3CA mutation
PD-L1 Immune checkpoint protein expression Predictive PD-L1+ triple-negative: pembrolizumab (Keytruda) + chemo
Oncotype DX 21-gene recurrence score (0–100) Prognostic Low score (≤25 in most): endocrine therapy alone; high score: add chemo
MammaPrint 70-gene signature classifying genomic risk Prognostic Low-risk: may safely omit chemotherapy; high-risk: chemo recommended
Important: Breast cancer is not one disease — it is classified into subtypes (Luminal A, Luminal B, HER2-enriched, Triple-Negative) based on biomarker status. Your biomarker profile determines which therapies are most likely to work. Always ask your oncologist if comprehensive genomic profiling has been considered.

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