Molecular Signatures, Prognosis & Clinical Applications
Breast cancer is a heterogeneous disease with distinct molecular subtypes, each characterized by unique receptor profiles, treatment responses, and clinical outcomes. Molecular classification has revolutionized personalized treatment strategies.
| Subtype | Prevalence | Prognosis | DFS (months) | OS (months) | 5-Year Survival | Key Treatment |
|---|---|---|---|---|---|---|
| Luminal A | 50-60% | Best | 226.7 | 237.4 | 92-95% | Endocrine therapy |
| Luminal B | 15-20% | Intermediate | 168.3 | 180.2 | 86% (pCR) | Endocrine + Chemotherapy |
| HER2-Enriched | 10-15% | Poor | 113.7 | 125.4 | 92% (pCR) | Anti-HER2 + Chemotherapy |
| Triple-Negative | 12-15% | Poor | 190.3 | 221.6 | 92% (pCR) | Chemotherapy + Immunotherapy |
Molecular subtypes provide precise risk assessment, enabling tailored surveillance and intervention strategies based on individual tumor biology.
Subtype classification guides optimal therapy choices, from endocrine treatment for Luminal A to targeted HER2 therapy and immunotherapy options.
Predictive biomarkers inform treatment response probability, helping oncologists select regimens with highest efficacy for each patient.
Multi-gene assays (Oncotype DX, MammaPrint) refine subtype classification and guide chemotherapy decisions in intermediate-risk patients.
Integration of molecular profiling with clinical factors enables truly personalized treatment strategies, optimizing outcomes while minimizing toxicity.