Precision surgery and avoiding over-treatment

A Hosseini1, A L Khoury1, L J Esserman1

  • 1University of California, 1600 Divisadero, 2nd Floor Box 1710, San Francisco, CA 94115, USA.

Insights

Over-diagnosis of low-risk breast cancer is increasing. This review explores using new tools and data to personalize breast cancer care, moving beyond a one-size-fits-all approach for better patient outcomes.

Area of Science:

  • Oncology
  • Breast Cancer Research
  • Personalized Medicine

Background:

  • Increased breast cancer awareness and screening lead to over-diagnosis of low and ultralow-risk cases.
  • Current breast cancer management often employs a one-size-fits-all approach, neglecting individual tumor biology.
  • There is a critical need to optimize targeted therapy delivery for breast cancer patients.

Purpose of the Study:

  • To explore novel tools for precise definition of tumor biology.
  • To advocate for changes in clinical practices based on existing data for personalized breast cancer care.
  • To emphasize the importance of tailoring treatment to individual patient and tumor characteristics.

Main Methods:

  • Review of current literature and clinical practices in breast cancer management.
  • Exploration of emerging technologies for detailed tumor biology assessment.
  • Analysis of existing data to support the shift towards personalized treatment strategies.

Main Results:

  • Identification of over-diagnosis and over-treatment as significant issues in current breast cancer screening and management.
  • Highlighting the potential of new tools to better define tumor biology and guide treatment decisions.
  • Demonstrating the prevalence of a standardized approach despite advancements in personalized medicine.

Conclusions:

  • Personalized breast cancer care is essential, integrating systemic therapy, radiation therapy, ductal carcinoma in situ (DCIS) management, and surgical approaches.
  • Surgeons must be equipped with knowledge to implement personalized strategies for screening and treatment.
  • Optimizing breast cancer care requires a move towards individualized treatment plans reflecting unique tumor characteristics.