Challenges and Opportunities for Real-World Evidence in Metastatic Luminal Breast Cancer

Area of Science:

• Oncology
• Translational Research
• Real-World Data Analysis

Background:

• Therapeutic options for metastatic breast cancer are increasingly specialized.
• Clinical trial recommendations do not cover all treatment scenarios or patient subgroups.
• Real-world data collection is crucial for comprehensive treatment guidance.

Purpose of the Study:

• Establish the Prospective Academic Translational Research PRAEGNANT Network to optimize oncological care for metastatic breast cancer.
• Systematically record real-life medical care, treatment outcomes, and side effects.
• Monitor quality-of-life changes and identify patients for clinical studies.

Main Methods:

• Establishment of the PRAEGNANT network for systematic data collection.
• Recording of medical care, treatment outcomes, and side effects in a real-life setting.
• Monitoring quality-of-life and identifying patients for clinical trials based on molecular tumor characteristics.

Main Results:

• The PRAEGNANT network facilitates the systematic recording of real-world data for metastatic breast cancer patients.
• Data collected includes treatment strategies, outcomes, side effects, and quality-of-life.
• The network aims to enable targeted therapies based on molecular tumor profiles.

Conclusions:

• The PRAEGNANT network is designed to enhance oncological care for metastatic breast cancer patients.
• It addresses the need for real-world data to complement clinical trial findings.
• The network evaluates the transferability of clinical trial endpoints to real-world treatment scenarios.