Real-World Molecular Subtypes and Characteristics of Breast Cancer in Belgium: Insights from Routinely Collected Data [BE-REAST]

Study type

• Study topic:
  Disease /health condition
• Study type:
  Non-interventional study
• Scope of the study:
  Disease epidemiology
• Data collection methods:
  Secondary use of data

Non-interventional study

• Non-interventional study design:
  Cohort

Study drug and medical condition

• Medical condition to be studied:
  Breast cancer

Population studied

• Short description of the study population:
  Breast cancer patients (all stages) diagnosed between 1 January 2018 and 31 December 2022.
• Estimated number of subjects:
  2000

Study design details

• Study design:
  Multicenter study (n = 3) analyzing routinely collected data from pseudonymized electronic health records (EHRs) using natural language processing (NLP) for unstructured sources. The algorithm mapped variables to a standard terminology, generating OMOP CDM databases, validated per hospital.
• Main study objective:
  - Assess the feasibility of systematically capturing stage and receptor status across hospitals; - Assess contemporary real-world molecular subtype distributions in early and advanced disease (eBC and aBC); - Preliminarily assess subtype stability at progression/relapse
• Setting:
  Belgium, diagnosis between 2018 and 2022