Development and Evaluation of a Web-Based Outcome Database for Advanced Melanoma with Rare BRAF Mutations

Susanne Dugas-Breit1, Christian Menzer1, Christian U Blank2

  • 1Department of Dermatology and National Center for Tumor Diseases (NCT), Heidelberg University, Medical Faculty Heidelberg, NCT Heidelberg, a partnership between DKFZ and University Hospital Heidelberg, Heidelberg, Germany.

PubMed

Insights

A new web-based database, the "Treatment Outcome Tool," links rare B-rapidly accelerated fibrosarcoma gene (BRAF) mutations to targeted therapy outcomes. This tool enhances personalized oncology for rare cancers and improves clinical decision-making.

Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Rare B-rapidly accelerated fibrosarcoma gene (BRAF) mutations in advanced cancers pose treatment challenges due to limited targeted therapy evidence.
  • Existing genomic databases lack integrated patient outcome data for rare BRAF mutations, hindering personalized medicine.

Purpose of the Study:

  • To develop an innovative informatics solution, the "Treatment Outcome Tool," for rare cancer patients with BRAF mutations.
  • To aggregate and analyze expert-validated clinical data, correlating specific BRAF mutations with treatment efficacy.

Main Methods:

  • A web-based database was designed through expert interviews, allowing queries on rare BRAF mutations and treatment outcomes (e.g., progression-free survival, response rates).
  • Data collection involved structured input forms, followed by expert review and quality assurance.
  • An R/Shiny platform was used for external data accessibility and assessment.

Main Results:

  • The database, implemented in October 2024, contained data from 130 patients with 23 BRAF mutations by May 2025.
  • International dermato-oncologic experts reported excellent usability with a median System Usability Scale (SUS) score of 92.5.

Conclusions:

  • The "Treatment Outcome Tool" effectively bridges the gap between rare BRAF mutation profiles and treatment outcomes, supporting personalized oncology.
  • The tool demonstrated high clinical value and usability, with potential for expansion to other rare tumors to advance evidence-based practice and research.