MammOnc-DB

MammOnc-DB integrates multi-omics data from more than 20,000 breast cancer samples to enable biomarker discovery, therapeutic target identification, and hypothesis generation and testing.

Key Features:

• Multi-omics data integration: The platform incorporates RNA-sequencing, proteomic, epigenetic, and single cell sequencing data from multiple studies.
• Biomarker discovery: Users can identify subclass-specific breast cancer biomarkers to guide precision medicine approaches.
• Therapeutic target discovery: The platform supports the identification of new targets and drugs for breast cancer treatment.
• Treatment response analysis: Pre- and post-treatment data enable the identification of treatment resistance markers and patient groups that may benefit from combination therapy.
• Data visualization: Tools for multi-omics data analysis and visualization are provided.

Scientific Applications:

• Biomarker and target discovery: Researchers can identify subclass-specific breast cancer biomarkers and develop new therapeutic targets and drugs.
• Treatment resistance research: Pre- and post-treatment data enable identification of resistance markers and stratification of patients for combination therapy.
• Hypothesis generation and testing: The platform serves as a unique resource for formulating and validating scientific hypotheses in breast cancer research.

Methodology:

The platform was developed as a comprehensive breast cancer data analysis platform integrating data from more than 20,000 breast cancer samples.