DNAfusion
DNAfusion detects EML4-ALK gene fusions in liquid biopsy NGS data to improve sensitivity of fusion detection for molecular profiling and monitoring of stage IV non-small cell lung cancer (NSCLC).
Key Features:
- Increased Sensitivity: In a training cohort of 48 blood samples (41 EML4-ALK-positive stage IV NSCLC and 7 healthy controls) DNAfusion achieved 61.0% sensitivity versus 36.6% for AVENIO.
- Validation and Verification: In a blinded validation cohort of 24 EML4-ALK-positive and 24 EML4-ALK-negative stage IV NSCLC patients DNAfusion sensitivity was 62.5% versus 29.2% for AVENIO, and newly identified positives were confirmed by droplet digital PCR.
- High Specificity: DNAfusion exhibited 100% specificity in both the training and validation cohorts.
- NGS BAM compatibility: Processes BAM files generated by commercially available NGS platforms such as AVENIO for fusion detection within the R/Bioconductor framework.
Scientific Applications:
- NSCLC tumor monitoring: Detects EML4-ALK fusions in liquid biopsies to monitor tumor dynamics in stage IV NSCLC.
- Patient stratification: Identifies EML4-ALK-positive patients to inform selection and monitoring of ALK-targeted therapies.
- Oncogenic driver research: Enables detection of EML4-ALK fusion events from circulating tumor DNA for studies of cancer progression and treatment response.
Methodology:
Processes BAM files from NGS data (e.g., AVENIO) within the R/Bioconductor framework using advanced bioinformatics algorithms to identify EML4-ALK gene fusions.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 10/15/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
PCR primer design
Inputs
Outputs
Publications
Maansson CT, Andersen ER, Ulhoi MP, Meldgaard P, Sorensen BS. DNAfusion: an R/Bioconductor package for increased sensitivity of detecting gene fusions in liquid biopsies. BMC Bioinformatics. 2023;24(1). doi:10.1186/s12859-023-05259-3. PMID:37016288. PMCID:PMC10074784.