A computational and structural approach to identify malignant non-synonymous FOXM1 single nucleotide polymorphisms in triple-negative breast cancer
2025
Identifying Harmful Genetic Variants in Breast Cancer
Sample size: 8826
publication
10 minutes
Evidence: moderate
Author Information
Author(s): Chatterjee Prarthana, Banerjee Satarupa
Primary Institution: Vellore Institute of Technology
Hypothesis
This study aims to identify malignant non-synonymous SNPs in the FOXM1 gene associated with triple-negative breast cancer.
Conclusion
The study identified four pathogenic SNPs in the FOXM1 gene that may contribute to the aggressiveness of triple-negative breast cancer.
Supporting Evidence
- FOXM1 is overexpressed in 85% of triple-negative breast cancer patients.
- Four SNPs were identified as pathogenic and may affect cancer progression.
- Computational methods were used to analyze a large dataset of SNPs.
Takeaway
Researchers found some tiny changes in a gene that can make breast cancer worse, which could help doctors treat patients better.
Methodology
The study used computational tools to analyze 8826 SNPs in the FOXM1 gene, identifying four that are likely harmful.
Limitations
Further in-vitro validations are needed to confirm the findings.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website