NEW YORK – Researchers have developed a computational tool to identify and analyze noncoding mutations and their impact on gene expression and used it to establish distinct mutational patterns in five major pediatric cancers.
The technology, called PANGEA (predictive analysis of noncoding genomic enhancer/promoter alterations), could eventually help researchers and clinicians more accurately classify cancer subtypes to better guide prognoses and treatments.