Ovarian Cancer Genomic Analysis Reveals Seven Disease-Stratifying Clusters
Genomic analysis appears to provide new information for classifying ovarian cancer, beyond what is available from traditional ovarian cancer histotypes, a new study suggests.
An international team led by investigators at the BC Cancer Agency and the University of British Columbia tracked point mutations and structural variants in more than 100 ovarian cancers, representing four established subtypes of the disease. From these alterations, the investigators identified seven tumor clusters — molecular subtypes that spanned histotype-based subtypes in some cases. The findings were published online in Nature Genetics today.