The new genetic test based on AI and ML has proven effective to identify patients who do not require PARP inhibitors commonly used to treat ovarian cancer.
Researchers have developed a novel genetic test to discover ovarian cancer patients who benefit from PARP inhibitors. PARP inhibitors are a type of targeted drug that could be effective against ovarian cancer. Since the therapy with PARP inhibitors is associated with potentially serious side effects, it is important to be able to target it to the patients that benefit the most from it.
Genetic Testing for Ovarian Cancer
"The genetic test helps to identify patients who do not benefit from the drug, thus avoiding unnecessary treatment and the adverse effects associated with the drug," Anniina Farkkila from Helsinki University Hospital was quoted as saying in the statement.‘PARP inhibitors have achieved excellent results as a maintenance treatment after surgery and cytostatic therapy of newly diagnosed ovarian cancer patients.’
"Roughly half of ovarian cancers have a deficiency in a specific DNA (deoxyribonucleic acid) repair pathway. Cancer cells with this deficiency are unable to accurately repair breaks in the DNA double-strand, which causes the accumulation of DNA lesions," doctoral researcher Fernando Perez-Villatoro from the University of Helsinki said. The study results show that each cancer type is associated with different characteristics of the genetic lesions related to homologous recombination DNA-repair deficiency (HRD), which is a common driver of genomic instability. Therefore, developing a test optimized for ovarian cancer was important for advancing the precision of therapies for the cancer type, the University of Helsinki noted.
The study results were published in the latest issue of npj Precision Oncology.
Source-IANS