PathAI Present Machine Learning Models that Predict the Homologous Recombination Deficiency Status of Breast Cancer Biopsies at the 2020 SABCS
DNA damage repair pathways, such as homologous recombination, have essential roles in healthy cells, and mutations in these pathways are closely associated with an increased risk for cancer, as well as cancer progression.
- DNA damage repair pathways, such as homologous recombination, have essential roles in healthy cells, and mutations in these pathways are closely associated with an increased risk for cancer, as well as cancer progression.
- HRD tumors are sensitive to poly-ADP ribose polymerase (PARP) inhibitors and platinum-based chemotherapy, making determination of a patient's tumor HRD status clinically important.
- PathAI used two different approaches to predict the HRD status of a tumor from the H&E-stained tissue biopsy.
- Models were trained using breast cancer tumor biopsy images from TCGA and HRD scores of these same biopsies generated by Knijnenburg and colleagues (published in Cell Reports.