SATB۲–Ki۶۷ Axis: Toward Artificial Intelligence-Enhanced Prognostic Models in Colorectal Cancer

The convergence of molecular pathology and artificial intelligence (AI) has begun redefining prognostic assessment in colorectal cancer (CRC). The recent study by Kareem et al. (۲۰۲۵) in the Journal of Applied Biotechnology Reports underscores the prognostic potential of combined SATB۲ and Ki۶۷ expression in predicting progression-free survival among CRC patients. Beyond its biomarker significance, the SATB۲–Ki۶۷ axis embodies a paradigm shift in digital oncology, linking chromatin architecture and cellular proliferation with image-based analytics and computational modeling. This commentary discusses how integrating immunohistochemical (IHC) signatures of SATB۲ and Ki۶۷ into AI-driven histopathological platforms could transform CRC prognostication, enabling precision risk stratification, digital biomarker scoring, and personalized therapeutic guidance. We further explore how deep learning algorithms, multiplex IHC, and radiogenomic data fusion could optimize SATB۲–Ki۶۷–based predictive models for next-generation oncology practice.

کلیدواژه ها:

colorectal cancer ، SATB۲ ، Ki۶۷ ، Artificial intelligence ، Digital Oncology