Nomograms in the era of personalized oncologic surgery

Core Tip

Core Tip: Personalized oncology increasingly depends on integrating quantitative tools into clinical decision-making. The study by Xie et al introduces a nomogram that combines tumor- and host-related factors (including γ-glutamyl transferase, chloride, activated partial thromboplastic time, N stage, and vascular invasion) to predict survival after colorectal liver metastasis resection. Unlike traditional scores such as Fong or Nordlinger models, this LASSO-Cox–based approach reflects biologic and systemic determinants of outcome. Accessibility and interpretability make it promising for daily surgical oncology practice, emphasizing the ongoing shift toward precision-guided, individualized care in metastatic colorectal cancer.