Ontology highlight
ABSTRACT: Background
Postoperative early recurrence (PER) remains a major challenge to long-term survival after successful conversion therapy and curative resection for initially unresectable colorectal liver metastases (CRLM). Existing prediction models rely heavily on clinicopathological parameters and lack molecular biomarkers, limiting their predictive accuracy.Objectives
To define the optimal recurrence-free survival (RFS) cutoff for PER and develop a comprehensive predictive nomogram incorporating molecular and clinical variables to predict PER in patients with initially unresectable CRLM who undergo curative resection following conversion therapy.Design
Retrospective cohort study.Methods
Clinicopathological and molecular data from 411 patients with initially un
SUBMITTER: Lu YT
PROVIDER: S-EPMC12816525 | biostudies-literature | 2026
REPOSITORIES: biostudies-literature