Quantitative Analysis of the Impact of Clinical and Molecular Factors on the Prognosis of Patients with Hepatocellular Carcinoma
Authors: Zhang Wei, Li Ming, Wang Fang, Chen Jing
Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. Prognostic assessment is crucial for treatment planning. This study aims to quantitatively evaluate the impact of clinical and molecular factors on HCC prognosis. Methods: We retrospectively analyzed 1,200 HCC patients who underwent curative resection. Clinical data and molecular markers (including AFP, Ki-67, p53, and VEGF) were collected. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors. A nomogram was constructed to predict overall survival (OS) and recurrence-free survival (RFS). Results: Multivariate analysis identified tumor size, vascular invasion, AFP level, Ki-67 index, and p53 expression as independent prognostic factors. The nomogram showed good discrimination with a C-index of 0.78 for OS and 0.75 for RFS. Calibration curves demonstrated good agreement between predicted and observed outcomes. Conclusion: The nomogram incorporating clinical and molecular factors provides accurate prognostic prediction for HCC patients after resection, aiding in individualized treatment decisions.
