4.7 Article

Multi-institutional validation of novel models for predicting the prognosis of patients with huge hepatocellular carcinoma

期刊

INTERNATIONAL JOURNAL OF CANCER
卷 149, 期 1, 页码 127-138

出版社

WILEY
DOI: 10.1002/ijc.33516

关键词

hepatectomy; huge hepatocellular carcinoma; mortality; nomogram; recurrence

类别

资金

  1. National Natural Science Foundation of China [81874070]
  2. Sun Yat-sen University Cancer Center [16zxqk04]
  3. National Science and Technology Major Project of China [2018ZX10723204, 2018ZX10302205]

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The study aimed to develop novel models to predict the long-term outcomes of patients with huge hepatocellular carcinoma (H-HCC) without portal vein tumor thrombus after hepatectomy. The novel models, based on independent preoperative and postoperative predictors, showed significantly higher predictive accuracy for postsurgical recurrence and mortality compared to conventional HCC staging systems.
The population of patients with huge hepatocellular carcinoma (H-HCC diameter > 10.0 cm) is an odd group that is not well adjudicated in the current staging systems, whose prognosis after curative resection varies. We aimed to develop novel models to predict the long-term outcomes of patients with H-HCC without portal vein tumor thrombus after hepatectomy. There were 1076 H-HCC patients enrolled who underwent curative liver resection in five institutions in China. In total, 670 patients were recruited from our center and randomly divided into the training cohort (n = 502) and internal validation (n = 168) cohorts. Additionally, 406 patients selected from other four centers as the external validation cohort. Novel models were constructed based on independent preoperative and postoperative predictors of postsurgical recurrence (PSR) and postsurgical mortality (PSM) determined in multivariable cox regression analysis. The predictive accuracy and discriminative ability of the model were measured using Harrell's concordance index (C index) and calibration curve and compared with five conventional HCC staging systems. PSR model and PSM model were constructed based on tumor number, microscopic vascular invasion, tumor differentiation, preoperative alpha-fetoprotein level, albumin-bilirubin grade, liver segment invasion, neutrophil-to-lymphocyte ratio or platelet-to-neutrophil ratio, and surgical margin or intraoperative blood transfusion. The C-indexes were 0.84 (95% CI, 0.78-0.90) and 0.85 (95% CI, 0.78-0.91) for the PSR and PSM models, respectively, which were substantially higher than those of the five conventional HCC staging systems (0.63-0.75 for PSR; 0.66-0.77 for PSM). The two novel models achieved more accurate prognostic predictions of PSR and PSM for H-HCC patients after curative liver resection.

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