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PIVKA‐II combined with tumor burden score to predict long‐term outcomes of AFP‐negative hepatocellular carcinoma patients after liver resection
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PIVKA‐II combined with tumor burden score to predict long‐term outcomes of AFP‐negative hepatocellular carcinoma patients after liver resection
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PIVKA‐II combined with tumor burden score to predict long‐term outcomes of AFP‐negative hepatocellular carcinoma patients after liver resection
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Journal Article
PIVKA‐II combined with tumor burden score to predict long‐term outcomes of AFP‐negative hepatocellular carcinoma patients after liver resection
2024
Overview
Background This study aimed to establish a simple prognostic scoring model based on tumor burden score (TBS) and PIVKA‐II to predict long‐term outcomes of α‐fetoprotein (AFP)‐negative hepatocellular carcinoma (HCC) patients. Methods 511 patients were divided into the training cohort (n = 305) and the validation cohort (n = 206) at a ratio of 6:4. Receiver operating characteristic curves (ROC) were established to identify cutoff values of TBS and PIVKA‐II. Kaplan–Meier curves were used to analyze survival outcomes. The multivariable Cox regression was used to identify variables independently associated with survival outcomes. The predictive performance of the TBS‐PIVKA II score (TPS) model was compared with Barcelona clinic liver cancer (BCLC) stage and American Joint Committee on Cancer (AJCC TNM) stage. Results The present study established the TPS model using a simple scoring system (0, 1 for low/high TBS [cutoff value: 4.1]; 0, 1 for low/high PIVKA‐II [cutoff value: 239 mAU/mL]). The TPS scoring model was divided into three levels according to the summation of TBS score and PIVKA‐II score: TPS 0, TPS 1, and TPS 2. The TPS scoring model was able to stratify OS (training: p < 0.001, validation: p < 0.001) and early recurrence (training: p < 0.001; validation: p = 0.001) in the training cohort and the validation cohort. The TPS score was independently associated with OS (TPS 1 vs. 0, HR: 2.28, 95% CI: 1.01–5.17; TPS 2 vs. 0, HR: 4.21, 95% CI: 2.01–8.84) and early recurrence (TPS 1 vs. 0, HR: 3.50, 95% CI: 1.71–7.16; TPS 2 vs. 0, HR: 3.79, 95% CI: 1.86–7.75) in the training cohort. The TPS scoring model outperformed BCLC stage and AJCC TNM stage in predicting OS and early recurrence in the training cohort and the validation cohort. But the TPS scoring model was unable to stratify the late recurrence in the training cohort (p = 0.872) and the validation cohort (p = 0.458). Conclusions The TPS model outperformed the BCLC stage and AJCC TNM stage in predicting OS and early recurrence of AFP‐negative HCC patients after liver resection, which might better assist surgeons in screening AFP‐negative HCC patients who may benefit from liver resection.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc,Wiley
Subject
