PIVKA-II combined with tumor burden score to predict long-term outcomes of AFP-negative hepatocellular carcinoma patients after liver resection.
Cancer Med
; 13(1): e6835, 2024 Jan.
Article
de En
| MEDLINE
| ID: mdl-38130028
ABSTRACT
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 64. 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.Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Précurseurs de protéines
/
Prothrombine
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Marqueurs biologiques
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Alphafoetoprotéines
/
Carcinome hépatocellulaire
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Charge tumorale
/
Hépatectomie
/
Tumeurs du foie
Limites:
Adult
/
Aged
/
Female
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Humans
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Male
/
Middle aged
Langue:
En
Journal:
Cancer Med
Année:
2024
Type de document:
Article
Pays d'affiliation:
Chine