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ORIGINAL RESEARCH

Pretreatment Non-Invasive Biomarkers as Predictors to Estimate Portal Vein Tumor Thrombosis (PVTT) Risk and Long-Term Survival in HBV-Related Hepatocellular Carcinoma Patients Without PVTT

ORCID Icon, , , , , , ORCID Icon, , & ORCID Icon show all
Pages 2367-2382 | Received 28 Sep 2023, Accepted 19 Dec 2023, Published online: 27 Dec 2023

Figures & data

Table 1 Baseline Characteristics of HBV-Related HCC Patients with and without PVTT

Table 2 Baseline Characteristics of the Three Cohorts

Figure 1 Comparison of clinical characteristics and prognosis between PVTT group and non-PVTT group. The values of AAPR (A), APRI (B), ALBI score (C), and tumor diameter (D) were marked differences between the PVTT group and the non-PVTT group. KM survival curves revealed that patients occurred PVTT events had poorer OS (E) and PFS (F) than patients without PVTT.

Abbreviations: AAPR, albumin-to-alkaline phosphatase ratio; APRI, aspartate aminotransferase-to-platelet ratio index; ALBI, albumin-bilirubin; PVTT, portal vein tumor thrombosis; HR, hazard ratio.
Figure 1 Comparison of clinical characteristics and prognosis between PVTT group and non-PVTT group. The values of AAPR (A), APRI (B), ALBI score (C), and tumor diameter (D) were marked differences between the PVTT group and the non-PVTT group. KM survival curves revealed that patients occurred PVTT events had poorer OS (E) and PFS (F) than patients without PVTT.

Figure 2 Cox regression analysis and forest plot of PVTT in the entire cohort.

Abbreviations: PVTT, portal vein tumor thrombosis; HR, hazard ratio; AAPR, albumin-to-alkaline phosphatase ratio; AAR, aspartate aminotransferase-to-alanine aminotransferase ratio; APRI, aspartate aminotransferase-to-platelet ratio index; FIB-4, fibrosis-4 index; AFP, alpha-fetoprotein; HBV-DNA, hepatitis B virus DNA; ALBI, albumin-bilirubin.
Figure 2 Cox regression analysis and forest plot of PVTT in the entire cohort.

Figure 3 Cox regression analysis and forest plots of OS (A) and PFS (B) in the training cohort.

Abbreviations: OS, overall survival; PFS, progression-free survival; HR, hazard ratio; AAPR, albumin-to-alkaline phosphatase ratio; AAR, aspartate aminotransferase-to-alanine aminotransferase ratio; APRI, aspartate aminotransferase-to-platelet ratio index; FIB-4, fibrosis-4 index; AFP, alpha-fetoprotein; HBV-DNA, hepatitis B virus DNA; ALBI, albumin-bilirubin; PVTT, portal vein tumor thrombosis.
Figure 3 Cox regression analysis and forest plots of OS (A) and PFS (B) in the training cohort.

Figure 4 Construction and validation of the OS nomogram model. Nomogram predicting the OS for HBV-related HCC patients without PVTT (A). The calibration curves of the OS model for predicting 1‐, 3‐, and 5‐year OS in the training cohort (B), internal validation cohort (C), and external validation cohort (D). The time-dependent ROC curves of the OS model were used to evaluate the predictive ability of 1‐, 3‐, and 5‐year OS in the training cohort (E), internal validation cohort (F), and external validation cohort (G). The DCA curves of the OS model were performed to assess the clinical utility of 5‐year OS in the training cohort (H), internal validation cohort (I), and external validation cohort (J). KM survival analysis of OS among different risk groups based on the score of the OS nomogram model in the training cohort (K), internal validation cohort (L), and external validation cohort (M).

Abbreviations: AAR, aspartate aminotransferase-to-alanine aminotransferase ratio; APRI, aspartate aminotransferase-to-platelet ratio index; AFP, alpha-fetoprotein; ALBI, albumin-bilirubin; PVTT, portal vein tumor thrombosis; OS, overall survival; AUC, the area under the curve; BCLC, Barcelona Clinic Liver Cancer; CLIP, Cancer of the Liver Italian Program.
Figure 4 Construction and validation of the OS nomogram model. Nomogram predicting the OS for HBV-related HCC patients without PVTT (A). The calibration curves of the OS model for predicting 1‐, 3‐, and 5‐year OS in the training cohort (B), internal validation cohort (C), and external validation cohort (D). The time-dependent ROC curves of the OS model were used to evaluate the predictive ability of 1‐, 3‐, and 5‐year OS in the training cohort (E), internal validation cohort (F), and external validation cohort (G). The DCA curves of the OS model were performed to assess the clinical utility of 5‐year OS in the training cohort (H), internal validation cohort (I), and external validation cohort (J). KM survival analysis of OS among different risk groups based on the score of the OS nomogram model in the training cohort (K), internal validation cohort (L), and external validation cohort (M).

Figure 5 Construction and validation of the PFS nomogram model. Nomogram predicting the PFS for HBV-related HCC patients without PVTT (A). The calibration curves of the PFS model for predicting 1‐, 3‐, and 5‐year PFS in the training cohort (B), internal validation cohort (C), and external validation cohort (D). The time-dependent ROC curves of the PFS model were used to evaluate the predictive ability of 1‐, 3‐, and 5‐year PFS in the training cohort (E), internal validation cohort (F), and external validation cohort (G). The DCA curves of the PFS model were performed to assess the clinical utility of 5‐year PFS in the training cohort (H), internal validation cohort (I), and external validation cohort (J). KM survival analysis of PFS among different risk groups based on the score of the PFS nomogram model in the training cohort (K), internal validation cohort (L), and external validation cohort (M).

Abbreviations: AAR, aspartate aminotransferase-to-alanine aminotransferase ratio; APRI, aspartate aminotransferase-to-platelet ratio index; AFP, alpha-fetoprotein; PVTT, portal vein tumor thrombosis; PFS, progression-free survival; AUC, the area under the curve; BCLC, Barcelona Clinic Liver Cancer; CLIP, Cancer of the Liver Italian Program.
Figure 5 Construction and validation of the PFS nomogram model. Nomogram predicting the PFS for HBV-related HCC patients without PVTT (A). The calibration curves of the PFS model for predicting 1‐, 3‐, and 5‐year PFS in the training cohort (B), internal validation cohort (C), and external validation cohort (D). The time-dependent ROC curves of the PFS model were used to evaluate the predictive ability of 1‐, 3‐, and 5‐year PFS in the training cohort (E), internal validation cohort (F), and external validation cohort (G). The DCA curves of the PFS model were performed to assess the clinical utility of 5‐year PFS in the training cohort (H), internal validation cohort (I), and external validation cohort (J). KM survival analysis of PFS among different risk groups based on the score of the PFS nomogram model in the training cohort (K), internal validation cohort (L), and external validation cohort (M).

Figure 6 Subgroup survival analysis for the entire cohort stratified by the BCLC staging system. KM survival analysis of OS and PFS among different risk groups based on the score of the OS nomogram model and PFS nomogram model in BCLC stage 0/A patients (A and D), BCLC stage B patients (B and E), and BCLC stage C/D patients (C and F), respectively.

Abbreviation: BCLC, Barcelona Clinic Liver Cancer.
Figure 6 Subgroup survival analysis for the entire cohort stratified by the BCLC staging system. KM survival analysis of OS and PFS among different risk groups based on the score of the OS nomogram model and PFS nomogram model in BCLC stage 0/A patients (A and D), BCLC stage B patients (B and E), and BCLC stage C/D patients (C and F), respectively.