Background: The clinical significance of Albumin-to-Alkaline Phosphatase Ratio (AAPR) has been discussed in hepatocellular carcinoma (HCC) and cholangiocarcinoma (CC). The aim of this study is to clarify the prognostic value of AAPR in patients with combined hepatocellular and cholangiocarcinoma (cHCC-CCA). Methods: A total of 267 patients pathologically diagnosed as Allen type C cHCC-CCA in our institution were retrospectively enrolled and randomly divided into the training (N=187) cohort and validation (N=80) cohort. The prognostic value of AAPR was evaluated and validated. An AAPR-based nomogram was constructed and its prediction performance was assessed. Results: We identified 0.43 as the optimal threshold value of AAPR by the X-tile software. In the training cohort, the median overall survival (OS) of patients with AAPR < 0.43 was significant shorter than that of those with AAPR ≥ 0.43(15.8 months vs 35 months, respectively, P < 0.001). Univariate and multivariate analyses demonstrated that AAPR was a strong indicator of OS. The concordance index (C-index), receiver operating characteristic (ROC) curves, likelihood ratio tests (LAT), Akaike information criteria (AIC) and decision curve analysis (DCA) demonstrated that AAPR outperformed the Child-Pugh (CP) grade and albumin-bilirubin (ALBI) grade in predicting OS. These findings were further verified in the validation cohort. The AAPR-based nomogram achieved C-index values of 0.76 (95%CI: 0.71-0.81) in the training cohort and 0.69 (95%CI: 0.60-0.78) in the validation cohort, which presented significant superiority to TNM stage. Conclusions: Preoperative AAPR is an independent prognostic predictor in cHCC-CCA. The AAPR-based nomogram contributes to personalized prognosis prediction and clinical decision making for cHCC-CCA.
Background and Aim:Patients with Barcelona Clinic Liver Cancer stage B hepatocellular carcinoma are a heterogeneous population, and the classifications available could not predict the prognosis accurately. Herein, we proposed a new substage classification method, Scoring Method for Intermediate Stage, for precise classification and clinical guidance in hepatocellular carcinoma patients within Barcelona Clinic Liver Cancer stage B. Methods: A total of 1026 stage B patients of hepatocellular carcinoma who underwent transcatheter arterial chemoembolization as a first-line treatment in Liver Cancer Institute, Zhongshan Hospital, Fudan University were retrospectively enrolled. The prognostic evaluation ability of the new substage classification criteria was analyzed, in comparison with the existing substage classification criteria. Results: Using Scoring Method for Intermediate Stage, 1026 stage B patients were subclassified into three subgroups, based on Child-Pugh score and up-to-7 grade, as B1 (scoring 2), B2 (scoring 3 or 4), and B3 (scoring 5 or 6). The median survival time of the three substages was 29 (95% confidence interval [CI]: 25-36), 19 (95% CI: 16-21), and 10 (95% CI: 8-12) months, respectively. More favorable discrimination efficacy was identified by the new criteria in comparison with the existing substage classification criteria, including Bolondi, Kinki, MICAN, and Kim's criteria. Moreover, multivariate analyses indicated that the novel classification was highly associated with prognosis (Hazard ratio(s) = 1.63, 95% CI: 1.43-1.86, P < 0.001). Conclusions: Scoring Method for Intermediate Stage demonstrates satisfying capacity in classifying patients with stage B hepatocellular carcinoma and predicting prognosis.
BACKGROUND: Inflammation-based prognostic scores have been increasingly used for prognosis prediction in malignant tumors. However, no existing study has comprehensively evaluated these scores in combined hepatocellular-cholangiocarcinoma (cHCC-CCA). OBJECTIVE: This study aimed to identify a robust inflammation-based prognostic predictor for cHCC-CCA. METHODS: We retrospectively analyzed 220 patients pathologically confirmed as Allen type C cHCC-CCA. The univariate and multivariate analyses were used to explore the associations between clinical variables and prognosis of cHCC-CCA. The propensity score-matching (PSM) was performed to reduce the effects of potential cofounders and selection bias. Finally, the predictive values of different inflammation-based indices were compared by using time-dependent receiver operating characteristic (ROC) curves. RESULTS: The systemic immune-inflammation index (SII) and aspartate aminotransferase to platelet ratio index (APRI) were identified as independent prognostic predictors in multivariate analysis. After PSM, the survival differences were still significant between SII-high group and SII-low group (P= 0.016 for RFS and P= 0.001 for OS). Further ROC analysis showed that the SII harbored the largest 1-, 3- and 5-year area under the curves (AUC) values as compared with other scores. CONCLUSIONS: The SII may serve as a preferable predictor of both recurrence-free survival (RFS) and overall survival (OS) in patients with cHCC-CCA.
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