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Differences in the impact of prognostic factors for hepatocellular carcinoma over time.

ABSTRACT: The aim of the present study was to evaluate the prognostic significance of serum markers that reflect tumor progression, liver function, or liver fibrosis in patients with hepatocellular carcinoma (HCC), focusing on how their impact changes over time after diagnosis. Alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin (DCP), albumin-bilirubin (ALBI) score, aspartate aminotransferase to platelet ratio index (APRI), and FIB-4 index were measured at the time of initial non-recurrent HCC diagnosis in 1669 patients between 1997 and 2016. Survival rates after diagnosis were compared after stratifying patients by these markers. Time-dependent receiver-operating characteristics (ROC) analysis was carried out to assess how these markers predict patient survival or death. Serum AFP and DCP levels, ALBI score, and APRI and FIB-4 index were strongly correlated with HCC progression, liver function, and degree of liver fibrosis, respectively. Survival rates after diagnosis were significantly different when patients were stratified by these markers. In the time-dependent ROC analysis, AFP and DCP had a high prognostic impact within 3 years of diagnosis but the impact decreased thereafter. In contrast, APRI and FIB-4 index had higher prognostic impact 10 years after diagnosis. ALBI score had a high prognostic impact throughout the study period. Time-dependent ROC analysis clearly showed changes in the prognostic importance of serum markers based on the duration after diagnosis. Whereas the prognostic impact of tumor progression markers was strong in the short term, liver fibrosis markers had higher prognostic impact long after diagnosis. Liver function had constant prognostic impact on patient survival after diagnosis.

SUBMITTER: Toyoda H

PROVIDER: S-EPMC5715354 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Differences in the impact of prognostic factors for hepatocellular carcinoma over time.

Toyoda Hidenori H Kumada Takashi T Tada Toshifumi T Yama Tsuyoki T Mizuno Kazuyuki K Sone Yasuhiro Y Maeda Atsuyuki A Kaneoka Yuji Y Akita Tomoyuki T Tanaka Junko J

Cancer science 20171020 12

The aim of the present study was to evaluate the prognostic significance of serum markers that reflect tumor progression, liver function, or liver fibrosis in patients with hepatocellular carcinoma (HCC), focusing on how their impact changes over time after diagnosis. Alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin (DCP), albumin-bilirubin (ALBI) score, aspartate aminotransferase to platelet ratio index (APRI), and FIB-4 index were measured at the time of initial non-recurrent HCC diagnos ...[more]

PMID: 28945309

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Project description:BackgroundIncidental hepatocellular carcinoma (iHCC) is a histological finding after liver transplantation (LT) which relevance has been scarcely studied.Aimsto describe the histopathological features of iHCC and to determine its prognostic impact in terms of tumor recurrence and overall survival.MethodsObservational study including 451 consecutive adult LT patients (2000-2013). Patients aged<18, retransplanted or with early postoperative death were excluded. Median follow-up after LT was 58 months. Multiple Cox's regression was used to assess the prognostic impact of iHCC on tumor recurrence and mortality while controlling for potential confounders.Results141 patients had known HCC before LT (31.3%). Among the remaining 310 patients, the prevalence of iHCC was 8.7% (n = 27). In the explanted liver, 36.2% of patients with known HCC and 25.9% of patients with iHCC trespassed Milan criteria (p = 0.30). Patients with known and iHCC had similar rates of multinodular disease (50.4% vs 55.6%; p = 0.62), macrovascular invasion (6.5% vs 3.7%; p = 0.58), microvascular invasion (12.9% vs 14.8%; p = 0.76) and moderate-poor tumor differentiation (53.9% vs 70.4%; p = 0.09). In the multivariate analysis, iHCC and known HCC had identical recurrence-free survival after controlling for histological features (RR = 1.06, 95%CI 0.36-3.14; p = 0.90). Cumulative 5-year overall survival rates were similar between patients with known and iHCC (65% vs 52.8% respectively; log rank p = 0.44), but significantly inferior as compared with patients without HCC (77.8%) (p = 0.002 and p = 0.007 respectively). Indeed, in the overall cohort, iHCC was an independent predictor of mortality (RR = 3.02; 95%CI 1.62-5.65; p = 0.001).ConclusionThe risk of tumor recurrence after LT is similar in patients with iHCC and known HCC. A close imaging surveillance is strongly recommended for patients awaiting LT in order to detect HCC prior to LT, thus allowing for an adequate selection of candidates, prioritization and indication of bridging therapies.

Project description:Background: The prognosis of patients with hepatocellular carcinoma (HCC) is negatively affected by the lack of effective prognostic indicators. The change of tumor immune microenvironment promotes the development of HCC. This study explored new markers and predicted the prognosis of HCC patients by systematically analyzing immune characteristic genes. Methods: Immune-related genes were obtained, and the differentially expressed immune genes (DEIGs) between tumor and para-cancer samples were identified and analyzed using gene expression profiles from TCGA, HCCDB, and GEO databases. An immune prognosis model was also constructed to evaluate the predictive performance in different cohorts. The high and low groups were divided based on the risk score of the model, and different algorithms were used to evaluate the tumor immune infiltration cell (TIIC). The expression and prognosis of core genes in pan-cancer cohorts were analyzed, and gene enrichment analysis was performed using clusterProfiler. Finally, the expression of the hub genes of the model was validated by clinical samples. Results: Based on the analysis of 730 immune-related genes, we identified 64 common DEIGs. These genes were enriched in the tumor immunologic related signaling pathways. The first 15 genes were selected using RankAggreg analysis, and all the genes showed a consistent expression trend across multi-cohorts. Based on lasso cox regression analysis, a 5-gene signature risk model (ATG10, IL18RAP, PRKCD, SLC11A1, and SPP1) was constructed. The signature has strong robustness and can stabilize different cohorts (TCGA-LIHC, HCCDB18, and GSE14520). Compared with other existing models, our model has better performance. CIBERSORT was used to assess the landscape maps of 22 types of immune cells in TCGA, GSE14520, and HCCDB18 cohorts, and found a consistent trend in the distribution of TIIC. In the high-risk score group, scores of Macrophages M1, Mast cell resting, and T cells CD8 were significantly lower than those of the low-risk score group. Different immune expression characteristics, lead to the different prognosis. Western blot demonstrated that ATG10, PRKCD, and SPP1 were highly expressed in cancer tissues, while IL18RAP and SLC11A1 expression in cancer tissues was lower. In addition, IL18RAP has a highly positive correlation with B cell, macrophage, Neutrophil, Dendritic cell, CD8 cell, and CD4 cell. The SPP1, PRKCD, and SLC11A1 genes have the strongest correlation with macrophages. The expression of ATG10, IL18RAP, PRKCD, SLC11A1, and SPP1 genes varies among different immune subtypes and between different T stages. Conclusion: The 5-immu-gene signature constructed in this study could be utilized as a new prognostic marker for patients with HCC.

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Differences in the impact of prognostic factors for hepatocellular carcinoma over time.

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Differences in the impact of prognostic factors for hepatocellular carcinoma over time.

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