Liver resection for early hepatocellular cancer: Comparison of centers in 3 different countries

Perioperative factors related to the prognosis of elderly patients with hepatocellular carcinoma

BACKGROUND

Hepatic resection is a potentially curative treatment for patients with hepatocellular carcinoma (HCC). The treatment of elderly patients with HCC has always been difficult. With the development of geriatrics and geriatric surgery, the number of elderly patients with HCC undergoing hepatectomy has gradually increased. To further improve the long-term prognosis of elderly patients with hepatocellular carcinoma undergoing surgery, it is necessary to study the related perioperative factors. Our aim was to study the impact of preoperative and intraoperative factors on the long-term survival of elderly patients with HCC who underwent hepatectomy.

METHODS

A total of 151 elderly patients with HCC who underwent hepatectomy were retrospectively studied. Univariate and multivariate Cox regression analyses were performed for preoperative- and intraoperative-related prognostic factors.

RESULTS

The 1-, 3-, 5- and 10-year overall survival rates of elderly patients with HCC who underwent resection were 79.5%, 60.8%, 46.6%, and 25.4%, respectively. Multivariate analyses identified four independent predictors of long-term prognosis: Child-Pugh grade (B/C versus A: HR[hazard ratio] = 2.318, P = 0.019), alpha-fetoprotein value (> 20 ng/ml versus ≤ 20 ng/ml: HR = 1.972, P = 0.005), resection style (anatomical versus no anatomical: HR = 1.976, P = 0.006), and intraoperative blood loss (> 400 ml versus ≤ 400 ml: HR = 2.008, P = 0.003).

CONCLUSIONS

Poor survival of elderly patients with HCC who underwent hepatectomy was correlated with the preoperative and intraoperative factors of Child-Pugh grade, Alpha-fetoprotein value, resection style, and intraoperative blood loss.

Transcriptomics Associates Molecular Features with 18F-Fluorocholine PET/CT Imaging Phenotype and Its Potential Relationship to Survival in Hepatocellular Carcinoma

Studies involving transcriptomics have revealed multiple molecular subtypes of hepatocellular carcinoma (HCC). Positron emission tomography/computed tomography (PET/CT) has also identified distinct molecular imaging subtypes, including those with increased and decreased choline metabolism as measured by the tissue uptake of the radiopharmaceutical ¹⁸F-fluorocholine. Gene signatures reflecting the molecular heterogeneity of HCC may identify the biological and clinical significance of these imaging subtypes. In this study, 41 patients underwent ¹⁸F-fluorocholine PET/CT, followed by tumor resection and gene expression profiling. Over- and underexpressed components of previously published gene signatures were evaluated for enrichment between tumors with high and low ¹⁸F-fluorocholine uptake using gene set analysis. Significant gene sets were enumerated by FDR based on phenotype permutation. Associations with overall survival were analyzed by univariate and multivariate proportional hazards regression. Ten gene sets related to HCC were significantly associated with high tumor ¹⁸F-fluorocholine uptake at FDR q < 0.05, including those from three different clinical molecular classification systems and two prognostic signatures for HCC that showed predictive value in the study cohort. Tumor avidity for ¹⁸F-fluorocholine was associated with favorable characteristics based on these signatures with lower mortality based on survival analysis (HR 0.36; 95% confidence interval, 0.14-0.95). Tumors demonstrating high ¹⁸F-fluorocholine uptake were also enriched for genes involved in oxidative phosphorylation, fatty acid metabolism, peroxisome, bile acid metabolism, xenobiotic metabolism, and adipogenesis. These results provide a pathobiological framework to further evaluate ¹⁸F-fluorocholine PET/CT as a molecular and prognostic classifier in HCC. SIGNIFICANCE: A pathobiological framework for HCC brings together multiple prognostically relevant gene signatures via convergence with ¹⁸F-fluorocholine PET/CT imaging phenotype.

Clinical and molecular sub-classification of hepatocellular carcinoma relative to alpha-fetoprotein level in an Asia-Pacific island cohort

Aim

Increased serum alpha-fetoprotein (AFP) levels are associated with specific molecular sub-classes of hepatocellular carcinoma (HCC), supporting AFP as a predictive or therapeutic biomarker for precision treatment of this disease. Considering recent efforts to validate HCC molecular classification systems across different populations, we applied existing signature-based classification templates to Hawaii cohorts and examined whether associations between HCC molecular sub-class, AFP levels, and clinical features found elsewhere can also be found in Hawaii, a region with a unique demographic and risk factor profile for HCC.

Methods

Whole-genome expression profiling was performed on HCC tumors collected from 40 patients following partial hepatectomy. Tumors underwent transcriptome-based categorization into 3 molecular sub-classes (S1, S2, and S3). Patient groups based on molecular sub-class and AFP level were then compared with regards to clinical features and survival. Differences associated with AFP level and other clinical parameters were also examined at the gene signature level by gene set enrichment analysis.

Results

Statistically confident (false discovery rate < 0.05) sub-classifications were made in 98% (39/40) of tumors. Patient sub-groups differed significantly with regards to serum AFP level, with significantly lower levels in the S3 sub-group as compared to S1 (P = 0.048) and S2 (P = 0.010). Serum AFP > 400 ng/mL predicted significant tumor enrichment for genes corresponding to MYC target activation, high cell proliferation, poor clinical prognosis, and the S2 sub-class. AFP > 400 ng/mL and non-S3 tumor classification were found to be significant predictors of overall survival.

Conclusion

Distinct sub-classes of HCC associated with different molecular features and survival outcomes can be detected with statistical confidence in a Pacific Island cohort. Molecular classification signatures and other predictive markers for HCC that are valid for all patient populations are needed to support multi-center efforts to develop targeted therapies for HCC.

Identification of the resection severity index as a significant independent prognostic factor for early mortality and observed survival >5 and >10 years after liver resection for hepatocellular carcinoma

BACKGROUND AND OBJECTIVES

This study evaluates predictive factors for observed long-term survival of more than 5 and 10 years for patients after liver resection for hepatocellular carcinoma and compares their life expectancy to the normal national population matched for sex, year of birth and age at resection.

METHODS

230 patients after primary liver resection for HCC (01.01.1995-31.12.2004) were analyzed. Multivariable logistic regression models were determined based on Cox regression results and their prognostic capability evaluated with areas under the receiver operating characteristic curve (AUROCs).

RESULTS

Life years after surgery in deceased patients compared to the normal national population matched for sex, year of birth and age at resection was reduced by median 21.7 years. Independent predictive factors for 10-year survival were age at resection (p < 0.001; OR = 0.898; 95%-CI: 0.846-0.954), UICC 7 tumor staging (p = 0.003; OR = 0.344; 95%-CI: 0.126-0.941) and ASAT (GOT) in U/l divided by Quick in percent multiplied by the extent of liver resection graded in points labelled as the resection severity index (p < 0.001; OR = 0.136; 95%-CI: 0.022-0.843) enabling prediction of 10-year survival with an AUROC of 0.884. The same factors plus revision surgery (yes/no) predict 5-year survival (AUROC 0.736).

CONCLUSIONS

Liver resection enables predictable long-term survival >5 and > 10 years. The proposed resection severity index quantifies the prognostic relevance of liver cellular damage, synthesis and loss of parenchyma for long-term survival.