Increased Prevalence of Metabolic Risk Factors in Asian Americans With Hepatocellular Carcinoma

Disparities in Hepatocellular Carcinoma Outcomes Among Subgroups of Asians and Pacific Islanders: A SEER Database Study

Hepatocellular carcinoma (HCC) is highly prevalent in Asians and Pacific Islanders (API) but this heterogenous group is often aggregated into a single category, despite vast differences in culture, socioeconomic status, education, and access to care among subgroups. There remains a significant knowledge gap in HCC outcomes among different subgroups of API. The Surveillance, Epidemiology, and End Results (SEER) database was accessed, and site/ICD codes were used to identify HCC patients during 2010-2019 who were API ethnicity. Data collected: demographics, socioeconomic status, tumor characteristics, treatment, and survival. Subgroup analyses were performed among different Asian ethnicities in a secondary analysis. 8,249 patients were identified/subdivided into subgroups of Asian ethnicities and Other Pacific Islanders (NHOPI) groups. The median age was 65 years for Asians and 62 years for NHOPI (p < 0.01), and significant differences were found in income (p < 0.01). A higher proportion of NHOPI lived in rural areas compared to Asians (8.1 vs. 1.1%, p < 0.01). There were no statistically significant differences in tumor size, stage, pre-treatment AFP level, or surgical treatments between the two groups. However, Asians had higher overall median survival than NHOPI (20 months v 12 months, p < 0.01). Secondary analyses among different subgroups of Asian ethnicities revealed significant differences in tumor size and staging, surgical resection, transplant rates, and median survival. While API had similar tumor characteristics and treatment, Asians had much higher survival than NHOPI. Socioeconomic differences and access to care may contribute to these differences. This study also found significant survival disparities within API ethnicities.

Prediction of hepatocellular carcinoma risk in patients with type-2 diabetes using supervised machine learning classification model

Background

Hepatocellular carcinoma (HCC) among type-2 diabetes (T2D) patients is an increasing burden to diabetes management. This study aims to develop and select the best machine learning (ML) classification model for predicting HCC in T2D for HCC early detection.

Methods

A case-control study was conducted utilising computerised medical records in two hepatobiliary centres. The predictors were chosen using multiple logistic regression. IBM SPSS Modeler® was used to assess the discriminative performance of support vector machine (SVM), logistic regression (LR), artificial neural network (ANN), chi-square automatic interaction detection (CHAID), and their ensembles.

Results

Subjects (N = 424) were split into 60% training (n = 248) and 40% testing (n = 176) groups. The independent predictors identified were race, viral hepatitis, abdominal pain/discomfort, unintentional weight loss, statins, alcohol consumption, non-alcoholic fatty liver, platelet <150 ×10³/μL, alkaline phosphatase >129 IU/L, and alanine transaminase ≥25 IU/L. The performances of all models differed significantly (Cochran’s Q-test,p = 0.001) but not between the ensembled and SVM model (McNemar test, p = 0.687). SVM model was selected as the best model due to its simplicity, high accuracy (85.28%), and high AUC (0.914). A web-based application was developed using the best model’s algorithm for HCC prediction.

Conclusions

If further validation studies confirm these results, the SVM model’s application potentially augments early HCC detection in T2D patients.

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Hepatocellular carcinoma (HCC) in type-2 diabetes (T2D) is increasing.

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A web-based application using a machine learning model has been developed.

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The model has 85.28% accuracy and high AUC (0.914) in HCC prediction.

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Potential risk stratification tool in T2D clinic to predict HCC.

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HCC prediction in T2D clinic may aid early detection and improve survival.

Incidence of Hepatocellular Carcinoma in Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review, Meta-analysis, and Meta-regression

BACKGROUND & AIMS

Nonalcoholic fatty liver disease (NAFLD) may be a risk factor for hepatocellular carcinoma (HCC), but the extent of this association still needs to be addressed. Pooled incidence rates of HCC across the disease spectrum of NAFLD have never been estimated by meta-analysis.

METHODS

In this systematic review, we searched Web of Science, Embase, PubMed, and the Cochrane Library from January 1, 1950 through July 30, 2020. We included studies reporting on HCC incidence in patients with NAFLD. The main outcomes were pooled HCC incidences in patients with NAFLD at distinct severity stages. Summary estimates were calculated with random-effects models. Sensitivity analyses and meta-regression analyses were carried out to address heterogeneity.

RESULTS

We included 18 studies involving 470,404 patients. In patients with NAFLD at a stage earlier than cirrhosis, the incidence rate of HCC was 0.03 per 100 person-years (95% confidence interval [CI], 0.01-0.07; I² = 98%). In patients with cirrhosis, the incidence rate was 3.78 per 100 person-years (95% CI, 2.47-5.78; I² = 93%). Patients with cirrhosis undergoing regular screening for HCC had an incidence rate of 4.62 per 100 person-years (95% CI, 2.77-7.72; I² = 77%).

CONCLUSIONS

Patients with NAFLD-related cirrhosis have a risk of developing HCC similar to that reported for patients with cirrhosis from other etiologies. Evidence documenting the risk in patients with nonalcoholic steatohepatitis or simple steatosis is limited, but the incidence of HCC in these populations may lie below thresholds used to recommend a screening. Well-designed prospective studies in these subpopulations are needed. The protocol for this systematic review is registered in the Prospero database (registration number CRD42018092861).

Histone Deacetylase Inhibitors in the Treatment of Hepatocellular Carcinoma: Current Evidence and Future Opportunities

Hepatocellular carcinoma (HCC) remains a major health problem worldwide with a continuous increasing prevalence. Despite the introduction of targeted therapies like the multi-kinase inhibitor sorafenib, treatment outcomes are not encouraging. The prognosis of advanced HCC is still dismal, underlying the need for novel effective treatments. Apart from the various risk factors that predispose to the development of HCC, epigenetic factors also play a functional role in tumor genesis. Histone deacetylases (HDACs) are enzymes that remove acetyl groups from histone lysine residues of proteins, such as the core nucleosome histones, in this way not permitting DNA to loosen from the histone octamer and consequently preventing its transcription. Considering that HDAC activity is reported to be up-regulated in HCC, treatment strategies with HDAC inhibitors (HDACIs) showed some promising results. This review focuses on the use of HDACIs as novel anticancer agents and explains the mechanisms of their therapeutic effects in HCC.

Patterns and co-occurrence of risk factors for hepatocellular carcinoma in four Asian American communities: a cross-sectional study

OBJECTIVES

To investigate risk factor patterns and the simultaneous occurrence of multiple risk factors in the viral, metabolic and lifestyle domains among Asian Americans, who have had the highest mortality rates from hepatocellular carcinoma (HCC).

SETTING

Sacramento County, California, USA.

PARTICIPANTS

Eligible participants were county residents ages 18 and older who had not been screened for chronic hepatitis B virus (HBV) and were born in a CDC-defined endemic area or whose parent was born in that area. Of 1004 enrolled, 917 were foreign-born Chinese (130 women, 94 men), Hmong (133 women, 75 men), Korean (178 women, 90 men) or Vietnamese (136 women, 81 men) with complete risk factor data.

PRIMARY AND SECONDARY OUTCOME MEASURES

We tested participants for HBV and chronic hepatitis C virus (HCV); measured haemoglobin A1c and waist circumference; and recorded self-reported history of diabetes, hypertension, alcohol use and smoking status. We identified risk factor patterns using cluster analysis and estimated gender-specific age-standardised prevalence rates.

RESULTS

We identified four patterns: (1) viral (chronic HBV or HCV); (2) lifestyle (current smoker or alcohol user, no viral); (3) metabolic (≥2 metabolic, no lifestyle or viral); and (4) lower risk (≤1 metabolic, no lifestyle or viral). Vietnamese men (16.3%, 95% CI 7.4% to 25.3%) and Hmong women (15.1%, 95% CI 7.8% to 22.5%) had the highest viral pattern prevalence. Hmong women had the highest metabolic (37.8%, 95% CI 29.8% to 45.9%), and Vietnamese men the highest lifestyle (70.4%, 95% CI 59.1% to 81.7%) pattern prevalence. In multiple domains, Hmong men and women were most likely to have viral+metabolic risk factors (men: 14.4%, 95% CI 6.0% to 22.7%; women: 11.9%, 95% CI 5.6% to 18.3%); Vietnamese men were most likely to have lifestyle+viral (10.7%, 95% CI 2.7% to 18.8%), and lifestyle+metabolic but not viral (46.4%, 95% CI 34.4% to 58.5%) risk factors.

CONCLUSIONS

Efforts to reduce HCC must comprehensively address multiple risk factors.

TRIAL REGISTRATION NUMBER

NCT02596438.

Hepatocellular Carcinoma Outcome Is Predicted by Expression of Neuronal Calcium Sensor 1

Background: Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. There is an urgent demand for prognostic biomarkers that facilitate early tumor detection, as the incidence of HCC has tripled in the United States in the last three decades. Biomarkers to identify populations at risk would have significant impact on survival. We recently found that expression of Neuronal Calcium Sensor 1 (NCS1), a Ca2+-dependent signaling molecule, predicted disease outcome in breast cancer, but its predictive value in other cancer types is unknown. This protein is potentially useful because increased NCS1 regulates Ca2+ signaling and increased Ca2+ signaling is a hallmark of metastatic cancers, conferring cellular motility and an increasingly aggressive phenotype to tumors.Methods: We explored the relationship between NCS1 expression levels and patient survival in two publicly available liver cancer cohorts and a tumor microarray using data mining strategies.Results: High NCS1 expression levels are significantly associated with worse disease outcome in Asian patients within these cohorts. In addition, a variety of Ca2+-dependent and tumor growth-promoting genes are transcriptionally coregulated with NCS1 and many of them are involved in cytoskeleton organization, suggesting that NCS1 induced dysregulated Ca2+ signaling facilitates cellular motility and metastasis.Conclusions: We found NCS1 to be a novel biomarker in HCC. Furthermore, our study identified a pharmacologically targetable signaling complex that can influence tumor progression in HCC.Impact: These results lay the foundation for using NCS1 as a prognostic biomarker in prospective cohorts of HCC patients and for further functional assessment of the characterized signaling axis. Cancer Epidemiol Biomarkers Prev; 27(9); 1091-100. ©2018 AACR.

Gastrin inhibits gastric cancer progression through activating the ERK-P65-miR23a/27a/24 axis

BACKGROUND

To test the hypothesis that activated extracellular signal-regulated kinase (ERK) regulates P65-miR23a/27a/24 axis in gastric cancer (GC) and the ERK-P65-miR23a/27a/24 axis plays an important role in the development of GC, and to evaluate the role of gastrin in GC progression and ERK-P65-miR23a/27a/24 axis.

METHODS

The component levels of the ERK-P65-miR23a/27a/24 axis in four fresh GC tissues, 101 paraffin-embedded GC tissues and four GC cell lines were determined by Western blotting, immunohistochemistry (IHC) or qRT-PCR. The effects of gastrin on GC were first evaluated by measuring gastrin serum levels in 30 healthy and 70 GC patients and performing a correlation analysis between gastrin levels and survival time in 27 GC patients after eight years of follow-up, then evaluated on GC cell lines, GC cell xenograft models, and patient-derived xenografts (PDX) mouse models. The roles of ERK-P65-miR23a/27a/24 axis in GC progression and in the effects of gastrin on GC were examined.

RESULTS

ERK- P65-miR23a/27a/24 axis was proved to be present in GC cells. The levels of components of ERK-P65-miR23a/27a/24 axis were decreased in GC tissue samples and PGC cells. The decreased levels of components of ERK-P65-miR23a/27a/24 axis were associated with poor prognosis of GC, and ERK-P65-miR23a/27a/24 axis played a suppressive role in GC progression. Low blood gastrin was correlated with poor prognosis of the GC patients and decreased expression of p-ERK and p-P65 in GC tissues. Gastrin inhibited proliferation of poorly-differentiated GC (PGC) cells through activating the ERK-P65-miR23a/27a/24 axis. Gastrin inhibited GC growth and enhanced the suppression of GC by cisplatin in mice or PGC cell culture models through activating the ERK-P65-miR23a/27a/24 axis or its components.

CONCLUSIONS

ERK-P65-miR23a/27a/24 axis is down-regulated, leading to excess GC growth and poor prognosis of GC. Low gastrin promoted excess GC growth and contributed to the poor prognosis of the GC patients by down-regulating ERK-P65-miR23a/27a/24 axis. Gastrin inhibits gastric cancer growth through activating the ERK-P65-miR23a/27a/24 axis.