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Background & aimsIt is important to quantify medical costs associated with hepatocellular carcinoma (HCC), the incidence of which is rapidly increasing in the United States, for development of rational healthcare policies related to liver cancer surveillance and treatment of chronic liver disease. We aimed to comprehensively quantify healthcare costs for HCC among patients with cirrhosis in an integrated health system and develop a model for predicting costs that is based on clinically relevant variables.MethodsThree years subsequent to liver cancer diagnosis, costs accrued by patients included in the Veteran's Outcome and Cost Associated with Liver disease cohort were compiled by using the Department of Veterans Affairs Corporate Data Warehouse. The cohort includes all patients with HCC diagnosed in 2008-2010 within the VA with 100% chart confirmation as well as chart abstraction of tumor and clinical characteristics. Cancer cases were matched 1:4 with non-cancer cirrhosis controls on the basis of severity of liver disease, age, and comorbidities to estimate background cirrhosis-related costs. Univariable and multivariable generalized linear models were developed and used to predict cancer-related overall cost.ResultsOur analysis included 3188 cases of HCC and 12,722 controls. The mean 3-year total cost of care in HCC patients was $154,688 (standard error, $150,953-$158,422) compared with $69,010 (standard error, $67,344-$70,675) in matched cirrhotic controls, yielding an incremental cost of $85,679; 64.9% of this value reflected increased inpatient costs. In univariable analyses, receipt of transplantation, Barcelona Clinic Liver Cancer (BCLC) stage, liver disease etiology, hospital academic affiliation, use of multidisciplinary tumor board, and identification through surveillance were associated with cancer-related costs. Multivariable generalized linear models incorporating transplantation status, BCLC stage, and multidisciplinary tumor board presentation accurately predicted liver cancer-related costs (Hosmer-Lemeshow goodness of fit; P value ≅ 1.0).ConclusionsIn a model developed to comprehensively quantify healthcare costs for HCC among patients with cirrhosis in an integrated health system, we associated receipt of liver transplantation, BCLC stage, and multidisciplinary tumor board with higher costs. Models that predict total costs on the basis of receipt of liver transplantation were constructed and can be used to model cost-effectiveness of therapies focused on HCC prevention.

BackgroundThe Child-Turcotte-Pugh (CTP) score is a widely used and validated predictor of long-term survival in cirrhosis. However, the cutpoints for stratifying laboratory variables in CTP have never been validated.ObjectiveThe objective of this study was to identify evidence-based cutpoints for the CTP laboratory subscores to improve its predictive capacity for transplant-free survival.DesignRetrospective observational study.Data sourceUsing a cohort of 30,897 cirrhotic US Veteran patients with at least 5 years of follow-up, we performed Cox proportional hazard survival model iterations varying the upper and lower cutpoints for INR, total bilirubin and albumin CTP subscores. Cutpoints yielding the highest Harrell's C-statistics for concordance with transplant-free survival were incorporated into a modified CTP (mCTP) score. Validation of the mCTP was performed at multiple time frames within the follow-up period of the cohort and within subsets defined by disease etiology.ResultsModification of CTP cutpoints increased the Harrell's C-statistic for age- and gender-adjusted Cox proportional hazard models from 0.701 ± 0.002 to 0.709 ± 0.002 and the risk ratio per unit change from 1.49 (1.48-1.50) to 1.53 (1.52-1.54). The modified cutpoints showed superiority in predicting 5-year transplant-free survival in various disease etiology subgroups. A mCTP substituting serum creatinine for INR performed superiorly for predicting 5-year transplant-free survival.ConclusionWe propose an evidence-based recalibration of CTP score cutpoints that optimizes this model's capacity to predict transplant-free survival in patients with cirrhosis. The CTP score remains the best predictor of 5-year overall and transplant-free survival in patients with cirrhosis.

BackgroundAs the era of interferon-alpha (IFN)-based therapy for hepatitis C ends, long-term treatment outcomes are now being evaluated.AimTo more fully understand the natural history of hepatitis C infection by following a multisite cohort of patients.MethodsPatients with chronic HCV were prospectively enrolled in 1999-2000 from 11 VA medical centers and followed through retrospective medical record review.ResultsA total of 2211 patients were followed for an average of 8.5 years after enrollment. Thirty-one percent of patients received HCV antiviral therapy, 15 % with standard IFN/ribavirin only, 16 % with pegylated IFN/ribavirin, and 26.7 % of treated patients achieved sustained virologic response (SVR). Cirrhosis developed in 25.8 % of patients. Treatment nonresponders had a greater than twofold increase in the hazard of cirrhosis and hepatocellular carcinoma, compared to untreated patients, whereas SVR patients were only marginally protected from cirrhosis. Nearly 6 % developed hepatocellular carcinoma, and 27.1 % died during the follow-up period. Treated patients, regardless of response, had a significant survival benefit compared to untreated patients (HR 0.58, CI 0.46-0.72). Improved survival was also associated with college education, younger age, lower levels of alcohol consumption, and longer duration of medical service follow-up-factors typically associated with treatment eligibility.ConclusionsAs more hepatitis C patients are now being assessed for all-oral combination therapy, these results highlight that patient compliance and limiting harmful behaviors contribute a significant proportion of the survival benefit in treated patients and that the long-term clinical benefits of SVR may be less profound than previously reported.

Background & methodsThe Child-Turcotte-Pugh (CTP) score is a widely used and validated predictor of long-term survival in cirrhosis. The CTP score is a composite of 5 subscores, 3 based on objective clinical laboratory values and 2 subjective variables quantifying the severity of ascites and hepatic encephalopathy. To date, no system to quantify CTP score from administrative databases has been validated. The Veterans Outcomes and Costs Associated with Liver Disease study is a multicenter collaborative study to evaluate the outcomes and costs of hepatocellular carcinoma in the U.S. Veterans Health Administration. We developed and validated an algorithm to calculate electronic CTP (eCTP) scores by using data from the Veterans Health Administration Corporate Data Warehouse.MethodsMultiple algorithms for determining each CTP subscore from International Classification of Diseases version 9, Common Procedural Terminology, pharmacy, and laboratory data were devised and tested in 2 patient cohorts. For each cohort, 6 site investigators (Boston, Bronx, Brooklyn, Philadelphia, Minneapolis, and West Haven VA Medical Centers) were provided cases from which to determine validity of diagnosis, laboratory data, and clinical assessment of ascites and encephalopathy. The optimal algorithm (designated eCTP) was then applied to 30,840 cirrhotic patients alive in the first quarter of 2008 for whom 5-year overall and transplant-free survival data were available. The ability of the eCTP score and other disease severity scores (Charlson-Deyo index, Veterans Aging Cohort Study index, Model for End-Stage Liver Disease score, and Cirrhosis Comorbidity) to predict survival was then assessed by Cox proportional hazards regression.ResultsSpearman correlations for administrative and investigator validated laboratory data in the HCC and cirrhotic cohorts, respectively, were 0.85 and 0.92 for bilirubin, 0.92 and 0.87 for albumin, and 0.84 and 0.86 for international normalized ratio. In the HCC cohort, the overall eCTP score matched 96% of patients to within 1 point of the chart-validated CTP score (Spearman correlation, 0.81). In the cirrhosis cohort, 98% were matched to within 1 point of their actual CTP score (Spearman, 0.85). When applied to a cohort of 30,840 patients with cirrhosis, each unit change in eCTP was associated with 39% increase in the relative risk of death or transplantation. The Harrell C statistic for the eCTP (0.678) was numerically higher than those for other disease severity indices for predicting 5-year transplant-free survival. Adding other predictive models to the eCTP resulted in minimal differences in its predictive performance.ConclusionWe developed and validated an algorithm to extrapolate an eCTP score from data in a large administrative database with excellent correlation to actual CTP score on chart review. When applied to an administrative database, this algorithm is a highly useful predictor of survival when compared with multiple other published liver disease severity indices.

Simple Summary: Emerging evidence suggests that altered gut microbiota composition has the potential to promote hepatocellular carcinoma development and progression. This review outlines the role of gut microbiota in causing hepatocellular carcinoma, investigates its value in improving the its outcome after early diagnosis, and summarizes the latest progress regarding its potential for hepatocellular carcinoma therapy. In recent decades, gut microbiota have received emerging attention regarding their integral role in chronic liver disease progression, given the anatomic connection and the gut–liver axis. Emerging evidence has indicated a complex link between gut microbiota and hepatocellular carcinoma. This review explores the pathophysiological crosstalk between gut dysbiosis and hepatocarcinogenesis. The metabolic and immunologic effects mediated by gut-microbiota-derived metabolites, such as bile acids, short-chain fatty acids, and alcohol, could impact the aberrant biological behavior of hepatocellular carcinoma. This review also investigates the value of gut microbiota as novel non-invasive diagnostic biomarkers for the early detection of hepatocellular carcinoma, and summarizes the changes in the gut microbiota spectrum in patients with liver cancer. The current literature and studies on the role of the gut microbiota as adjuvant agents in liver cancer immunotherapy are reviewed. [ABSTRACT FROM AUTHOR]

Ascites in patients with end-stage liver disease and resultant portal hypertension worsens prognosis and accelerates mortality of up to 40% within one year and 50% within two years. In case of refractory ascites, median survival often does not exceed six months due to the development of complications including spontaneous bacterial peritonitis, hyponatremia and renal failure. Additionally, ascites hinders quality of life (QOL) and its management poses a challenge. Sodium restriction and diuresis are the first line treatment which may be limited by renal failure and/or hypotension. Diuretic-resistant ascites may necessitate periodic large volume paracentesis which is invasive and provides only temporary relief. Alternatively, refractory ascites can be curtailed with creation of a trans-jugular intrahepatic portosystemic shunt in very selective patients due to the shunt's propensity to exacerbate hepatic encephalopathy and heart failure. The alfapump system, a novel innovation, is an investigational therapy for ascites management. It is a remotely-rechargeable, battery-operated, subcutaneously implantable device that is designed to continuously divert intraperitoneal ascites into the bladder without external components. This invention is aimed to significantly improve the QOL for patients with ascites. [ABSTRACT FROM AUTHOR]

Background: The preoperative selection of patients with intermediate-stage hepatocellular carcinoma (HCC) who are likely to have an objective response to first transarterial chemoembolization (TACE) remains challenging. Objective: To develop and validate a clinical-radiomic model (CR model) for preoperatively predicting treatment response to first TACE in patients with intermediate-stage HCC. Methods: A total of 595 patients with intermediate-stage HCC were included in this retrospective study. A tumoral and peritumoral (10 mm) radiomic signature (TPR-signature) was constructed based on 3,404 radiomic features from 4 regions of interest. A predictive CR model based on TPR-signature and clinical factors was developed using multivariate logistic regression. Calibration curves and area under the receiver operating characteristic curves (AUCs) were used to evaluate the model's performance. Results: The final CR model consisted of 5 independent predictors, including TPR-signature (p < 0.001), AFP (p = 0.004), Barcelona Clinic Liver Cancer System Stage B (BCLC B) subclassification (p = 0.01), tumor location (p = 0.039), and arterial hyperenhancement (p = 0.050). The internal and external validation results demonstrated the high-performance level of this model, with internal and external AUCs of 0.94 and 0.90, respectively. In addition, the predicted objective response via the CR model was associated with improved survival in the external validation cohort (hazard ratio: 2.43; 95% confidence interval: 1.60–3.69; p < 0.001). The predicted treatment response also allowed for significant discrimination between the Kaplan-Meier curves of each BCLC B subclassification. Conclusions: The CR model had an excellent performance in predicting the first TACE response in patients with intermediate-stage HCC and could provide a robust predictive tool to assist with the selection of patients for TACE. [ABSTRACT FROM AUTHOR]

The article presents the discussion on World Hepatitis Day being observed on July 28 for raising awareness and understanding viral hepatitis with the availability of interferon-free and highly effective direct acting antiviral agents (DAA).

Chronic hepatitis C virus (HCV) infection affects approximately 1.3% of the United States population and 4% of veterans who use Department of Veterans Affairs medical services. Chronic HCV is the primary cause of cirrhosis, hepatocellular carcinoma (HCC), and end-stage liver disease requiring liver transplantation in the United States. Management of chronic HCV is aimed at halting disease progression, preventing cirrhosis decompensation, reducing the risk of HCC, and treating extrahepatic complications of the infection. As part of a comprehensive HCV management strategy, peginterferon alfa and ribavirin, along with the addition of a hepatitis C protease inhibitor therapy for many genotype 1-infected patients, are the current standard of care. Antiviral therapy should be provided to those individuals who are clinically stable, have moderate liver disease or compensated cirrhosis, and are motivated to pursue therapy. Many patients have comorbid medical and psychiatric conditions, which may affect their adherence to antiviral therapy or worsen while on antiviral therapy. To optimally manage hepatitis C and associated comorbidities, patients benefit from multidisciplinary teams that can provide HCV-specific care and treatment. Sustained virologic response is associated with 'cure' of chronic HCV, and results in improved liver disease outcomes and prolonged survival. [ABSTRACT FROM AUTHOR]

The article discusses a study on Six Sigma and Lean Thinking in health care. The study described Six Sigma and Lean Thinking as quality initiatives that improve operational efficiency in health care and examined the implementation of Six Sigma approach at the Stratton Veterans Affairs Medical Center in Albany, New York. It was found that the team approach, the buy in of the stakeholders and the willingness of team members were the most important lessons learned in implementing Six Sigma methodology.

A letter to the editor in response to the article "Screening for liver cancer: the rush to judgment," by Frank A. Lederle and Christine Pocha and a response by them to the same is presented.

Objective: The objective was to determine the impact of stimulant use on antiviral treatment for chronic hepatitis C patients in an integrated hepatitis clinic. Methods: A retrospective chart review of 449 consecutive patients seen in an integrated hepatitis clinic that included co-located mental health clinicians was performed. Psychiatric measures included drug use questionnaire, Beck Depression Inventory (BDI), Alcohol Use Disorders Identification Test-Consumption questions (AUDIT-C), urine drug screen and antiviral treatment outcomes. Patients with stimulant use were compared to patients with no drug use, other drug users and an unknown drug use group using χ² and analysis of variance tests. Results: Over 15% of hepatitis C patients presenting to the clinic were using stimulants. Stimulant users had higher BDI and AUDIT-C scores. They were more likely to be followed by a co-located mental health clinician than other groups and were just as likely to initiate and finish antiviral therapy. Conclusions: Recent stimulant use is common in hepatitis C patients presenting to a hepatitis clinic. Stimulant users were more depressed and used alcohol to a greater degree than nonusers but were as likely to start antiviral therapy. An integrated mental health/medical care approach appears to be effective in addressing this difficult-to-treat population. [ABSTRACT FROM AUTHOR]

Background: At present, there are no definitive optimal treatment options for patients with hepatocellular carcinoma (HCC) following first-line treatment failure. To maximize the survival benefit of patients, we compared the combination therapy of regorafenib and programmed death-1 (PD-1) inhibitors with regorafenib monotherapy as a second-line treatment for patients with advanced HCC., Methods: Our multicenter retrospective study evaluated consecutive patients with advanced HCC who received regorafenib plus PD-1 inhibitors or regorafenib alone as a later-line therapy from May 2019 to January 2022. The primary endpoint was progression-free survival (PFS), and the secondary endpoints included the objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety. Efficacy was evaluated using the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 criteria, and safety was assessed by Common Terminology Criteria for Adverse Events (CTCAE) v5.0., Results: A total of 133 patients were included in the study (regardless of first-line treatment), including 94 who received regorafenib plus PD-1 inhibitors and 39 who received regorafenib. The regorafenib plus PD-1 inhibitors group had a significantly higher ORR (25.53% vs. 10.26%, P=0.015), higher DCR (87.23% vs. 66.67%, P=0.006), and longer PFS (median 9.0 vs. 4.0 months, P<0.0001) than the regorafenib group. Meanwhile, the median OS (mOS) did not differ between the regorafenib plus PD-1 and regorafenib monotherapy groups {mOS, 14.0 months [95% confidence interval (CI), 14.0-16.0 months] vs. 12.0 months (95% CI, 10.0-22.0 months)}. There was no notable difference in the total incidence of treatment-related adverse effects (TRAEs) (71.79% vs. 78.72%, P=0.39) and the incidence of grade 3/4 serious adverse effects (5.13% vs. 18.09%, P=0.19) between the regorafenib monotherapy group and PD-1 inhibitors combination group., Conclusions: Compared with regorafenib alone, regorafenib combined with PD-1 inhibitors therapy increased PFS, ORR but did not improve OS, and can be used an option in second-line HCC therapy, regardless of first-line treatments. Regorafenib combined with PD-1 inhibitors is recommended as early as a second-line therapy to benefit patients. The combination regimen was as safe as regorafenib monotherapy for treatment of HCC in patients with compensated liver disease [Child-Turcotte-Pugh (CTP) A/B]., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-6614/coif). TBC received honoraria from BMS and Bayer for advisory boards and lectures. The other authors have no conflicts of interest to declare., (2023 Annals of Translational Medicine. All rights reserved.)

Background: Circular RNAs (circRNAs) are important for the process of cancer initiation and progression. However, the role of circRNAs in hepatocellular carcinoma (HCC) remains incompletely understood. Therefore, we further explored the expression network of circRNAs in HCC., Methods: Whole-transcriptome microarrays of HCC and paired normal liver tissues were obtained from the Gene Expression Omnibus (GEO) database. The structures of tumor-associated circRNAs were acquired by the Cancer-Specific CircRNA Database (CSCD). StarBase, circBank, and R packages (miRNAtap and multiMiR) were used to predict miRNA targets of circRNAs and downstream molecules of miRNAs. Expression relationships between RNA-RNA interactions were evaluated by data from The Cancer Genome Atlas (TCGA) and GEO databases. ClusterProfiler and DOSE R packages were used for pathway enrichment to explore the biological functions of potential target genes. Finally, a possible circRNA-miRNA-mRNA regulatory network was established based on the competing endogenous RNA (ceRNA) hypothesis., Results: The differentially expressed circRNAs (DECs) were matched with cancer-specific circRNAs in the CSCD database and a screening analysis was performed to obtain 5 cancer-specific circRNAs. A total of 329 possible target miRNAs for 5 cancer-specific circRNAs were predicted by the circBank database, and intersection analysis with differentially expressed miRNAs (DEmiRNAs) revealed that miR-6746-3p and miR-96-5p were the two most suitable miRNAs targets for our selected circRNAs. Further expression verification and prediction of base complementary paired binding sites demonstrated the hsa&#95;circ&#95;0039466/miR-96-5p axis as a crucial pathway in HCC. Next, we found that FOXO1 and LEPR were two potential downstream molecules of the hsa&#95;circ&#95;0039466/miR-96-5p axis through target gene prediction analysis, differential expression analysis, and intersection analysis. The pathway enrichment results suggested that the hsa&#95;circ&#95;0039466/miR-96-5p axis affects the progression and outcome of HCC through the insulin resistance pathway. Finally, through multi-data crossover analysis and data analysis of HCC samples further confirmed the existence of the hsa&#95;circ&#95;0039466/miR-96-5p/FOXO1 ceRNA regulatory network and that the axis was closely related to clinical stage., Conclusions: hsa&#95;circ&#95;0039466 facilitates the expression of FOXO1 by sponging miR-96-5p, and ultimately inhibits tumor progression. These results provide a theoretical basis for further understanding of the gene expression network of HCC., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-3147/coif). DR reports consulting fees from Medtronic’s liver ablation division from speaker’s bureau and medical device development unit. The other authors have no conflicts of interest to declare., (2022 Annals of Translational Medicine. All rights reserved.)

Background: Cancer-associated metabolic reprogramming promotes cancer cell differentiation, growth, and influences the tumor immune microenvironment (TIME) to promote hepatocellular carcinoma (HCC) progression. However, the clinical significance of metabolism-related lncRNA remains largely unexplored., Methods: Based on The Cancer Genome Atlas (TCGA) Liver hepatocellular carcinoma (LIHC) dataset, we identified characteristic prognostic long non-coding RNAs (lncRNAs) and construct metabolism-related lncRNA prognostic signature for HCC. Gender, age, grade, stage and TP53 status were used as covariates were used to assess the prognostic capacity of the characteristic lncRNA signature. Subsequently, the molecular and immune characteristics and drug sensitivity in metabolism-related lncRNA signature defined subgroups were analyzed., Results: We identified 34 metabolism-related lncRNAs significantly associated with the prognosis of HCC (P<0.05). Subsequently, we constructed a multigene signature based on 9 characteristics prognostic lncRNAs and classified HCC patients into high- and low-risk groups based on cutoff values. We found the lncRNA signature [hazard ratio (HR) =3.55 (2.44-5.15), P<0.001] to be significantly associated with survival. The receiver operating characteristic curve (ROC) curves area under the curve (AUC) values for 1-, 3-, and 5-year survival were 0.811, 0.773, and 0.753, respectively. In univariate and multivariate Cox regression analyses, prognostic characteristic lncRNAs were the most crucial prognostic factor besides the stage. The prognostic signature was subsequently validated in the test set. In addition, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) analyses revealed potential biological features and signaling pathways associated with the prognostic signature. We constructed a nomogram including risk groups and clinical parameters (age, gender, grade, and stage). Calibration plots and decision curve analysis (DCA) showed that our nomogram had a good predictive performance. Finally, we found reduced expression of immune-activated cells in the high-risk group., Conclusions: The metabolism-related lncRNA signature is a promising biomarker to distinguish the prognosis and an immune characteristic in HCC., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-2194/coif). The authors have no conflicts of interest to declare., (2022 Annals of Translational Medicine. All rights reserved.)

Hepatocellular cancer (HCC) is a cancer with an overall poor prognosis and an alarming globally rising incidence. While viral etiology of chronic liver disease and HCC is down-trending, alcohol and excess calorie intake have emerged as major culprits. Alcohol related liver disease (ALD) and non-alcoholic fatty liver disease (NAFLD) share similar pathogenetic mechanism of hepatic injury and in promoting development of HCC; yet some genetic and epigenetic features are distinct and may promise clinical utility. Population based intervention are urgently needed to reduce alcohol use and improve metabolic factors such as obesity and diabetes. The goal is to identify at-risk patients, to link these patients to care and to provide effective management of chronic liver disease and HCC. This review focuses on the epidemiology, pathophysiology including genetic and epigenetic altercation as well as clinical aspects of ALD and NAFLD associated HCC., Competing Interests: Conflicts of Interest: The authors have no conflicts of interest to declare., (2019 Translational Gastroenterology and Hepatology. All rights reserved.)

Background and Aims: Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed for patients with chronic hepatitis C virus (HCV) infection. Research suggests that serotonin promotes the development and growth of hepatocellular carcinoma (HCC). We tested the hypothesis whether exposure to SSRIs is associated with an increased risk of HCC in HCV patients., Method: Patients who entered the United States Veterans Affairs (VA) Hepatitis C Clinical Case Registry in 2000 to 2009 were analyzed. During the 8 years of follow-up, 36,192 patients filled at least 1 SSRI prescription. Cases of HCC were identified by diagnosis codes (ICD-9 155.0). Multivariable Cox regression analyses estimated adjusted HCC hazard ratios (HRs) for SSRI-exposed versus SSRI-unexposed subjects and categories of average SSRI doses., Results: The annual incidence of HCC in the VA registry cohort of 109,736 patients was 0.5% and significantly greater in the 8% with cirrhosis at baseline (HR = 5.2; 95% CI, 4.7-5.7). There was no evidence for significant interactions between the effect of SSRI-exposure and cirrhosis. Baseline characteristics of the exposed (n = 36,192) and unexposed (n = 73,544) subjects were similar. The median (interquartile range [IQR]) follow-up period after SSRI-exposure began was 44 (20-74) months with 18 (3-49) months between the first and last prescription. The median average SSRI dose during follow-up expressed as a fraction of initial recommended doses for depression was 0.94 (IQR, 0.5 to 1.3). The risk of HCC was not significantly increased after SSRI exposure (HR = 0.96; 95% CI, 0.87-1.05) or with increasing SSRI doses., Conclusions: Analysis of a large cohort of HCV patients did not support the hypothesis that SSRIs increase the risk of developing HCC., (© Copyright 2014 Physicians Postgraduate Press, Inc.)