Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Improved survival after treatments of patients with nonalcoholic fatty liver disease associated hepatocellular carcinoma


Worldwide, nonalcoholic fatty liver disease (NAFLD) has reached epidemic proportions and in parallel, hepatocellular carcinoma (HCC) has become one of the fastest growing cancers. Despite the rise in these disease entities, detailed long-term outcomes of large NAFLD-associated HCC cohorts are lacking. In this report, we compared the overall and recurrence-free survival rates of NAFLD HCC cases to patients with HBV and HCV-associated HCC cases. Distinguishing features of NAFLD-associated HCC patients in the cirrhosis and non-cirrhosis setting were also identified. We conducted a retrospective study of 125 NAFLD, 170 HBV and 159 HCV HCC patients, utilizing clinical, pathological and radiographic data. Multivariate regression models were used to study the overall and recurrence-free survival. The overall survival rates were significantly higher in the NAFLD-HCC cases compared to HBV-HCC (HR = 0.35, 95% CI 0.15–0.80) and HCV-HCC (HR = 0.37, 95% CI 0.17–0.77) cases. The NAFLD-HCC patients had a trend for higher recurrence-free survival rates compared to HBV and HCV-HCC cases. Within the NAFLD group, 18% did not have cirrhosis or advanced fibrosis; Hispanic ethnicity (OR = 12.34, 95% CI 2.59–58.82) and high BMI (OR = 1.19, 95% CI 1.07–1.33) were significantly associated with having cirrhosis. NAFLD-HCC cases were less likely to exhibit elevated serum AFP (p < 0.0001). After treatments, NAFLD-related HCC patients had longer overall but not recurrence-free survival rates compared to patients with viral-associated HCC. Non-Hispanic ethnicity and normal BMI differentiated non-cirrhosis versus cirrhosis NAFLD HCC. Further studies are warranted to identify additional biomarkers to stratify NAFLD patients without cirrhosis who are at risk for HCC.


The metabolic syndrome, defined by the clustering of biochemical and clinical features, which includes type 2 diabetes (T2D), hypertension, dyslipidemia and obesity, has increased to epidemic proportions1. Non-alcoholic fatty liver disease (NAFLD), the liver manifestation of the metabolic syndrome, has increased in parallel and is now the most common cause of liver disease in the United States2. NAFLD can lead to nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and finally, hepatocellular carcinoma (HCC)3. NAFLD and its complications are predicted to continue to increase over the next decade, which is a reflection of the high prevalence of obesity/diabetes, progression of disease, and the aging patient population4. Therefore, NAFLD will have a growing burden on society, especially given the lack of optimal current therapies for NASH.

HCC burden has also shown an increase, doubling in incidence and mortality over the last decade, which has placed economic strains on health care5. Historically, chronic viral hepatitis etiologies were the main drivers of HCC; however, more recently, NAFLD and related metabolic factors have emerged as the most dominant risk factors with the highest population attributable fraction6,7,8. Although, the majority of NAFLD and NASH-related HCC cases occur in a cirrhosis background, non-cirrhosis HCC cases have been described to occur in up to 50% of cases9,10. Features of the metabolic syndrome - more specifically T2D - are highly associated with HCC development11. In a 26-year follow-up study from the Nurses’ Health Study and Health Professional Follow-up Study, the duration of T2D and the number of features of the metabolic syndrome were associated with HCC development in patients with and without cirrhosis12. Other large epidemiological HCC studies have also been instrumental in developing the understanding of clinical outcomes of the different causes of HCC6. However, the gold standard of detailed liver histology to diagnose NAFLD and NASH tend to lack from such large epidemiological reports13. Consequently, smaller studies with well-characterized phenotypic data have helped shed more light on the nuances of NAFLD HCC, although their small sample sizes and short follow up times have limited their generalizability14,15. As orthotopic liver transplantation (OLT) remains one of the only curative treatment for all etiologies of HCC16, understanding the natural history of HCC must be done in the context of regional variations of OLT17,18. Accordingly, there is an unmet need to study the implications of NAFLD and NASH in both cirrhotic and non-cirrhotic HCC with detailed pathologic data in different geographical regions of the transplantation allocation system.

Early HCC detection has been shown to improve survival19,20,21. Current society guidelines only recommend HCC screening in patients with cirrhosis or those with high risk features of chronic hepatitis B (HBV) infection22. This creates a clinical dilemma given the number of patients with NAFLD, the increase in HCC incidence and the potential for cancer in non-cirrhosis population not currently targeted for screening23. Thus, identifying clinical risk factors in NAFLD-associated HCC may provide valuable insight into identification and stratification of an “at-risk” patient population with NAFLD that may benefit from screening.

Accordingly, we aimed to study the overall and recurrence-free survival rates of NAFLD-associated HCC in cirrhosis and non-cirrhosis patients and compared their overall and recurrence-free survival outcomes to chronic viral etiologies of HCC in a large, diverse liver transplantation center in Los Angeles.

Materials and Methods

The study was approved by the Institutional Review Board of the University of California, Los Angeles (IRB#17-000015). All methods were performed in accordance with the relevant guidelines and regulations. Informed consent was waived given the retrospective nature of our study, as determined by the IRB.

Data source

This is a retrospective case-case comparison of NAFLD-HCC (including NASH) with chronic viral hepatitis (HBV and HCV) associated HCC cases24. Our data source for the NAFLD-HCC cases were evaluated between 1/1/2000 to 12/31/2016 and comprised of the UCLA Jonsson Comprehensive Care Center (JCCC) cancer registry as well as review of liver surgery, hepatology, and oncology clinic patient visits identified in the UCLA Electronic Medical Records (EMR). For further details on data source and case definitions, please see supplemental material.

NAFLD-, HBV-, and HCV-HCC case definitions

All adult NAFLD HCC cases (men and women ≥ 18 years) who did not report excessive alcohol consumption as defined by the AASLD guidelines (>21 standard drinks on average per week for men and >14 standard drinks on average in women) were included. NAFLD HCC cases included all patients with a diagnosis of NAFLD, NASH (as determined by a hepatologist and/or review of the histological data), and cryptogenic cirrhosis, given that many patients with NAFLD and NASH had previously been misclassified as having cryptogenic cirrhosis3,25. Those patients with an additional diagnosis of HBV (HBV positive surface antigen), HCV (positive HCV RNA or history of HCV treatment with or without sustained virological response after treatment), primary biliary cholangitis, primary sclerosis cholangitis, alpha-1 anti-trypsin, Wilson disease and hemochromatosis were excluded from the NAFLD-HCC case group. Patients with mixed HCC and cholangiocarcinoma on pathology report were also excluded.

HBV and HCV related HCC cases were identified from a previously created data set of patients evaluated at the Liver Center in Pasadena, CA from 1984 to 201419. Of the 333 HBV and HCV cases, four HBV and HCV co-infected patients were excluded from the HBV- and HCV-HCC cases. Therefore, 125, 170 and 159 patients were included in the NAFLD, HBV and HCV cohorts, respectively. Of note, in the NAFLD cohort, one patient had possible autoimmune hepatitis versus NASH, two patients had a positive HCV antibody (but without a positive RNA PCR or a history of HCV treatment, thus indicating a false positive or spontaneous clearance in the past without the development of chronic hepatitis as confirmed by the treating hepatologist), and one patient was homozygous for C282Y mutation with elevated ferritin (>1000), but did not show evidence of iron overload on pathology.

HCC cases were defined as anyone with evidence of Li-RADS-5 lesions on a contrast-enhanced study with CT or MRI or evidence of HCC on liver biopsy or on evaluation of the explanted liver (including autopsy in the event of death). Alpha-fetoprotein (AFP) was considered elevated if it was ≥ 10 ng/ml.

Baseline laboratory and clinical data

All patients who met inclusion criteria had laboratory and clinical data and body mass index (BMI) evaluated within 6 months of the time of HCC diagnosis. If patients had laboratory data after 6 months from the time of HCC diagnosis, they were included in the final recurrence analyses without their laboratory data. Hypertension, dyslipidemia, T2D and glucose intolerance were defined by diagnosis (by ICD codes or from review of cardiology notes) or being on a medication associated with that diagnosis. For patients with a diagnosis of dyslipidemia, statin usage was recorded.

HCC tumor characteristics

Tumor number and size were collected for all patients from contrast-enhanced cross sectional imaging (MRI and CT). Pathology data (from biopsy, explant, or resections) were reviewed when available. Studies done outside UCLA (interpreted locally or outside the institution) were included if local imaging data were not available. Abdominal ultrasound data were excluded. Tumors’ sizes were determined using those meeting Li-RADS-5 criteria26. Tumors measuring <2 cm on initial imaging study were included if they were confirmed as HCC on subsequent studies by imaging or pathology data. HCC cases were classified using the Milan criteria (single lesion 5 cm, maximum of three lesions with none>3 cm) and by the University of California at San Francisco (UCSF) criteria (single lesion 6.5 cm, maximum of three lesions with none>4.5 cm, or a total tumor burden of 8 cm). Metastasis was determined based on abdominal CT or MRIs as well as CT chest and bone scans.

HCC treatment

HCC treatments were recorded for all patients, including when multiple therapies when conducted. Since many patients had several therapies, we defined most definitive to least definitive treatments as follows: OLT, hepatic resection (hepatectomy, segmentectomy, lobectomy), RFA (radiofrequency ablation), percutaneous ethanol injection (PEI), trans-arterial TACE/Y-90, systemic therapy, and supportive care (including hospice).


We identified outcomes that occurred during the time period starting from the most definitive treatment through recurrence-free survival (composite event of death or recurrence) or overall survival (without recurrence). This was conducted for all treatment groups with the exception of the “Supportive” group (since they did not receive any therapy). We defined recurrent cases using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria27 for those treated with trans-arterial chemoembolization (TACE) or Y-90. RESICT criteria28 were used for those treated with other modalities of locoregional therapy such as RFA. We excluded any lesions that did not meet Li-RADS-5 criteria or if a study was done outside of UCLA without contrast agent. HCC screening/surveillance was defined as bi-annual abdominal ultrasounds or other imaging modalities (contrast enhanced CT or MRI) conducted for HCC surveillance29.

Statistical analysis

The p values for between group comparisons of continuous variables that did not follow the normal distribution were computed using the non-parametric Kruskal-Wallis method. The p values for comparing continuous variables such as age that followed the normal distribution were computing using a one way analysis of variance model. The p values for comparing binary data across groups were computed using Fisher’s exact test.

A Cox proportional hazard model was used to compare recurrence free survival and patient survival curves adjusted for covariates. The Hazard (event rate) ratio (HR) and its 95% confidence bounds under this model is reported. Linearity between the log hazard rate and age, the only continuous covariate, was assessed using restricted cubic splines (RCS). To assess the effect of time on OLT, separate Cox proportional hazard models were used before and after 1/1/2000.


Demographic and clinical characteristics of NAFLD, HBV, and HCV cases

The mean age of the NAFLD-associated HCC cases was 64.8 years with a mean BMI of 30.5 kg/m2 (±8.1 kg/m2). The majority had hypertension (n = 85, 68%) and dyslipidemia (n = 43, 34%). Sixty nine percent (n = 86) had T2D (n = 82) or glucose intolerance (n = 4). The majority had T2D or glucose intolerance for ≥10 years (n = 33), with 16 patients having had the disease for 2–10 years and only 2 for 0–2 years. Of the patients with T2D, 33% (n = 28) were on insulin therapy. The median A1c was 6.1 (IQR 5.4–6.95); however, the majority were on therapy by the time of A1c analysis. The majority of patients self-identified as Hispanic (n = 52, 42%).

Demographics of all three groups are presented in Table 1. Unlike HBV and HCV cases who had mostly men (n = 135, 79%, and n = 97, 61%, respectively), NAFLD cases were equally distributed between men (n = 59, 47%) and women (n = 66, 53%). NAFLD cirrhosis patients were more likely to have decompensated liver disease with 44% of the cohort with a Child- Pugh score of B and C (n = 45), when compared to HBV who only comprised 29% (n = 50) and HCV 23% (n = 36) of the cohorts. This is consistent with more patients in the NAFLD group having hepatic encephalopathy compared to HBV and HCV (25% versus 11% and 6%, respectively; p < 0.0001) and ascites/volume overload (36% versus 2% and 15%, respectively; p < 0.0001). In the hepatitis cohort, 33 patients were on therapy for chronic HBV and 26 patients had previously been treated for chronic HCV.

Table 1 Demographics and clinical characteristics of NAFLD, HBV and HCV cases.

NAFLD cases also were more likely to have T2D or glucose intolerance (69%, p < 0.0001). The HCC screening rate between all three groups was not significantly different (p = 0.1053). Patients with HBV were more likely to have a family history of HCC (25%) when compared to NAFLD (9%) or HCV (5%). Patients with NAFLD were most likely to have lower AST and ALT levels (p < 0.0001) but higher total bilirubin levels (p = 0.0246).

Tumor characteristics of NAFLD, HBV and HCV cases

NAFLD and HCV HCC cases were more likely to be within Milan and UCSF criteria for liver transplantation than the HBV group (Table 2). This was further confirmed when assessing the median size of the first tumor which was similar in the NAFLD and HCV groups (2.9 and 3 cm, respectively) but markedly larger in the HBV group at 4 cm (p = 0.0003) (Table 2). We found that NAFLD HCC patients were less likely to have a positive AFP (AFP ≥ 10) when compared to the other two groups (p < 0.0001) (Table 2).

Table 2 Presenting tumor characteristics between NAFLD, HBV and HCV.

Clinical and tumor characteristics of cirrhosis versus non-cirrhosis HCC cases

To characterize which clinical features were more likely to predict cirrhosis and advanced fibrosis in the NAFLD HCC cohort, we classified the group into “cirrhosis/advanced fibrosis” or “non-cirrhosis”. Cirrhosis/advanced fibrosis included anyone with clinical evidence of cirrhosis (platelets < 150 K)30, evidence of portal hypertension or as diagnosed by a hepatologist) or pathology review (all F3, F-4 and F4 on trichrome stain by METAVIR scoring system)31. The non-cirrhosis group was defined as anyone who had F0, F1-2, F2-3 disease on the pathology review or as determined by a hepatology clinic visit. A total of 86.5% of our cohort had pathology available for review. Ten patients (8%) had no evidence of clinical cirrhosis; 8 (6%) had F0; 2 (2%) had F0-1; 3 (2%) had F1-2; one patient had F2-3 (1%); 6 (5%) had F3; 6 (5%) had F3-4 and 90 (71%) had clinical evidence of cirrhosis or F4 disease on liver biopsy.

Based on these definitions, 102 (82%) had cirrhosis/advanced fibrosis and 23 (18%) had non-cirrhosis liver disease. The demographics comparing the two groups are presented in Table 3. In an unadjusted bivariate analysis comparing clinical factors associated with cirrhosis, we identified that being of non-Hispanic ethnicity (OR = 0.07, p = 0.0001), having dyslipidemia (OR = 0.321, p = 0.0268) and a lower BMI (p = 0.00065) were associated with non-cirrhosis in the NAFLD HCC group. Sixteen percent of patients (n = 16) in the cirrhosis/advanced fibrosis group were on statin therapy compared to 25% in the non-cirrhosis group (n = 5). HCC screening was higher in cirrhosis/advanced fibrosis group (p < 0.0001). Only one patient in the non-cirrhosis group was screened for HCC as 5 of his siblings had developed NAFLD-associated HCC.

Table 3 Clinical and tumor characteristics between the cirrhosis/advanced fibrosis versus non-cirrhosis group within the NAFLD cohort.

In an adjusted multivariable analysis, patients who identified themselves as Hispanic (adj. OR = 12.34, 95% CI 2.59–58.82, p = 0.002) and who had a higher BMI (adj. OR = 1.19, 95% CI 1.07–1.33, p = 0.002) were more likely to have cirrhosis. T2D and glucose intolerance diagnoses showed an increased trend towards the cirrhosis group; however, the differences were not statistically significant (adj. OR = 1.46, 95% CI 0.46–4.61, p = 0.52) (Table 4) Similarly, age (adj. OR = 0.97, 95% CI 0.86–1.1, p = 0.47) and gender (adj. OR = 3.94, 95% CI 0.001–13261, p = 0.74) were not predictive of cirrhosis/advanced fibrosis, while dyslipidemia demonstrated a trend towards decreased cirrhosis (adj. OR = 0.54, 95% CI 0.164–1.76, p = 0.31).

Table 4 Odds ratios of clinical predictors of cirrhosis outcome in the NAFLD-associated HCC cohort.

Survival outcomes are not different between the NAFLD-, HBV- and HCV-HCC case groups

At a median follow up of 17 months, we found that NAFLD-HCC patients had improved overall survivals compared to the HCV patients (adj. HR = 0.37, 95% CI 0.17–0.77, p = 0.003) and HBV patients (adj. HR = 0.35, 95% CI 0.15–0.80, p = 0.013) after adjusting for age, gender, ethnicity, most definitive treatment and Child-Pugh score (Fig. 1, Table 5). As expected, the type of definitive therapy influenced the survival rates of the groups, with orthotopic liver transplantation (OLT) giving the most decrease in death or HCC recurrence rates (adj. HR = 0.08 and adj. HR = 0.09, respectively). In the adjusted recurrence-free models, NAFLD-HCC patients had a trend towards improved outcomes compared to HCV and HBV (adj. HR = 0.64 and adj. HR = 0.69, respectively). No differences were seen in the recurrence-free survival rates between the HCV and HBV groups (adj. HR = 1.08, 95% CI 0.78–1.49, p = 0.650).

Figure 1

Overal and recurrence free survival of NAFLD, HBV and HCV cases. A. Overall survival of the three groups; B. Recurrence free survival for all three groups. The figure is adapted from Benhammou et al. from Bedside to Bench-side: the Clinical, Epidemiological and Molecular Basis for Nonalcoholic Steatohepatitis and Hepatocellular Carcinoma. UCLA24.

Table 5 Cox multivariable analysis of patients and treatment variables associated with overall survival and recurrence free survival (n = 454).

Given that many patients had OLT as a most definitive treatment and the significant improved survival rates with OLT, we further adjusted the model for the time of surgery to control for improvements in surgical and medical techniques. We stratified our data by assessing the survival rates before and after the year 2000 and found that OLT remained the most significant definitive treatment independently of the time of surgery for overall and recurrence-free survivals (Table 5). To further assess these outcomes independently of OLT treatment, we omitted OLT-treated patients (n = 99) in all 3 groups. At a median follow up of 13 months, we found that NAFLD-HCC patients had a higher overall survival compared to HCV (adj. HR = 0.40, 95% CI 0.17–0.98, p = 0.0440) and a trend for improved overall survival compared to the HBV group (adj. HR = 0.40, 95% CI 0.16–1.06, p = 0.0664), consistent with the previous models. Although, there was also a trend towards higher recurrence-free survivals in the NAFLD-HCC patients compared to HBV and HCV, these were no longer significant (Supplemental Table 1, Supplemental Fig. 1).


We present the largest detailed NAFLD-associated HCC cohort with long follow-up to date. Important clinical differences between NAFLD and viral etiologies of HCC were identified, including that HBV-associated HCC patients present at a younger age and have larger tumors at the time of presentation, which lends them to be outside of OLT criteria. Although NAFLD patients tend to have more decompensated liver disease at the time of HCC presentation, the overall survival rates are higher when compared to HBV and HCV, independently of OLT as the most definitive treatment. NAFLD-HCC patients had a higher trend towards recurrence-free survival rates compared to HBV and HCV HCC patients.

Our report is the first one conducted in a Region 5 of the transplant allocation geography where patients tend to have higher Model For End-Stage Liver Diseases (MELD) at the time of transplantation32. These geographical variabilities create important population differences and therefore outcomes when comparing studies. Hester et al. recently analyzed the outcomes of a group of 97 NASH HCC patients. In their study, when compared to HBV, HCV and alcoholic-associated liver (ALD) disease, NASH HCC patients had worse overall survivals compared to ALD patients but similar survival rates as HCV or HBV cases (median follow up time of 16 months)14. Wakai et al. evaluated post-surgical outcomes in 17 NAFLD-associated HCC cases and demonstrated that although the overall survival was not different between NAFLD, HBV and HCV patients, the recurrence-free survival was improved in the NAFLD cohort at a median follow-up time of 87 months15,33. We found similar trends in our cohort, although our data may have been limited by a smaller sample size with a shorter follow up period after adjusting for OLT patients. Other than geographical differences, sample sizes, and length of follow-up times can explain the differences in our findings. Our results and others’ also further validate the heterogeneity of NAFLD-HCC cases in biology and ascertainment of cases in studies given the lack of biomarkers for NAFLD and NASH diagnoses.

HCC in the non-cirrhosis liver has been reported to occur in NAFLD10,12. Since distinguishing NAFLD, NASH and different stages of fibrosis remains a diagnosis based on pathology, assessing liver histology in NAFLD-associated cases of HCC is critical but is often lacking in larger studies. Our detailed pathological analysis enabled us to distinguish between cirrhosis/advanced fibrosis cases when compared to non-cirrhosis. We report that ~18% of our cohort did not have any cirrhosis, although our definition was conservative due to including all bridging fibrosis cases (F3 and F3-F4 by METAVIR) in the advanced fibrosis/cirrhosis group. We found that patients who self-identified as Hispanic and had a larger BMI are more likely to develop HCC in a cirrhosis background. We also noted that the cirrhosis HCC group was less likely to have dyslipidemia or be on statin therapy (16% in the cirrhosis group versus 25% in the non-cirrhosis group) although this was no longer significant after adding BMI in our model. We interpret these data several ways. One possibility is that patients with advanced fibrosis/cirrhosis have a different lipoprotein metabolism and therefore lipid profile compared to patients without advanced liver disease34,35. Another potential reason is that the observed effects are related to statins since their use has been shown to decrease fibrosis progression and HCC12,36, although the small sample size of statin users precluded further sub-group analyses to confirm this. Few studies have attempted to differentiate statin effects between those with and without cirrhosis. In a recent case-control study comparing cirrhosis and non-cirrhosis cases based on histology, dyslipidemia (as defined by a high LDL cholesterol or triglycerides) was independently associated with HCC development in the non-cirrhosis group (adjusted OR = 1.74, p < 0.05)37. Although the cirrhosis group had a larger BMI (29.2 kg/m2) when compared to the non-cirrhosis group (26.1 kg/m2), those differences were not significant (p = 0.05), which is possibly explained by only having 28 NAFLD patients in the cohort of 545 individuals (5%). Statin use has also been shown to be associated with a decreased HCC mortality, although again in most studies NAFLD cases only comprise a small group of the patient population38,39. Teasing out the effects of dyslipidemia and statin use in different ethnic backgrounds will be important for future studies with larger samples sizes given our findings.


While our study highlights important differences between outcomes of NAFLD HCC (cirrhosis and non-cirrhosis) compared to HCV- and HBV-associated HCC, there are limitations. UCLA is one of the largest tertiary-care liver transplantation center in the U.S.; therefore, the majority of our patients were referred from outside institutions, thus creating a bias towards OLT evaluation and treatment. This may explain the large proportion of decompensated NAFLD patients who received OLT (versus regional differences in transplantation allocation where Region 5, which includes California, tends to have a sicker patient population40). However, this also allowed for a more diverse patient population due to the large referral pattern seen in Los Angeles. Being in a transplant center also provided for a detailed review of the pathology, which is often lacking in large cohorts. To the best of our knowledge, there are no previous free language processing approaches that would have identified cases within the EMR. This approach also allowed us to minimize selection bias of only studying patients seen by hepatologists and therefore have OLT or other curative treatments offered. Inter-observer differences between radiographic assessments of HCC also introduced differences in tumor measurements given that most initial imaging studies were done outside of UCLA. We attempted to normalize these by only including CT or MRI studies that were re-interpreted at UCLA using the validated Li-RADS score. Another limitation is the small sample size of the non-cirrhosis cases of HCC (23), restricting further analyses, such as tumor differences, and teasing out the effects of dyslipidemia and statin treatment. This is especially relevant because recent obese mouse models have demonstrated that NASH HCC can occur through independent mechanisms of NASH41.


In conclusion, we present a large, diverse NAFLD HCC patient population with detailed clinical and pathological data, not only allowing for important differences to be identified between various stages of fibrosis but also comparing these to viral etiologies of HCC. Identifying population-specific biomarkers, which will likely require a combination of clinical risk factors, laboratory data and tumor growth data, will be important in this group of patients. These studies also support the use of longitudinal biomarker studies to identify potentially useful diagnostic targets. The association between BMI and dyslipidemia remains of crucial clinical significance due to the non-cholesterol and pleiotropic effects of statins on HCC and liver fibrosis. This provides an avenue for statin use as a chemoprotective agent not only in NAFLD cirrhosis patients but specifically in the sub-group of non-cirrhosis patients who are not currently being targeted for screening. New prospective studies are needed to assess the benefits of statins in the non-cirrhosis group, which comprises a large portion of the NAFLD.


  1. 1.

    Loomba, R. & Sanyal, A. J. The global NAFLD epidemic. Nat Rev Gastroenterol Hepatol 10, 686–690, (2013).

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Adams, L. A. & Lindor, K. D. Nonalcoholic fatty liver disease. Ann Epidemiol 17, 863–869, (2007).

    Article  PubMed  Google Scholar 

  3. 3.

    Brunt, E. M. & Tiniakos, D. G. Histopathology of nonalcoholic fatty liver disease. World J Gastroenterol 16, 5286–5296 (2010).

    Article  Google Scholar 

  4. 4.

    Estes, C., Razavi, H., Loomba, R., Younossi, Z. & Sanyal, A. J. Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease. Hepatology 67, 123–133, (2018).

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Kaplan, D. E. et al. Healthcare Costs Related to Treatment of Hepatocellular Carcinoma Among Veterans With Cirrhosis in the United States. Clin Gastroenterol Hepatol 16, 106–114 e105, (2018).

    Article  PubMed  Google Scholar 

  6. 6.

    Younossi, Z. M. et al. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology 64, 73–84, (2016).

    Article  PubMed  Google Scholar 

  7. 7.

    Hester, D. et al. Among Medicare Patients With Hepatocellular Carcinoma, Non-alcoholic Fatty Liver Disease is the Most Common Etiology and Cause of Mortality. J Clin Gastroenterol, (2019).

  8. 8.

    Makarova-Rusher, O. V. et al. Population attributable fractions of risk factors for hepatocellular carcinoma in the United States. Cancer 122, 1757–1765, (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Piscaglia, F. et al. Clinical patterns of hepatocellular carcinoma in nonalcoholic fatty liver disease: A multicenter prospective study. Hepatology 63, 827–838, (2016).

    Article  PubMed  Google Scholar 

  10. 10.

    Stine, J. G. et al. Systematic review with meta-analysis: risk of hepatocellular carcinoma in non-alcoholic steatohepatitis without cirrhosis compared to other liver diseases. Aliment Pharmacol Ther 48, 696–703, (2018).

    Article  PubMed  Google Scholar 

  11. 11.

    El-Serag, H. B., Tran, T. & Everhart, J. E. Diabetes increases the risk of chronic liver disease and hepatocellular carcinoma. Gastroenterology 126, 460–468 (2004).

    Article  Google Scholar 

  12. 12.

    Simon, T. G. et al. Diabetes, metabolic comorbidities, and risk of hepatocellular carcinoma: Results from two prospective cohort studies. Hepatology 67, 1797–1806, (2018).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Younossi, Z. M. et al. Association of nonalcoholic fatty liver disease (NAFLD) with hepatocellular carcinoma (HCC) in the United States from 2004 to 2009. Hepatology 62, 1723–1730, (2015).

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Hester, C. A., Rich, N. E., Singal, A. G. & Yopp, A. C. Comparative Analysis of Nonalcoholic Steatohepatitis- Versus Viral Hepatitis- and Alcohol-Related Liver Disease-Related Hepatocellular Carcinoma. J Natl Compr Canc Netw 17, 322–329, (2019).

    Article  PubMed  Google Scholar 

  15. 15.

    Wakai, T. et al. Surgical outcomes for hepatocellular carcinoma in nonalcoholic fatty liver disease. J Gastrointest Surg 15, 1450–1458, (2011).

    Article  PubMed  Google Scholar 

  16. 16.

    Mazzaferro, V. et al. Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis. N Engl J Med 334, 693–699, (1996).

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Axelrod, D. A., Vagefi, P. A. & Roberts, J. P. The Evolution of Organ Allocation for Liver Transplantation: Tackling Geographic Disparity Through Broader Sharing. Ann Surg 262, 224–227, (2015).

    Article  PubMed  Google Scholar 

  18. 18.

    Ladin, K., Zhang, G. & Hanto, D. W. Geographic Disparities in Liver Availability: Accidents of Geography, or Consequences of Poor Social Policy? Am J Transplant 17, 2277–2284, (2017).

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Tong, M. J., Rosinski, A. A., Huynh, C. T., Raman, S. S. & Lu, D. S. K. Long-term survival after surveillance and treatment in patients with chronic viral hepatitis and hepatocellular carcinoma. Hepatol Commun 1, 595–608, (2017).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Singal, A. G. et al. Hepatocellular Carcinoma Screening Associated with Early Tumor Detection and Improved Survival Among Patients with Cirrhosis in the US. Am J Med 130, 1099–1106 e1091, (2017).

    Article  PubMed  Google Scholar 

  21. 21.

    Serper, M. et al. Quality measures, all-cause mortality, and healthcare utilization in a national cohort of Veterans with cirrhosis. Hepatology, (2019).

  22. 22.

    Terrault, N. A. et al. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology 67, 1560–1599, (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Kanwal, F. & Singal, A. G. Surveillance for HCC: Current Best Practice and Future Direction. Gastroenterology, (2019).

  24. 24.

    Benhammou, J. From Bedside to Bench-side: the Clinical, Epidemiological and Molecular Basis for Nonalcoholic Steatohepatitis and Hepatocellular Carcinoma. UCLA. ProQuest ID: Benhammou_ucla_0031D_18106. Merritt ID: ark:/13030/m599369x. Retrieved from, (2019).

  25. 25.

    Maheshwari, A. & Thuluvath, P. J. Cryptogenic cirrhosis and NAFLD: are they related? Am J Gastroenterol 101, 664–668, (2006).

    Article  PubMed  Google Scholar 

  26. 26.

    Kim, T. K. et al. Analysis of gadobenate dimeglumine-enhanced MR findings for characterizing small (1-2-cm) hepatic nodules in patients at high risk for hepatocellular carcinoma. Radiology 259, 730–738, (2011).

    Article  PubMed  Google Scholar 

  27. 27.

    Lencioni, R. & Llovet, J. M. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 30, 52–60, (2010).

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Therasse, P. et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 92, 205–216, (2000).

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Marrero, J. A. et al. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology 68, 723–750, (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Rios, R., Sangro, B., Herrero, I., Quiroga, J. & Prieto, J. The role of thrombopoietin in the thrombocytopenia of patients with liver cirrhosis. Am J Gastroenterol 100, 1311–1316, (2005).

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Bedossa, P. & Poynard, T. An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology 24, 289–293, (1996).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Washburn, K., Edwards, E., Harper, A. & Freeman, R. Hepatocellular carcinoma patients are advantaged in the current liver transplant allocation system. Am J Transplant 10, 1643–1648, (2010).

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Hernandez-Alejandro, R. et al. A comparison of survival and pathologic features of non-alcoholic steatohepatitis and hepatitis C virus patients with hepatocellular carcinoma. World J Gastroenterol 18, 4145–4149, (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Ooi, K., Shiraki, K., Sakurai, Y., Morishita, Y. & Nobori, T. Clinical significance of abnormal lipoprotein patterns in liver diseases. Int J Mol Med 15, 655–660 (2005).

    CAS  PubMed  Google Scholar 

  35. 35.

    Chrostek, L. et al. The effect of the severity of liver cirrhosis on the level of lipids and lipoproteins. Clin Exp Med 14, 417–421, (2014).

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Welzel, T. M. et al. Metabolic syndrome increases the risk of primary liver cancer in the United States: a study in the SEER-Medicare database. Hepatology 54, 463–471, (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Phan, J. et al. Hyperlipidemia and Nonalcoholic Steatohepatitis Predispose to Hepatocellular Carcinoma Development Without Cirrhosis. J Clin Gastroenterol 53, 309–313, (2019).

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Thrift, A. P., Natarajan, Y., Liu, Y. & El-Serag, H. B. Statin Use After Diagnosis of Hepatocellular Carcinoma Is Associated With Decreased Mortality. Clin Gastroenterol Hepatol, (2019).

  39. 39.

    Butt, A. A. et al. Effect of addition of statins to antiviral therapy in hepatitis C virus-infected persons: Results from ERCHIVES. Hepatology 62, 365–374, (2015).

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    Northup, P. G. et al. Excess mortality on the liver transplant waiting list: unintended policy consequences and Model for End-Stage Liver Disease (MELD) inflation. Hepatology 61, 285–291, (2015).

    Article  PubMed  Google Scholar 

  41. 41.

    Grohmann, M. et al. Obesity Drives STAT-1-Dependent NASH and STAT-3-Dependent HCC. Cell 175, 1289–1306 e1220, (2018).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

Download references


We would like to acknowledge that the work presented in this manuscript was part of the PhD dissertation work by Dr. Jihane Benhammou, while a graduate student at UCLA. Jeffrey Gornbein, Ph.D. assisted in part in the statistical analysis of this study. We thank Dr. Vatche Agopian for his valuable feedback during data gathering. We thank Dr. Alireza Sedarat for his feedback during manuscript preparation. UCLA: DDRC Pilot and Feasibility of the National Institutes of Health under award number DKP3041301 and the National Center for Advancing Translational Sciences at UCLA, CTSI Grant ULTR001881 and the UCLA Specialty Training and Advanced Research (STAR) Program.

Author information




J.N.B. and M.J.T. designed the study. J.N.B., E.E.A., S.K.H. and M.J.T. wrote the manuscript. S.G. and K.M. assisted with data gathering and data cleaning.

Corresponding author

Correspondence to Jihane N. Benhammou.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Benhammou, J.N., Aby, E.S., Shirvanian, G. et al. Improved survival after treatments of patients with nonalcoholic fatty liver disease associated hepatocellular carcinoma. Sci Rep 10, 9902 (2020).

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing