Abstract
Purpose of review:
The objective of this review was to summarize recent epidemiologic research examining the associations between environmental exposures and liver cancer and nonalcoholic fatty liver disease (NAFLD).
Recent findings:
There were 28 liver cancer studies showing positive associations for exposures to aflatoxin, air pollution, polycyclic aromatic hydrocarbons, asbestos, chimney sweeping occupation, and paints; an inverse association for ultraviolet radiation; and null/inconsistent results for organic solvents, pesticides, perfluorooctanoic acid, nuclear radiation, iron foundry occupation, and brick kiln pollution. There were n=5 NAFLD studies showing positive associations for heavy metals, methyl tertiary-butyl ether, and selenium; and no association with trihalomethanes.
Summary:
Evidence suggests that particular environmental exposures may be associated with liver cancer and NAFLD. Future liver cancer studies should examine specific histological subtypes and assess historical environmental exposures. Future NAFLD research should examine incident, biopsy-confirmed cases and the potential role of obesity and/or diabetes in studies of environmental factors and NAFLD.
Keywords: liver cancer, nonalcoholic fatty liver disease, environmental exposures, epidemiology, risk factors
Introduction
Liver cancer incidence and mortality has increased in many regions around the world [1–4]. Liver cancer was the seventh leading cause of cancer and the third leading cause of cancer-related death in 2018 [5]. Liver cancer incidence in 2018 was 13.9 per 100,000 among males and 4.9 per 100,000 among females [5]. Rising incidence is accompanied by low five-year relative survival rates (ranging from 5–30% from 2000–2014) as many cases are diagnosed at a late stage [6]. The most commonly occurring histological subtype of primary liver cancer is hepatocellular carcinoma (HCC), accounting for over 85% of cases [7]. Risk factors vary by geography and include chronic hepatitis B virus (HBV) infection and aflatoxin in parts of Asia, sub-Saharan Africa, and Guatemala; chronic HCV, heavy alcohol consumption, obesity, diabetes, and smoking are risk factors in parts of North America and Europe [8–10]. In the US, upwards of 40.5% of HCC cases are unexplained by known risk factors including chronic HBV, chronic HCV, alcohol consumption, obesity, and diabetes [11].
In addition to the rise in liver cancer incidence is the increasing prevalence of nonalcoholic fatty liver disease (NAFLD) among adults, adolescents, and children [12–14]. NAFLD, a risk factor for HCC [15], is the most common cause of chronic liver disease in the world affecting approximately 24% of the global population [16]. NAFLD is defined as the presence of ≥5% of hepatic steatosis without competing liver disease etiologies (e.g., HCV), use of medications that induce steatosis (e.g., tamoxifen), other chronic liver diseases (e.g., hemochromatosis), and heavy alcohol consumption [17]. NAFLD is projected to be the next global epidemic as the leading cause of liver-related morbidity and mortality in 20 years [18]. NAFLD can progress to nonalcoholic steatohepatitis (NASH), cirrhosis, and HCC. The major risk factors for NAFLD include obesity, type II diabetes, and dyslipidemia [16]. However, upwards of 30% of NAFLD cases occur among the non-obese (i.e., lean NAFLD; who may have altered metabolic profiles that can lead to diabetes [19]), and up to 52% of cases occur among non-diabetics [20–22].
The liver is susceptible to xenobiotic-induced injury due to its central role in xenobiotic metabolism and its portal location within circulation [23, 24]. Toxic metabolites generated during metabolism are the predominant cause of liver damage, potentially leading to chronic intrahepatic exposures to chemicals that may affect gene expression related to their metabolism [24, 25]. Previous studies have demonstrated that particular environmental exposures, including aflatoxin, vinyl chloride, arsenic, and polycyclic aromatic hydrocarbons (PAHs), are hepatocarcinogenic in humans and animals [24]. Most cases of HCC develop within a background of oxidative stress and inflammation [26, 27]; many of these environmental factors (e.g., PAHs, asbestos) are hypothesized to contribute to liver cancer development through these mechanisms. However, as epidemiologic studies for several of these exposures (apart from aflatoxin) have largely been occupational, the results have been difficult to interpret due to issues such as small sample sizes [24].
To date, research into environmental risk factors for NAFLD has largely been conducted in animal compared to epidemiologic studies [28–30]. As the liver is the central organ controlling lipid homeostasis, exposures to endocrine-disrupting compounds (particularly during early life), such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), polychlorinated biphenyls (PCBs), benzo[a]pyrene, bisphenol A (BPA), and phthalates, have been implicated in the development of fatty liver disease through mechanisms including binding to nuclear hormone receptors and epigenetic alterations [28–30]. Many of these compounds, including BPA and phthalates, have also been shown to promote obesity, which is a risk factor for NAFLD [30]. Further, toxicant-associated fatty liver disease (TAFLD) is a recognized liver pathology attributed to industrial chemical exposures such as pesticides, PCBs, and dioxin-like compounds (e.g., TCDD) [31, 32]. In addition, individuals with TAFLD may have a low body mass index (BMI) and no insulin resistance, suggesting a pathway unrelated to obesity and diabetes underlying fatty liver disease development in some cases [33].
The environmental epidemiology of liver cancer and NAFLD remain important research areas given existing geographic variation in liver cancer incidence [5, 24] and NAFLD prevalence [34–36], increasing incidence/prevalence [2, 13], HCC and NAFLD cases occurring among individuals without major risk factors [11, 20–22], and demonstrated biological plausibility in the hepatotoxic effects of particular environmental exposures [24, 28–32]. The objective of this narrative review was to summarize recent epidemiologic research examining the associations between environmental exposures and liver cancer and NAFLD.
Methods
Two separate searches of the MEDLINE database (accessed via PubMed) for liver cancer and NAFLD were performed for studies from January 2013 to April 2018. Limits for humans, English language, and original research were applied to the searches. The following terms were searched as exploded MeSH terms and in all fields (e.g., title and abstract): ‘environmental exposures AND liver neoplasms’ and ‘environmental exposures AND non-alcoholic fatty liver disease’. A total of n=359 liver cancer studies and n=31 NAFLD studies were screened by title and abstract for relevance, resulting in n=35 liver cancer studies and n=6 NAFLD studies reviewed for inclusion criteria. Full-text papers were evaluated according to the following a priori-determined eligibility criteria for inclusion into the review: an outcome of interest was primary liver cancer or NAFLD (excluding mortality studies due to potential lack of histological confirmation and study results addressing prognosis, e.g., differential survival influenced by socioeconomic factors, rather than cancer development); an exposure of interest was environmental (defined as physical, chemical, biological, social, or economic factors excluding dietary assessments [37]); and appropriate methodological design (.e., studies were excluded if they lacked methodological details to determine the study design, exposure assessment, or statistical analysis) and sufficient reporting of results (i.e., studies were excluded if there were no reported effect estimates). All cited references in each evaluated paper were also examined for inclusion into the review. There were n=28 (n=3 from citation chaining) liver cancer studies and n=5 (n=1 from citation chaining) NAFLD studies included in the review.
Results
Environmental exposures and liver cancer
Summary
There were n=28 liver cancer studies examining the following environmental exposures in Table 1: aflatoxin (4 studies), air pollution (3), polycyclic aromatic hydrocarbons (3), asbestos (3), organic solvents (3), pesticides (6), perfluorooctanoic acid (2), iron foundry occupation (1), radiation (2), brick kiln pollution (1), and parental occupational exposures to chemicals (1) (one study examined multiple exposures) [38–65]. Most studies were conducted in China and Taiwan (n=10) and the US (n=7). There were n=13 epidemiologic studies conducted among occupationally exposed individuals [38, 40, 42, 43, 45, 46, 53, 57, 60–62, 64, 65]. Environmental exposure assessments included biomonitoring, occupational titles, job-exposure matrices (JEMs), self-report, and geospatial-based methods linking residential locations with exposure models using geographic information systems (GIS). Most studies examined liver cancer combining multiple histologies (e.g., HCC and intrahepatic bile duct cancer).
Table 1.
Study | Location | Study design |
Time period |
Study population |
Exposure | Exposure assessment |
Outcome | Main findings |
---|---|---|---|---|---|---|---|---|
Aflatoxin | ||||||||
Higher AFB1-DNA adduct levels (≥2.01 μmol/mol DNA) compared to lower levels (<1.00 μmol/mol DNA) was associated with increased risk for HCC (OR 6.43, 95% CI 5.28–7.83) adjusting for age, sex, ethnicity, HBV, HCV, dietary aflatoxin | ||||||||
Main effect for XRCC4 gene is associated with HCC risk | ||||||||
Long et al. (2013) [47] | China | Retrospective case-control, GxE | 2004–2010 | Hospital-based; n=2,045 healthy controls matched on age, sex, ethnicity, HBV, HCV | Aflatoxin | Serum AFB1-DNA adducts | HCC (n=1,499) confirmed via histology | Evidence of GxE interaction was observed for XRCC4 gene (multiplicative scale) (p int. not reported) |
Higher AFB1-albumin levels (>2.98 ln fmol/mg) compared to lower levels (2.18 ln fmol/mg) were associated with increased risk for HCC (OR 6.52, 95% CI 5.46–7.79) adjusting for age, sex, ethnicity, HBV, HCV | ||||||||
Main effects for XRCC1, XRCC3, XRCC7, XRCC4, XPC, and XPD genes are associated with HCC risk | ||||||||
Yao et al. (2014) [63] | China | Retrospective case-control, GxE | 2004–2012 | Hospital-based; n=1,996 healthy controls matched on age, sex, ethnicity, HBV, HCV | Aflatoxin | Serum AFB1albumin adducts | HCC (n=1,486) confirmed via histology | GxE interactions were observed for each gene (multiplicative scale) (p int. <0.01) |
Chu et al. (2017) [41] | Taiwan | Prospective nested casecontrol | 1991–2004 | Chronic HBV carriers; n=577 controls matched on age, sex, residence, date of blood collection | Aflatoxin | Serum AFB1-albumin adducts | HCC (n=262) confirmed via cancer registry and medical records (histology, imaging, or serum AFP ≥400 ng/mL) | Higher AFB1-albumin levels (≥21.5 fmol/mg) compared to undetectable levels were associated with increased risk for cirrhotic HCC (OR 5.47, 95% CI 2.20–13.63) and non-cirrhotic HCC (OR 5.39, 95% CI 1.11–26.18) adjusting for age, sex, alcohol consumption, serum ALT |
Lai et al. (2014) [46] | China | Retrospective case-control | 1994–2013 | Sugar and papermaking factory workers; n=150 healthy controls who worked for same company | Aflatoxin | Self-reported airway exposure | HCC (n=68) confirmed via medical records | Occupational airborne aflatoxin dust exposure compared to no exposure was associated with increased risk for HCC (OR 5.24, 95% CI 2.77–9.88) adjusting for sex, alcohol consumption, smoking, HBV, family history of HCC |
Air pollution | ||||||||
Pan et al. (2016) [49] | Taiwan | Prospective cohort | 1991–2009 | Risk Evaluation of Viral Load Elevation and Associated Liver Disease/Cancer- Hepatitis B Virus (REVEAL-HBV) study (n=22,062) | PM2.5 | Geocoded address linked to GIS-based exposure model developed using kriging methods | HCC (n=464) confirmed via histology, imaging, AFP, and cancer registry | PM2.5 exposure was associated with increased risk for HCC on the Taiwan Penghu Islands (HR 1.22, 95% CI 1.02–1.47 per IQR 0.73 μg/m3 increase) adjusting for age, sex, alcohol consumption, smoking, ALT, HBV, HCV |
Pedersen et al. (2017) [51] | Austria, Denmark, Italy | Prospective cohort | 1985–2012 | Four cohorts in European Study of Cohorts for Air Pollution Effects (ESCAPE) study (n=174,770) | Available for all cohorts: NO2 and NOx; available for Denmark and Austria only: PM10, PM2.5, PM2.5–10, PM absorbance (soot), traffic density | Baseline geocoded residential address linked to GIS-based exposure models developed using land use regression | Liver cancer (n=279) confirmed via cancer registry | Higher exposures to NO2 (HR 1.10, 95% CI 0.93–1.30 per 10 μg/m3), NOx (HR 1.12, 95% CI 0.96–1.30 per 20 μg/m3), PM2.5 (HR 1.34, 95% CI 0.76–2.35 per 5 μg/m3), PM2.5 absorbance (HR 1.21, 95% CI 0.68–2.15 per 10−5 μg/m3), PM10 (HR 1.44, 95% CI 0.83–2.52 per 10 μg/m3), PM2.510 (HR 1.34, 95% CI 0.65–2.78 per 5 μg/m3), traffic density (HR 1.04, 95% CI 0.89–1.20 per 5,000 vehicles/day) were associated with non-statistically significant positive associations with liver cancer risk adjusting for age, sex, year, smoking, alcohol consumption, occupational exposures, employment status, education, area-specific SES |
Niu et al. (2016) [48] | China | Retrospective case-control | 2011–2014 | Residents of Xiamen; n=346 healthy controls frequency-matched on age, sex | Indoor air pollution, pesticides, environmental tobacco smoke (ETS) | Self-reported exposure | HCC (n=314) confirmed via histology | Pesticide exposure (OR 1.99, 95% CI 1.10–3.60), indoor air pollution (OR 2.46, 95% CI 1.47–4.14), ETS at home (OR 2.16, 95% CI 1.25–3.72), and ETS at work (OR 1.90, 95% CI 1.08–3.35) were associated with increased risk for HCC adjusting for education, HBV, liver disease history, alcohol consumption, fruit consumption, tea consumption |
Polycyclic aromatic hydrocarbons | ||||||||
Su et al. (2014) [54] | China | Retrospective case-control | 2007–2009 | Hospital-based; n=961 healthy controls matched on age, sex, ethnicity | B[a]P | BPDE-DNA adducts in blood | HCC (n=345) confirmed via histology | Higher BPDE-DNA adduct levels (>0.71 fmol/μg) compared to lower levels (<0.31 fmol/μg) were associated with increased risk for HCC (OR 7.44, 95% CI 5.29–10.45) adjusting for age, sex, education, HBV, alcohol consumption, smoking, contaminated water drinking |
Higher BPDE-albumin adduct levels were observed among cases (median 1.79 fmol/mg, no IQR reported) compared to controls (median 1.51 fmol/mg) (p<0.01) | ||||||||
Higher GSTP hypermethylation was observed among cases (53.3%) compared to controls (17.2%) (p<0.01) | ||||||||
Tian et al. (2016) [55] | China | Retrospective case-control | Not reported | Hospital-based; n=99 healthy volunteers | B[a]P | Serum BPDE-albumin adducts | HCC (n=90) confirmed via clinical diagnosis or imaging | Evidence of interaction was observed between BPDE-albumin adducts and GSTP gene methylation (multiplicative scale) adjusting for age, sex, BMI, alcohol consumption, smoking, liver cirrhosis, HBV, HCV |
Hogstedt et al. (2013) [43] | Sweden | Retrospective cohort | 1958–2006 | Male chimney sweep trade union members (n=6,320) | Chimney sweeping occupation | Occupational title from Swedish Municipal Workers’ Union | Liver cancer (n=18) confirmed via cancer registry | Chimney sweepers compared to the general Swedish male population had an increased risk for liver cancer (SIR 2.48, 95% CI 1.47–3.91) |
Asbestos | ||||||||
Boulanger et al. (2015) [38] | France | Retrospective cohort | 1978–2009 | Asbestos-exposed workers (n=2,024) | Asbestos | JEM | Liver cancer (n=18 males; n=1 female) confirmed via cancer registry | Asbestos-exposed workers compared to the general population in Calvados, France had an increased risk for liver cancer among males (SIR 1.85, 95% CI 1.09–2.92) but not females (SIR 2.55, 95% CI 0.03–14.2) |
Wu et al. (2015) [61] | Taiwan | Retrospective cohort | 1985–2008 | Shipbreaking Workers Union; n=4,427 shipbreaking workers and population-based cohort (n=22,135) matched on age, sex, place of residence | Asbestos | Occupational title and Total Exposure Potential (TEP) Score estimated by panel of occupational experts | Liver cancer (n=349) confirmed via cancer registry | Shipbreaking workers compared to the population-based matched cohort had an increased risk for liver cancer (HR 1.50, 95% CI 1.16–1.94) adjusting for premium ratable wage per month |
Wu et al. (2014) [62] | Taiwan | Retrospective cohort | 1985–2008 | Shipbreaking Workers Union (n= 4,155 males) | Asbestos | Occupational title and TEP Score estimated by panel of occupational experts | Liver cancer (n=72) confirmed via cancer registry | Liver cancer incidence was not elevated among shipbreaking workers compared to the general population in Taiwan (5-year latency period: SIR 1.05, 95% CI 0.82–1.33) |
Organic solvents | ||||||||
Workers exposed to TCE compared to the general population in Denmark, Finland, and Sweden had an increased risk for liver cancer (SIR 1.93, 95% CI 1.19–2.95) | ||||||||
Hansen et al. (2013) [42] | Denmark, Finland, Sweden | Prospective cohort | 1958–2008 | Workers exposed to TCE (n=5,553) | TCE | Occupational title and urinary TCE metabolite (UTCA) | Liver cancer (n=15 males; n=5 females) confirmed via cancer registry | Higher U-TCA levels (>50 mg/L) compared to lower levels (<5 mg/L) were not associated with liver cancer risk (HR 0.63, 95% CI 0.22–1.68) adjusting for age, sex, country, calendar time |
Higher TCE exposure (highest tertile median 0.77 unit-years) compared to the occupationally unexposed was not associated with liver cancer risk (HR 1.00, 95% CI 0.90–1.11) | ||||||||
Vlaanderen et al. (2013) [57] | Denmark, Finland, Iceland, Norway, Sweden | Prospective nested casecontrol | 1960–2005 | Nordic Occupational Cancer Cohort (n>45 million); n=119,480 controls matched on age, sex, country | TCE and PER | JEM | Liver cancer (n=23,896) confirmed via cancer registry | PER exposure (highest tertile median 0.77 unit-years) compared to the occupationally unexposed was suggestively associated with liver cancer risk (HR 1.13, 95% CI 0.92–1.38) |
Press et al. (2016) [52] | US | Cancer cluster | 1988–2011 | Greater Bay Area Cancer Registry catchment area in California | TCE | Residence in Middlefield-Ellis-Whisman (MEW) Superfund study area defined using Census tracts at diagnosis | Liver cancer (n≤17) confirmed via cancer registry | Liver cancer incidence was not elevated among residents in the MEW study area compared to the general population in Monterey, San Benito, Santa Clara, and Santa Cruz counties (1988–1995: SIR 0.8, 95% CI 0.1–2.8; 1996–2005: SIR 0.9, 95% CI 0.3–2.1; 2006–2011: SIR 0.6, 95% CI 0.1–1.6) |
Pesticides | ||||||||
Yi et al. (2014) [64] | Korea | Prospective cohort | 1992–2003 | Korean Veterans Health Study (n=180,251 males) | Agent Orange | Exposure Opportunity Index model (E4) using GIS-based proximity of military unit to area sprayed with Agent Orange | Liver cancer (n=1,956) confirmed via cancer registry | High Agent Orange exposure (log10 E4 ≥5) compared to no exposure (log10 E4 <0.1) was associated with increased risk for liver cancer (HR 1.16, 95% CI 1.01–1.34) adjusting for age at cohort entry, military rank |
Yi et al. (2013) [65] | Korea | Cross-sectional | 2004 | Korean Veterans Health Study (n=114,562) | Agent Orange | Self-report and E4 using GIS-based proximity of military unit to area sprayed with Agent Orange | Liver cancer (n=2,242) from self-report | Self-reported high Agent Orange exposure (levels not reported) compared to low exposure was associated with increased risk for liver cancer (OR 1.74, 95% CI 1.54–1.96) adjusting for age, BMI, military rank, smoking, alcohol consumption, physical activity, education, household income, herbicide use |
Silver et al. (2015) [53] | US | Prospective cohort | 1993–2011 | Agricultural Health Study (n=49,616) | Metolachlor | Lifetime days and intensity-weighted lifetime days (from self-report) | Liver cancer (n=40) confirmed via cancer registry | Higher lifetime days (>108.5 days; RR 3.99, 95% CI 1.43–11.1) and higher intensity-weighted lifetime days (>4,103 units; RR 3.18, 95% CI 1.10–9.22) of metolachlor use compared to unexposed individuals was associated with increased risk for liver cancer adjusting for age, smoking, alcohol consumption, applicator status, family history of cancer, state of residence, pesticides correlated with metolachlor (e.g., atrazine) |
VoPham et al. (2015) [59] | US | Retrospective case-control | 2000–2009 | SEER-Medicare; n=14,991 controls frequency-matched on age, sex, race, duration of California residence, year | Pesticides (organochlorines, organophosphates, carbamates) | Residential ZIP Code linked with GIS-based exposure model | HCC (n=3,034) confirmed via cancer registry | Higher pesticide exposure (≥1.85 kg/km2) compared to lower exposure (≤0.07 kg/km2) was not associated with HCC risk (OR 0.95, 95% CI 0.82–1.09) adjusting for age, sex, race, duration of California residence, year, liver disease, diabetes, rare genetic disorders, SES |
Kachuri et al. (2017) [40] | Canada | Retrospective cohort | 1991–2010 | Canadian Census Health and Environment Cohort (CanCHEC) (n=2,051,315) | Agricultural occupation | Self-reported occupation | Liver cancer (n=45 males; n=15 females) confirmed via cancer registry | There was an inverse association with liver cancer risk among male agricultural workers (HR 0.51, 95% CI 0.38–0.68) and no association among female agricultural workers (HR 0.90, 95% CI 0.51–1.57) compared to other employed individuals adjusting for age at cohort entry, province of residence, education |
Perfluorooctanoic acid | ||||||||
Vieira et al. (2013) [56] | US | Retrospective case-control | 1996–2005 | C8 Health Project (n=25,107 cancer cases) residents living near DuPont Teflonmanufacturing plant; other-cancer controls excluding kidney, pancreatic, testicular, and liver | PFOA | Residential water district and for Ohio residents only: predicted serum PFOA levels estimated using pharmacokinetic model and geocoded residential addresses at diagnosis linked with GIS-based exposure model | Liver cancer (n=179) confirmed via cancer registry | Residence in a contaminated water district (OR 1.1, 95% CI 0.7–1.6) and predicted serum PFOA levels (high 30.8–109.0 μg/L compared to unexposed: OR 1.0, 95% CI 0.3–3.1) was not associated with liver cancer risk adjusting for age, sex, race, diagnosis year, insurance provider, smoking |
Barry et al. (2013) [39] | US | Retrospective cohort | 1952–2011 | Residents of MidOhio Valley as part of C8 Health Project and DuPont Worker Cohort (n=32,254) | PFOA | Predicted serum PFOA levels described above [56]; JEM was used for DuPont workers | Liver cancer (n=9) confirmed via cancer registry and medical records | PFOA exposure was not associated with liver cancer risk (HR 0.73, 95% CI 0.43–1.23) adjusting for age, sex, smoking, alcohol consumption, education, birth year |
Iron foundry occupation | ||||||||
Westberg et al. (2013) [60] | Sweden | Prospective cohort | 1958–2004 | Iron foundry workers (n=3,045 males) | Iron foundry occupation | Occupational title | Liver cancer (n=12) confirmed via cancer registry | Liver cancer incidence was not elevated among iron foundry workers compared to the general population in Sweden (SIR 1.59, 95% CI 0.82–2.78) |
Radiation | ||||||||
External gamma radiation dose was not associated with liver cancer risk (results not shown) | ||||||||
Labutina et al. (2013) [45] | Russia | Prospective cohort | 1948–2004 | Mayak nuclear workers (n=22,373) | Radiation: nuclear | External gamma radiation from individual film badges and internal plutonium dose from urine samples and biokinetic models | Liver cancer (n=46) confirmed via cancer registry and medical records | Higher cumulative internal plutonium liver dose (≥4 Gy) compared to a lower lose (0 Gy) was associated with increased risk for liver cancer (RR 283.8, 95% CI 99.4–867.4) adjusting for age, sex, alcohol consumption |
VoPham et al. (2017) [58] | US | Ecological | 2000–2014 | SEER | Radiation: ultraviolet (UV) | Residential county at diagnosis linked with GIS-based exposure model | HCC (n=56,245) confirmed via cancer registry | Higher ambient UV exposure was associated with decreased HCC risk (IRR 0.83, 95% CI 0.77–0.90 per IQR 32.4 mW/m2) adjusting for age at diagnosis, sex, race, year of diagnosis, SEER registry, and area-level alcohol consumption, smoking, obesity, diabetes, median household income, unemployment, urbanicity, PM2.5 |
Brick kiln pollution | ||||||||
Pasetto et al. (2013) [50] | Italy | Retrospective cohort | 1994–2007 | Residents in East quadrant, Ferrara, Italy (n=2,578) | Brick kiln pollution (e.g., vinyl chloride, chlorinated ethenes, ethanes) | Residence in polluted area | Liver cancer (n=8) confirmed via cancer registry | Liver cancer incidence was not elevated among residents of the East quadrant compared to the general population in Ferrara, Italy (SIR 1.35, 90% CI 0.672.43) |
Parental occupational exposures to chemicals | ||||||||
Janitz et al. (2017) [44] | US | Retrospective case-control | 2000–2008 | HOPE study; n=387 birth certificate controls frequency-matched on sex, region of birth, birth weight | Parental occupational exposures (e.g., plastics, paints, diesel) | Self-reported parental occupational exposures and JEM | Hepatoblastoma (n=383) prior to 15 years of age confirmed via histology | Likely paternal exposure to paints compared to unlikely exposure was associated with increased risk for hepatoblastoma (OR 1.71, 95% CI 1.04–2.81) adjusting for year of birth, sex, region of birth, birth weight, household income |
Abbreviations: AFB1, aflatoxin B1; AFP, alpha-febottomrotein; ALT, alanine aminotransferase; B[a]P, benzo[a]pyrene; BMI, body mass index; BPDE, benzo[a]pyrene diolepoxide; CI, confidence interval; GIS, geographic information system; GxE, gene-environment interaction; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; HCV, hepatitis C virus; HR, hazard ratio; int, interaction; IRR, incidence rate ratio; JEM, job-exposure matrix; NO2, nitrogen dioxide; NOx, nitrogen oxides; OR, odds ratio; PER, perchloroethylene; PFOA, perfluorooctanoic acid; PM10, particulate matter <10 microns; PM2.5, particulate matter <2.5 microns; PM2.5–10, particulate matter 2.5–10 microns; RR, relative risk; SEER, Surveillance, Epidemiology, and End Results; SES, socioeconomic status; SIR, standardized incidence ratio; TCE, trichloroethylene; U-TCA, urinary trichloroacetate.
Aflatoxin
Aflatoxin, produced by fungi forming on food such as corn and rice in moist conditions, is a hepatocarcinogen acting through DNA damage mechanisms [7]. Although aflatoxin is an established risk factor for HCC [66], several studies in China and Taiwan conducted novel investigations into potential gene-environment interactions (GxE) [47, 63], the role of aflatoxin in the etiology of cirrhotic vs. non-cirrhotic HCC [41], and airborne aflatoxin exposure (compared to dietary exposure) [46]. Two retrospective case-control studies showed evidence of GxE interactions between AFB1-albumin and DNA adducts and variants for DNA repair genes (XRCC1, XRCC3, XRCC7, XRCC4, XPC, XPD) on HCC risk [47, 63]. A prospective nested case-control study among chronic HBV carriers showed that higher AFB1-albumin adducts were associated with an increased risk for cirrhotic HCC (adjusted OR 5.47, 95% CI 2.20–13.63) and non-cirrhotic HCC (adjusted OR 5.39, 95% CI 1.11–26.18) [41]. Aflatoxin was also associated with an increased risk for cirrhosis (adjusted OR 2.45, 95% CI 1.51–3.98) and cirrhotic HCC compared to cirrhotic controls (adjusted OR 3.04, 95% CI 1.11–8.30) [41]. Most HCC cases occur among cirrhotics [67]. These results demonstrate that aflatoxin may contribute to the development of cirrhosis, progression of cirrhosis to liver cancer, and the development of liver cancer without inducing cirrhosis. In a retrospective case-control study of sugar and papermaking factory workers, self-reported occupational exposure to airborne aflatoxin was associated with increased HCC risk (adjusted OR 5.24, 95% CI 2.77–9.88) [46].
Air pollution
Air pollution includes a mixture of substances (e.g., PAHs, particulate matter [PM]) from natural and anthropogenic sources and is classified as an International Agency for Research on Cancer (IARC) Group 1 human carcinogen (mainly based on lung cancer evidence) [68]. In particular, PM <2.5 microns in diameter (PM2.5) has been shown to induce oxidative damage, inflammation, and genotoxicity in the liver [69]. Two prospective cohort studies in Taiwan and Europe showed generally positive associations between geospatial-based residential PM and nitrogen oxides (NOx) exposures and liver cancer risk [49, 51]. PM2.5 exposure was associated with increased HCC risk on the Taiwan Penghu Islands (adjusted HR 1.22, 95% CI 1.02–1.47 per IQR 0.73 μg/m3 increase), although no association was observed on the Main Island [49]. In the European Study of Cohorts for Air Pollution Effects (ESCAPE) study, there were positive but non-statistically significant associations between exposures (such as to NOx and PM2.5) and liver cancer risk (adjusted HRs ranging from 1.04–1.44) [51]. In a retrospective case-control study in China, self-reported indoor air pollution (adjusted OR 2.46, 95% CI 1.47–4.14), environmental tobacco smoke (ETS) at home (adjusted OR 2.16, 95% CI 1.25–3.72), and ETS at work (adjusted OR 1.90, 95% CI 1.08–3.35) were associated with increased HCC risk [48].
Polycyclic aromatic hydrocarbons (PAHs)
PAHs are chemicals forming from incomplete combustion of materials such as coal, gasoline, tobacco, and grilled meats [70]. Benzo[a]pyrene (B[a]P) and occupational exposure of chimney sweepers (such as to soot, which contains toxic agents including PAHs) are IARC Group 1 human carcinogens [71, 72]. A retrospective case-control study in China showed higher levels of B[a]P in blood was associated with increased HCC risk (adjusted OR 7.44, 95% CI 5.29–10.45) [54]. Another retrospective study in China demonstrated higher levels of serum BPDE-albumin adducts and GSTP (detoxification gene) hypermethylation among HCC cases compared to controls and evidence of their interaction on HCC risk [55]. However, as blood was measured at enrollment, it is unclear if these epigenetic alterations are a driver or result of hepatocarcinogenesis [73, 74]. In a retrospective cohort study in Sweden, chimney sweeping occupation was associated with increased liver cancer risk (SIR 2.48, 95% CI 1.47–3.91) compared to the general Swedish male population [43].
Asbestos
Asbestos, an IARC Group 1 human carcinogen acting through mechanisms inducing genotoxicity, inflammation, and oxidative stress, includes naturally occurring mineral silicate fibers that were widely used in industrial and commercial applications including roofing and insulation [75]. Although asbestos has been banned in many countries, occupational exposure may still occur such as through shipbreaking [61]. Three retrospective studies examined occupational asbestos exposure in France and Taiwan [38, 61, 62]. Compared to the general population in France, there was an increased risk for liver cancer among asbestos-exposed workers for males (SIR 1.85, 95% CI 1.09–2.92), but not for females among whom there was n=1 case [38]. Liver cancer incidence was higher among shipbreaking workers in Taiwan compared to a population-based cohort matched on age, sex, and place of residence (adjusted HR 1.50, 95% CI 1.16–1.94) [61]. Similar positive associations were observed among highly exposed flame cutters and among those with high Total Exposure Potential scores [61]. In a study restricted to a smaller study population of male shipbreaking workers in Taiwan [62], liver cancer incidence was not elevated among shipbreaking workers, although this analysis had fewer cases compared to the more recent study [61] and the comparison group was the general population in Taiwan [62].
Organic solvents
Trichloroethylene (TCE), a volatile organic compound primarily used for cleaning and degreasing metal parts, is an IARC Group 1 human carcinogen primarily based on evidence for kidney cancer, with some positive associations observed for liver cancer [76]. Two prospective studies in Europe examined occupational exposure to TCE and/or perchloroethylene (PER) [42, 57]. There was higher incidence of liver cancer among workers exposed to TCE compared to the general population in Denmark, Finland, and Sweden (SIR 1.93, 95% CI 1.19–2.95) (similar results were observed among males but not females), although urinary trichloroacetic acid (TCE metabolite), measured in a subset of participants, were not associated with liver cancer risk [42]. Occupational TCE was not associated with liver cancer risk in the Nordic Occupational Cancer Cohort, although there was a suggestive positive association between occupational PER exposure and liver cancer risk (HR 1.13, 95% CI 0.92–1.38) [57]. A cancer cluster investigation in the US showed that residence near a US Environmental Protection Agency Superfund study area with suspected TCE contamination was not associated with increased liver cancer incidence, although there was a limited number of cases and exposure was based on residential addresses at diagnosis [52].
Pesticides
Pesticides are chemicals used to treat pests such as insects, hypothesized to impact hepatocarcinogenesis through mechanisms of oxidative stress, genotoxicity, and immunotoxicity [77]. Dichlorodiphenyltrichloroethane (DDT), an organochlorine insecticide, has been associated with increased HCC risk in several studies (IARC Group 2A) [77, 78]. In a prospective analysis of the Korean Veterans Health Study, occupational Agent Orange exposure (an herbicide contaminated with TCDD used for military tactical use during the Vietnam War) was associated with increased liver cancer risk (adjusted HR 1.16, 95% CI 1.01–1.34) [64]. Associations were stronger when examining those who served in the Vietnam War for >6 months and among those who served in a military unit with a defined tactical area of responsibility [64]. Similar results were observed in a cross-sectional study in the same study population, although liver cancer was based on self-report [65]. In the US-based Agricultural Health Study prospective cohort, higher intensity-weighted lifetime days of occupational metolachlor exposure (an herbicide) was associated with increased liver cancer risk (adjusted RR 3.18, 95% CI 1.10–9.22) [53]. In a retrospective case-control study in the US, geospatial-based residential exposure to pesticides (from organochlorines, organophosphates, and carbamates) was not associated with HCC risk [59], although a suggestive positive association was observed for organochlorine pesticides in analyses limited to study participants residing in agriculturally intensive areas. In a retrospective case-control study in China, self-reported pesticide exposure (adjusted OR 1.99, 95% CI 1.10–3.60) was associated with increased HCC risk [48]. In a retrospective analysis of the Canadian Census Health and Environment Cohort, there was an inverse association with liver cancer risk among male agricultural workers (adjusted HR 0.51, 95% CI 0.38–0.68) and no association among female agricultural workers compared to all other employed individuals; results may have been influenced by the healthy worker effect and/or residual confounding from smoking and alcohol consumption [40].
Perfluorooctanoic acid (PFOA)
PFOA is produced from industrial and consumer products such as Teflon [79]. Animal studies have shown that the liver is an established target for PFOA-induced toxicity; potential mechanisms for carcinogenesis include peroxisome proliferator-activated receptor-α activation and cytotoxicity [80]. In a retrospective study as part of the US-based C8 Health Project, residence in a water district contaminated by a DuPont Teflon-manufacturing plant and predicted serum PFOA levels were not associated with liver cancer risk [56]. In another retrospective study as part of the C8 Health Project and DuPont Worker Cohort, predicted serum PFOA levels were not associated with liver cancer risk [39]. Null associations may be due to low exposure prevalence, a small number of cases, inclusion of HCC and other histologies, usage of other cancer controls, and/or residual confounding [39, 56].
Iron foundry occupation
Although occupational exposures in iron foundries, including from quartz, PAHs, benzene, and asbestos, are considered carcinogenic to humans (IARC Group 1) [72], a prospective cohort study in Sweden based on a small number of cases showed no association with liver cancer risk compared to the general population [60].
Radiation
An excess in liver cancer incidence has been observed in atomic bomb survivors [81]. In a prospective analysis of nuclear workers in Russia, external gamma (ionizing) radiation measured using individual film badges was not associated with liver cancer risk, although there was a positive association between internal plutonium dose and liver cancer risk based on a small sample size [45]. In contrast, an ecological study in the US showed that ultraviolet (UV) radiation (UV-B wavelengths are involved in cutaneous vitamin D production) was associated with decreased HCC risk (adjusted IRR 0.83, 95% CI 0.77–0.90 per IQR 32.4 mW/m2 increase) [58].
Brick kiln pollution
Industrial waste from brick kiln-related activities led to groundwater contamination from compounds such as vinyl chloride (established risk factor for liver angiosarcoma and HCC [72]), chlorinated ethenes, and ethanes [50]. In a retrospective cohort study in Italy, there was no observed excess in liver cancer incidence associated with residence in the contaminated East quadrant, a crude proxy for exposure, compared to the general population [50].
Parental occupational exposures to chemicals
A retrospective case-control study of children <15 years old in the US examined self-reported and JEM-based parental occupational exposures from chemicals, such as plastics and paints, in relation to risk for hepatoblastoma, a rare pediatric liver tumor [44]. Likely paternal exposure to paints was associated with increased risk for hepatoblastoma (adjusted OR 1.71, 95% CI 1.04–2.81), although no association was observed for maternal exposures [44].
Environmental exposures and NAFLD
There were n=5 NAFLD studies examining the following environmental exposures in Table 2: heavy metals (2 studies), trihalomethanes (1), methyl tert-butyl ether (1), and selenium (1) [33, 82–85]. All studies were cross-sectional and conducted in China, Taiwan, and the US. One study was conducted among occupationally exposed individuals [84]. Environmental exposure assessments included biomonitoring, personal sampling, and a residential location-based measure. NAFLD was defined using biochemical measures (e.g., alanine aminotransferase or ALT) and/or imaging.
Table 2.
Study | Location | Study design | Time period | Study population | Exposure | Exposure assessment | Outcome | Main findings |
---|---|---|---|---|---|---|---|---|
Heavy metals | ||||||||
Lin et al. (2017) [33] | Taiwan | Crosssectional | 2014 | Hospital-based; n=1,137 individuals receiving transabdominal sonography | Heavy metals: arsenic, cadmium, chromium, copper, lead, mercury, nickel, zinc | Residential township linked with survey of soil heavy metal concentrations | NAFLD (n=301) using transabdominal sonography; exclusions for drug history of total parenteral nutrition, long-term use of estrogen, tamoxifen, amiodarone, sodium valproate, methotrexate or corticosteroids | Heavy metals exposures was associated with NAFLD among males (OR 1.83, 95% CI 1.16–2.90) but not females (OR 1.06, 95% CI 0.57–1.96) adjusting for age, BMI, metabolic syndrome, smoking, alcohol consumption, SES |
Hyder et al. (2013) [83] | US | Crosssectional | 1988–1994 | National Health and Nutrition Examination Survey (NHANES) | Heavy metals: cadmium | Creatinine-corrected urinary cadmium | NAFLD (n=1,175 males and n=1,147 females) using gallbladder ultrasound videotapes and ALT or AST levels; exclusions for heavy alcohol consumption or zydovudine or didanosine use | Higher urinary cadmium levels (≥0.65 μg/g for males and ≥0.83 μg/g for females) compared to lower levels were associated with NAFLD among males (OR 1.30, 95% CI 1.01–1.68) but not females (OR 1.11, 95% CI 0.88–1.41) adjusting for age, race/ethnicity, education, smoking, pack years, sedentary lifestyle, BMI, alcohol consumption, total cholesterol |
Trihalomethanes | ||||||||
Burch et al. (2015) [82] | US | Crosssectional | 1999–2006 | NHANES | THM | Blood THM | NAFLD (n=353) using elevated ALT levels (>40 IU/L for males; >30 IU/L for females); exclusions for heavy alcohol consumption, HBV, HCV, self-reported liver cancer, or high transferrin saturation levels | Higher total THM levels (highest tertile mean 62.0 ± 88.9 pg/mL) compared to lower levels (mean 7.4 ± 2.5 pg/mL) were not associated with NAFLD (OR 1.23, 95% CI 0.87–1.72) adjusting for age, race, smoking, BMI, alcohol consumption, selfreported high BP, diastolic BP, total cholesterol, albumin |
Methyl tert-butyl ether | ||||||||
Yang et al. (2016) [84] | China | Crosssectional | 2014 | Petrol station attendants (n=71) | MTBE | Personal exposure monitoring using charcoal-based organic vapor monitor | NAFLD (n=11) using abdominal ultrasonography; exclusions for heavy alcohol consumption, HBV, HCV, autoimmune hepatitis, primary biliary cirrhosis, or other chronic liver disease | Higher MTBE exposure (≥300 μg/m3) compared to lower exposure (≤100 μg/m3) was suggestively associated with NAFLD (OR 1.52, 95% CI 0.93–1.61) adjusting for age, sex, physical activity, BMI, SBP, DBP, ALT, WBC, TC, TG, LDL, HDL |
Selenium | ||||||||
Yang et al. (2016) [85] | China | Crosssectional | 2011–2012 | Shanghai subsample of Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal study (REACTION) (n=8,550) | Selenium | Plasma selenium | NAFLD (n=3,732) using ultrasonography; exclusions for heavy alcohol consumption or history of liver disease | Higher selenium levels (>247.4 μg/L) compared to lower levels (<181.6 ug/L) were associated with NAFLD (OR 1.54, 95% CI 1.13–2.18) adjusting for age, sex, BMI, smoking, alcohol consumption, physical activity, waist circumference, SBP, DBP, fasting plasma glucose, post-loading plasma glucose, HOMA-IR, lipid profiles and estimated glomerular filtration rate, ALT, AST, GGT, CRP |
Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; CRP, C-reactive protein; DBP, diastolic blood pressure; GGT, gamma-glutamyltransferase; HDL, high-density lipoprotein; HOMA-IR, Homeostatic Model Assessment of Insulin Resistance; LDL, low-density lipoprotein; MTBE, methyl tert-butyl ether; NAFLD, nonalcoholic fatty liver disease; OR, odds ratio; SBP, systolic blood pressure; SES, socioeconomic status; TC, total cholesterol; TG, triglyceride; THM, trihalomethane; WBC, white blood cell.
Heavy metals
Environmental contamination from heavy metals is primarily sourced from industrial and agricultural activities, potentially promoting NAFLD development through mechanisms related to inflammation and insulin resistance [33, 83, 86]. In Taiwan, residential township-based heavy metals exposure (from arsenic, cadmium, chromium, copper, lead, mercury, nickel, and zinc – several of which are IARC Group 1 human carcinogens [75]) was associated with NAFLD among males (adjusted OR 1.83, 95% CI 1.16–2.90) but not females [33]. Although those with heavy alcohol consumption were not excluded, the authors noted that subjects with a history of alcohol consumption were light drinkers [33]. Statistically significant positive associations were observed for copper, chromium, nickel, and zinc (adjusted ORs ranging from 1.01–1.06), and for heavy metals (combined) among lean individuals with BMI <24 kg/m2 [33]. Sex-based differences were also observed in the US-based National Health and Nutrition Examination Survey (NHANES), where urinary cadmium levels were associated with NAFLD among males (adjusted OR 1.30, 95% CI 1.01–1.68) but not females [83]. Positive associations were also observed for hepatic necroinflammation (elevated liver enzymes) and NASH (progressive form of NAFLD), providing potential evidence for metals-induced hepatotoxicity being associated with a spectrum of liver disease outcome measures [83].
Trihalomethanes (THMs)
THMs are by-products formed from chlorination of drinking water, likely contributing to hepatotoxicity through oxidative stress [82]. Using NHANES, total THM levels in blood were not associated with NAFLD, although a positive association was observed for dibromochloromethane (adjusted OR 1.35, 95% CI 1.02–1.79) [82].
Methyl tertiary-butyl ether (MTBE)
MTBE is a component of gasoline that induces oxidative stress in animal studies [84]. Among petrol station attendants in China, there was a suggestive positive association between occupational MTBE exposure from personal monitoring and NAFLD (adjusted OR 1.52, 95% CI 0.93–1.61) [84].
Selenium
Selenium, a naturally occurring trace element that is also formed from industrial activities in electronics and glass, has been associated with increased insulin resistance and triglycerides in animal studies [85]. Plasma selenium levels were associated with NAFLD in China (adjusted OR 1.54, 95% CI 1.13–2.18) [85].
Discussion
In this narrative review of recent epidemiologic literature on environmental risk factors for liver cancer and NAFLD, there were n=28 liver cancer studies examining the effects of aflatoxin, air pollution, PAHs, asbestos, organic solvents, pesticides, PFOA, iron foundry occupation, radiation, brick kiln pollution, and parental occupational exposures to chemicals [38–65] and n=5 NAFLD studies examining the effects of heavy metals, THMs, MTBE, and selenium [33, 82–85].
Studies on the environmental epidemiology of liver cancer in recent years have expanded to provide new perspectives on established risk factors (i.e., aflatoxin) through conducting GxE research. Several studies demonstrated evidence of GxE interactions between serum aflatoxin and genetic polymorphisms in DNA repair genes (e.g., XRCC4) [47, 63], highlighting potential biological mechanisms through which aflatoxin may impact the development of HCC and identifying individuals who may be more susceptible to aflatoxin-induced liver cancer. Future GxE research should consistently conduct and report formal tests for interaction [87]. In addition, one prospective study investigated the impact of aflatoxin on cirrhosis and cirrhotic and non-cirrhotic HCC, which would be informative to explore in a study population that is not entirely comprised of chronic HBV carriers [41].
Environmental-focused liver cancer studies have also expanded to investigate factors classified as IARC Group 1 human carcinogens that have been less extensively studied in liver cancer (e.g., air pollution). For example, several prospective epidemiologic studies suggested a positive association between residential air pollution, particularly PM2.5, and liver cancer risk [49, 51]. Geospatial-based methods in linking geocoded residential addresses to exposure models using GIS have enabled the objective estimation of ambient environmental exposures within these large population-based studies [49, 51]. Positive associations in the ESCAPE study were not statistically significant [51]; inconsistent findings may be associated with examining HCC and other histologies [51] and temporal mismatches where exposures were estimated after liver cancer cases were diagnosed [49, 51]. Nonetheless, these air pollution findings are bolstered by how smoking is a risk factor for liver cancer [88] and several constituents in air pollution (e.g., PAHs, heavy metals such as cadmium) are also present in tobacco smoke [89]. Another study showed positive associations between self-reported indoor air pollution and ETS and HCC risk [48]. Further, B[a]P (a PAH) and occupational exposure among chimney sweepers to soot (which contains compounds such as PAHs and asbestos) were associated with increased liver cancer risk [43, 54, 55], with one study revealing evidence of an interaction between serum B[a]P and epigenetic alterations in GSTP hypermethylation [55]. Future research should examine historical exposures relevant to hepatocarcinogenesis to address a potential latency period (e.g., up to 20 years before diagnosis) and consider potential confounding by factors such as diabetes (associated with both PM2.5 and HCC [90, 91]). HBV and HCV may not be strong confounders in study populations with low prevalence of these infections and as they may not be related to the fine-scale spatial distribution of air pollution (although they may be associated with general urban-rural patterns) [51].
Several retrospective studies demonstrated positive associations between occupational asbestos exposure and liver cancer risk, although they did not adjust for liver cancer risk factors and/or were limited in sample size [38, 61]. An ecological study showed an inverse association between UV radiation and HCC risk, which is consistent with previous epidemiologic research showing that serum vitamin D is associated with decreased HCC risk [92]. Additional research is needed using higher resolution exposure measures and accounting for individual-level HCC risk factors [58]. Although several recent studies examining pesticides were mixed [40, 48, 59], three studies (two were prospective) showed geospatial-based occupational Agent Orange exposure [64, 65] and occupational metolachlor exposure [53] increased liver cancer risk. This is consistent with evidence implicating organochlorine compounds with the development of HCC [77]; the insecticide DDT and TCDD, as a contaminant in Agent Orange, are organochlorines. Self-reported paternal occupational exposure to paints was associated with increased risk for hepatoblastoma, although results may be impacted by recall bias [44]. These findings should be further investigated.
Several studies showed null or inconsistent associations with organic solvents (TCE and PER) [42, 52, 57], pesticides [40, 48, 59], PFOA [39, 56], radiation [45], iron foundry occupation [60], and brick kiln pollution [50]. Several of these studies were occupational, characterized by a small number of cases, inconsistent case definitions, potential residual confounding from known liver cancer risk factors such as alcohol consumption and smoking, crude exposure assessments, and/or the healthy worker effect [40, 42, 45, 57, 60]. Non-occupational studies were also limited by sample size [39, 50, 52]. Differences in case confirmation as well as examination of different histological subtypes of liver cancer (including HCC and intrahepatic bile duct cancer) may have contributed to null/inconsistent results, as risk factor associations have varied by histology [93]. Limitations in exposure assessment may have also influenced results, such as using coarse-scale geographic variables within which exposures may vary, residential location at diagnosis, and self-report [48, 50, 52, 56, 59].
Compared to the literature on liver cancer, the environmental epidemiology of NAFLD is a nascent field, reflected in the relatively modest number of studies included in this review. Several studies showed positive associations between exposures to selenium [85], heavy metals such as cadmium, copper, chromium, nickel, and zinc [33, 83] measured in urine or based on residential location and NAFLD. Sex-based differences in heavy metals adversely affecting males but not females may be due to the anti-inflammatory properties of estrogen [33]. Interestingly, heavy metals exposure was positively associated with NAFLD among individuals with BMI <24 kg/m2, suggesting that adipose tissue may sequester toxins [33, 94]. In addition, there was a suggestive positive association for occupational exposure to MTBE and NAFLD [84] and no association with THMs [82].
However, the NAFLD studies included in this review were cross-sectional examining NAFLD prevalence, precluding the determination of a temporal relationship between exposure and outcome and making it difficult to interpret the findings. In addition, NAFLD was determined based on biochemical tests and/or imaging subject to outcome misclassification compared to the gold standard of liver biopsy. Prospective studies ascertaining biopsy-confirmed NAFLD with long-term follow-up to evaluate incidence are needed. In addition, as these environmental exposures are suspected to affect NAFLD development through mechanisms related to increased triglycerides, insulin resistance, oxidative stress, and/or inflammation, future research should explore if obesity and/or diabetes may mediate these potential associations, as well as identify risk factors among the non-obese to investigate the etiology of lean NAFLD.
Conclusions
Recent epidemiologic studies demonstrated that particular environmental factors may be associated with liver cancer risk, including air pollution; PAHs such as B[a]P; asbestos; chimney sweeping occupation; ultraviolet radiation; and paternal occupational exposure to paints. There was evidence of GxE interactions between aflatoxin, an established liver cancer risk factor, and genetic polymorphisms in DNA repair genes. Exposures to organic solvents such as TCE; pesticides; PFOA; nuclear ionizing radiation; iron foundry occupation; and brick kiln pollution showed null or inconsistent associations with liver cancer. Several studies showed generally positive associations between heavy metals (e.g., cadmium), selenium, MTBE, and NAFLD; no association was observed for THMs. Additional studies are needed to confirm these findings. Future liver cancer research should examine specific histological subtypes (e.g., HCC) and examine historical environmental exposures to address a potential latency period. Future NAFLD research should examine biopsy-confirmed, incident NAFLD cases, mediation by major NAFLD risk factors such as obesity and diabetes, and associations among lean NAFLD cases.
Acknowledgments
This work was supported by the National Institutes of Health (NIH) National Cancer Institute (NCI) Training Program in Cancer Epidemiology (T32 CA009001). The author would like to thank Isabel Holland for providing assistance in conducting the literature search.
Footnotes
Compliance with Ethical Standards
Conflict of Interest
Trang VoPham declares no potential conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
References
Papers of particular interest, published recently, have been highlighted as:
• Of importance
•• Of major importance
- 1.Tapper EB, Parikh ND. Mortality due to cirrhosis and liver cancer in the United States, 1999–2016: observational study. Bmj. 2018;362:k2817. doi: 10.1136/bmj.k2817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ryerson AB, Eheman CR, Altekruse SF, Ward JW, Jemal A, Sherman RL et al. Annual Report to the Nation on the Status of Cancer, 1975–2012, featuring the increasing incidence of liver cancer. Cancer. 2016;122(9):1312–37. doi: 10.1002/cncr.29936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wong MC, Jiang JY, Goggins WB, Liang M, Fang Y, Fung FD et al. International incidence and mortality trends of liver cancer: a global profile. Sci Rep. 2017;7:45846. doi: 10.1038/srep45846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Global Burden of Disease Liver Cancer C, Akinyemiju T, Abera S, Ahmed M, Alam N, Alemayohu MA et al. The Burden of Primary Liver Cancer and Underlying Etiologies From 1990 to 2015 at the Global, Regional, and National Level: Results From the Global Burden of Disease Study 2015. JAMA oncology. 2017;3(12):1683–91. doi: 10.1001/jamaoncol.2017.3055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2018. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
- 6.Allemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Niksic M et al. Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018;391(10125):1023–75. doi: 10.1016/S0140-6736(17)33326-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132(7):2557–76. doi: 10.1053/j.gastro.2007.04.061. [DOI] [PubMed] [Google Scholar]
- 8.Carr B, editor. Hepatocellular Carcinoma: Diagnosis and Treatment. Third ed. Switzerland: Springer International Publishing; 2016. [Google Scholar]
- 9.McGlynn KA, London WT. The global epidemiology of hepatocellular carcinoma: present and future. Clinics in liver disease. 2011;15(2):223–43, vii-x. doi: 10.1016/j.cld.2011.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Smith JW, Kroker-Lobos MF, Lazo M, Rivera-Andrade A, Egner PA, Wedemeyer H et al. Aflatoxin and viral hepatitis exposures in Guatemala: Molecular biomarkers reveal a unique profile of risk factors in a region of high liver cancer incidence. PLoS One. 2017;12(12):e0189255. doi: 10.1371/journal.pone.0189255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Makarova-Rusher OV, Altekruse SF, McNeel TS, Ulahannan S, Duffy AG, Graubard BI et al. Population attributable fractions of risk factors for hepatocellular carcinoma in the United States. Cancer. 2016;122(11):1757–65. doi: 10.1002/cncr.29971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bush H, Golabi P, Younossi ZM. Pediatric Non-Alcoholic Fatty Liver Disease. Children. 2017;4(6). doi: 10.3390/children4060048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Loomba R, Sanyal AJ. The global NAFLD epidemic. Nat Rev Gastroenterol Hepatol. 2013;10(11):686–90. doi: 10.1038/nrgastro.2013.171. [DOI] [PubMed] [Google Scholar]
- 14.Welsh JA, Karpen S, Vos MB. Increasing prevalence of nonalcoholic fatty liver disease among United States adolescents, 1988–1994 to 2007–2010. The Journal of pediatrics. 2013;162(3):496–500 e1. doi: 10.1016/j.jpeds.2012.08.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kanwal F, Kramer JR, Mapakshi S, Natarajan Y, Chayanupatkul M, Richardson PA et al. Risk of Hepatocellular Cancer in Patients with Non-alcoholic Fatty Liver Disease. Gastroenterology. 2018. doi: 10.1053/j.gastro.2018.08.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M et al. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2018;15(1):11–20. doi: 10.1038/nrgastro.2017.109. [DOI] [PubMed] [Google Scholar]
- 17.Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64(1):73–84. doi: 10.1002/hep.28431. [DOI] [PubMed] [Google Scholar]
- 18.Ray K NAFLD-the next global epidemic. Nat Rev Gastroenterol Hepatol. 2013;10(11):621. doi: 10.1038/nrgastro.2013.197. [DOI] [PubMed] [Google Scholar]
- 19.VanWagner LB, Armstrong MJ. Lean NAFLD: A not so benign condition? Hepatol Commun. 2018;2(1):5–8. doi: 10.1002/hep4.1143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ahmed MH, Husain NE, Almobarak AO. Nonalcoholic Fatty liver disease and risk of diabetes and cardiovascular disease: what is important for primary care physicians? Journal of family medicine and primary care. 2015;4(1):45–52. doi: 10.4103/2249-4863.152252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Goh GB, Pagadala MR, Dasarathy J, Unalp-Arida A, Sargent R, Hawkins C et al. Clinical spectrum of non-alcoholic fatty liver disease in diabetic and non-diabetic patients. BBA clinical. 2015;3:141–5. doi: 10.1016/j.bbacli.2014.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kim D, Kim WR. Nonobese Fatty Liver Disease. Clin Gastroenterol Hepatol. 2017;15(4):474–85. doi: 10.1016/j.cgh.2016.08.028. [DOI] [PubMed] [Google Scholar]
- 23.Sturgill MG, Lambert GH. Xenobiotic-induced hepatotoxicity: mechanisms of liver injury and methods of monitoring hepatic function. Clin Chem 1997;43(8 Pt 2):1512–26. [PubMed] [Google Scholar]
- 24.Ledda C, Loreto C, Zammit C, Marconi A, Fago L, Matera S et al. Noninfective occupational risk factors for hepatocellular carcinoma: A review (Review). Molecular medicine reports. 2017;15(2):511–33. doi: 10.3892/mmr.2016.6046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yorita Christensen KL, Carrico CK, Sanyal AJ, Gennings C. Multiple classes of environmental chemicals are associated with liver disease: NHANES 2003–2004. Int J Hyg Environ Health. 2013;216(6):703–9. doi: 10.1016/j.ijheh.2013.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Bishayee A The role of inflammation and liver cancer. Advances in experimental medicine and biology. 2014;816:401–35. doi: 10.1007/978-3-0348-0837-8_16. [DOI] [PubMed] [Google Scholar]
- 27.Wang Z, Li Z, Ye Y, Xie L, Li W. Oxidative Stress and Liver Cancer: Etiology and Therapeutic Targets. Oxidative medicine and cellular longevity. 2016;2016:7891574. doi: 10.1155/2016/7891574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Trevino LS, Katz TA. Endocrine Disruptors and Developmental Origins of Nonalcoholic Fatty Liver Disease. Endocrinology. 2018;159(1):20–31. doi: 10.1210/en.2017-00887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Deierlein AL, Rock S, Park S. Persistent Endocrine-Disrupting Chemicals and Fatty Liver Disease. Current environmental health reports. 2017;4(4):439–49. doi: 10.1007/s40572-017-0166-8. [DOI] [PubMed] [Google Scholar]
- 30.Foulds CE, Trevino LS, York B, Walker CL. Endocrine-disrupting chemicals and fatty liver disease. Nature reviews Endocrinology. 2017;13(8):445–57. doi: 10.1038/nrendo.2017.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wahlang B, Beier JI, Clair HB, Bellis-Jones HJ, Falkner KC, McClain CJ et al. Toxicant-associated steatohepatitis. Toxicol Pathol. 2013;41(2):343–60. doi: 10.1177/0192623312468517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Al-Eryani L, Wahlang B, Falkner KC, Guardiola JJ, Clair HB, Prough RA et al. Identification of Environmental Chemicals Associated with the Development of Toxicant-associated Fatty Liver Disease in Rodents. Toxicol Pathol. 2015;43(4):482–97. doi: 10.1177/0192623314549960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lin YC, Lian IB, Kor CT, Chang CC, Su PY, Chang WT et al. Association between soil heavy metals and fatty liver disease in men in Taiwan: a cross sectional study. BMJ Open. 2017;7(1):e014215. doi: 10.1136/bmjopen-2016-014215.•• In a cross-sectional study in Taiwan, residential soil heavy metals exposure (arsenic, cadmium, chromium, copper, lead, mercury, nickel, zinc) was positively associated with NAFLD among males and among lean individuals with BMI<24 kg/m2; the potential environmental etiology of lean NAFLD should be investigated.
- 34.Do A, Lim JK. Epidemiology of nonalcoholic fatty liver disease: a primer. Clinical Liver Disease. 2016;7(5):106–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lazo M, Hernaez R, Eberhardt MS, Bonekamp S, Kamel I, Guallar E et al. Prevalence of nonalcoholic fatty liver disease in the United States: the Third National Health and Nutrition Examination Survey, 1988–1994. Am J Epidemiol. 2013;178(1):38–45. doi: 10.1093/aje/kws448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Rinella M, Charlton M. The globalization of nonalcoholic fatty liver disease: Prevalence and impact on world health. Hepatology. 2016;64(1):19–22. doi: 10.1002/hep.28524. [DOI] [PubMed] [Google Scholar]
- 37.Baker DB, Nieuwenhuijsen MJ, editors. Environmental epidemiology: study methods and application. Oxford: Oxford University Press; 2008. [Google Scholar]
- 38.Boulanger M, Morlais F, Bouvier V, Galateau-Salle F, Guittet L, Marquignon MF et al. Digestive cancers and occupational asbestos exposure: incidence study in a cohort of asbestos plant workers. Occup Environ Med. 2015;72(11):792–7. doi: 10.1136/oemed-2015-102871. [DOI] [PubMed] [Google Scholar]
- 39.Barry V, Winquist A, Steenland K. Perfluorooctanoic acid (PFOA) exposures and incident cancers among adults living near a chemical plant. Environ Health Perspect. 2013;121(11–12):1313–8. doi: 10.1289/ehp.1306615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kachuri L, Harris MA, MacLeod JS, Tjepkema M, Peters PA, Demers PA. Cancer risks in a population-based study of 70,570 agricultural workers: results from the Canadian census health and Environment cohort (CanCHEC). BMC Cancer. 2017;17(1):343. doi: 10.1186/s12885-017-3346-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Chu YJ, Yang HI, Wu HC, Liu J, Wang LY, Lu SN et al. Aflatoxin B1 exposure increases the risk of cirrhosis and hepatocellular carcinoma in chronic hepatitis B virus carriers. Int J Cancer. 2017;141(4):711–20. doi: 10.1002/ijc.30782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Hansen J, Sallmen M, Selden AI, Anttila A, Pukkala E, Andersson K et al. Risk of cancer among workers exposed to trichloroethylene: analysis of three Nordic cohort studies. J Natl Cancer Inst. 2013;105(12):869–77. doi: 10.1093/jnci/djt107. [DOI] [PubMed] [Google Scholar]
- 43.Hogstedt C, Jansson C, Hugosson M, Tinnerberg H, Gustavsson P. Cancer incidence in a cohort of Swedish chimney sweeps, 1958–2006. Am J Public Health. 2013;103(9):1708–14. doi: 10.2105/AJPH.2012.300860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Janitz AE, Ramachandran G, Tomlinson GE, Krailo M, Richardson M, Spector L Maternal and paternal occupational exposures and hepatoblastoma: results from the HOPE study through the Children’s Oncology Group. J Expo Sci Environ Epidemiol. 2017;27(4):359–64. doi: 10.1038/jes.2017.1.•• A retrospective case-control study in the US showed that self-reported paternal exposure to paints was associated with increased risk for hepatoblastoma, a rare pediatric liver tumor for which few modifiable risk factors are known.
- 45.Labutina EV, Kuznetsova IS, Hunter N, Harrison J, Koshurnikova NA. Radiation risk of malignant neoplasms in organs of main deposition for plutonium in the cohort of Mayak workers with regard to histological types. Health Phys. 2013;105(2):165–76. doi: 10.1097/HP.0b013e31828f57df. [DOI] [PubMed] [Google Scholar]
- 46.Lai H, Mo X, Yang Y, He K, Xiao J, Liu C et al. Association between aflatoxin B1 occupational airway exposure and risk of hepatocellular carcinoma: a case-control study. Tumour Biol. 2014;35(10):9577–84. doi: 10.1007/s13277-014-2231-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Long XD, Zhao D, Wang C, Huang XY, Yao JG, Ma Y et al. Genetic polymorphisms in DNA repair genes XRCC4 and XRCC5 and aflatoxin B1-related hepatocellular carcinoma. Epidemiology. 2013;24(5):671–81. doi: 10.1097/EDE.0b013e31829d2744.• This retrospective case-control study in China showed evidence of a GxE interaction between serum aflatoxin and variants for the XRCC4 DNA repair gene, providing new perspectives on biological mechanisms and genetic susceptibility.
- 48.Niu J, Lin Y, Guo Z, Niu M, Su C. The Epidemiological Investigation on the Risk Factors of Hepatocellular Carcinoma: A Case-Control Study in Southeast China. Medicine (Baltimore). 2016;95(6):e2758. doi: 10.1097/MD.0000000000002758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Pan WC, Wu CD, Chen MJ, Huang YT, Chen CJ, Su HJ et al. Fine Particle Pollution, Alanine Transaminase, and Liver Cancer: A Taiwanese Prospective Cohort Study (REVEAL-HBV). J Natl Cancer Inst. 2016;108(3). doi: 10.1093/jnci/djv341.• In the REVEAL-HBV prospective cohort study, there was a statistically significant positive association between residential PM2.5 exposure and HCC risk on the Taiwan Penghu Islands after adjustment for risk factors including HBV and HCV, although there was a temporal mismatch in the exposure assessment.
- 50.Pasetto R, Ranzi A, De Togni A, Ferretti S, Pasetti P, Angelini P et al. Cohort study of residents of a district with soil and groundwater industrial waste contamination. Ann Ist Super Sanita. 2013;49(4):354–7. doi:DOI: 10.4415/ANN_13_04_06. [DOI] [PubMed] [Google Scholar]
- 51.Pedersen M, Andersen ZJ, Stafoggia M, Weinmayr G, Galassi C, Sorensen M et al. Ambient air pollution and primary liver cancer incidence in four European cohorts within the ESCAPE project. Environ Res. 2017;154:226–33. doi: 10.1016/j.envres.2017.01.006.•• In the ESCAPE prospective cohort study in Europe, there were suggestive positive associations between geospatial-based residential exposures to air pollutants including NO2, NOx, PM10, PM2.5, and PM2.5–10 and liver cancer risk. Exposure assessment was based on high-resolution land use regression models, although there was a temporal mismatch in exposures estimated after cases were diagnosed. However, these results are consistent with evidence showing that smoking, blood B[a]P (PAH found in tobacco smoke and air pollution), and occupational exposure among chimney sweepers (e.g., soot that contains PAHs) increase liver cancer risk.
- 52.Press DJ, McKinley M, Deapen D, Clarke CA, Gomez SL. Residential cancer cluster investigation nearby a Superfund Study Area with trichloroethylene contamination. Cancer Causes Control. 2016;27(5):607–13. doi: 10.1007/s10552-016-0734-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Silver SR, Bertke SJ, Hines CJ, Alavanja MC, Hoppin JA, Lubin JH et al. Cancer incidence and metolachlor use in the Agricultural Health Study: An update. Int J Cancer. 2015;137(11):2630–43. doi: 10.1002/ijc.29621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Su Y, Zhao B, Guo F, Bin Z, Yang Y, Liu S et al. Interaction of benzo[a]pyrene with other risk factors in hepatocellular carcinoma: a case-control study in Xiamen, China. Ann Epidemiol. 2014;24(2):98–103. doi: 10.1016/j.annepidem.2013.10.019.• This retrospective case-control study in China provided further evidence that B[a]P in blood is associated with increased HCC risk.
- 55.Tian M, Zhao B, Zhang J, Martin FL, Huang Q, Liu L et al. Association of environmental benzo[a]pyrene exposure and DNA methylation alterations in hepatocellular carcinoma: A Chinese case-control study. Sci Total Environ. 2016;541:1243–52. doi: 10.1016/j.scitotenv.2015.10.003.•• This retrospective case-control study in China investigated B[a]P exposure and epigenetics, showing higher levels GSTP (detoxification gene) hypermethylation among HCC cases compared to controls, and evidence of an interaction between GSTP gene methylation and serum BPDE-albumin adducts on HCC risk, although the determination of epigenetic alterations as a result of B[a]P vs. HCC is unclear. B[a]P is a PAH and IARC Group 1 human carcinogen found in air pollution and tobacco smoke.
- 56.Vieira VM, Hoffman K, Shin HM, Weinberg JM, Webster TF, Fletcher T. Perfluorooctanoic acid exposure and cancer outcomes in a contaminated community: a geographic analysis. Environ Health Perspect. 2013;121(3):318–23. doi: 10.1289/ehp.1205829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Vlaanderen J, Straif K, Pukkala E, Kauppinen T, Kyyronen P, Martinsen JI et al. Occupational exposure to trichloroethylene and perchloroethylene and the risk of lymphoma, liver, and kidney cancer in four Nordic countries. Occup Environ Med. 2013;70(6):393–401. doi: 10.1136/oemed-2012-101188. [DOI] [PubMed] [Google Scholar]
- 58.VoPham T, Bertrand KA, Yuan JM, Tamimi RM, Hart JE, Laden F. Ambient ultraviolet radiation exposure and hepatocellular carcinoma incidence in the United States. Environ Health. 2017;16(1):89. doi: 10.1186/s12940-017-0299-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.VoPham T, Brooks MM, Yuan JM, Talbott EO, Ruddell D, Hart JE et al. Pesticide exposure and hepatocellular carcinoma risk: A case-control study using a geographic information system (GIS) to link SEER-Medicare and California pesticide data. Environ Res. 2015;143(Pt A):68–82. doi: 10.1016/j.envres.2015.09.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Westberg H, Andersson L, Bryngelsson IL, Ngo Y, Ohlson CG. Cancer morbidity and quartz exposure in Swedish iron foundries. Int Arch Occup Environ Health. 2013;86(5):499–507. doi: 10.1007/s00420-012-0782-4. [DOI] [PubMed] [Google Scholar]
- 61.Wu WT, Lin YJ, Li CY, Tsai PJ, Yang CY, Liou SH et al. Cancer Attributable to Asbestos Exposure in Shipbreaking Workers: A Matched-Cohort Study. PLoS One. 2015;10(7):e0133128. doi: 10.1371/journal.pone.0133128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Wu WT, Lin YJ, Shiue HS, Li CY, Tsai PJ, Yang CY et al. Cancer incidence of Taiwanese shipbreaking workers who have been potentially exposed to asbestos. Environ Res. 2014;132:370–8. doi: 10.1016/j.envres.2014.04.026. [DOI] [PubMed] [Google Scholar]
- 63.Yao JG, Huang XY, Long XD. Interaction of DNA repair gene polymorphisms and aflatoxin B1 in the risk of hepatocellular carcinoma. Int J Clin Exp Pathol. 2014;7(9):6231–44.•• This retrospective case-control study in China investigated GxE interactions between serum aflatoxin exposure and genetic polymorphisms in DNA repair genes (e.g., XRCC4), providing new insights into aflatoxin (a known risk factor for HCC) through highlighting potential biological mechanisms for HCC development and identifying individuals at high risk for aflatoxin-induced HCC.
- 64.Yi SW, Ohrr H. Agent Orange exposure and cancer incidence in Korean Vietnam veterans: a prospective cohort study. Cancer. 2014;120(23):3699–706. doi: 10.1002/cncr.28961.•• This prospective cohort study in the Korean Veterans Health Study showed that geospatial-based occupational Agent Orange exposure was associated with increased risk for liver cancer, adding to existing epidemiologic studies showing that DDT, another organochlorine compound, is associated with liver cancer risk.
- 65.Yi SW, Ohrr H, Hong JS, Yi JJ. Agent Orange exposure and prevalence of self-reported diseases in Korean Vietnam veterans. J Prev Med Public Health. 2013;46(5):213–25. doi: 10.3961/jpmph.2013.46.5.213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Ross RK, Yuan JM, Yu MC, Wogan GN, Qian GS, Tu JT et al. Urinary aflatoxin biomarkers and risk of hepatocellular carcinoma. Lancet. 1992;339(8799):943–6. [DOI] [PubMed] [Google Scholar]
- 67.Davis GL, Dempster J, Meler JD, Orr DW, Walberg MW, Brown B et al. Hepatocellular carcinoma: management of an increasingly common problem. Proceedings. 2008;21(3):266–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.International Agency for Research on Cancer. Outdoor Air Pollution. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Geneva, Switzerland: WHO Press; 2016. [Google Scholar]
- 69.Kim JW, Park S, Lim CW, Lee K, Kim B. The role of air pollutants in initiating liver disease. Toxicol Res. 2014;30(2):65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Bostrom CE, Gerde P, Hanberg A, Jernstrom B, Johansson C, Kyrklund T et al. Cancer risk assessment, indicators, and guidelines for polycyclic aromatic hydrocarbons in the ambient air. Environ Health Perspect. 2002;110 Suppl 3:451–88. doi: 10.1289/ehp.110-1241197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Some non-heterocyclic polycyclic aromatic hydrocarbons and some related exposures. IARC monographs on the evaluation of carcinogenic risks to humans. 2010;92:1–853. [PMC free article] [PubMed] [Google Scholar]
- 72.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Chemical agents and related occupations. IARC monographs on the evaluation of carcinogenic risks to humans. 2012;100(Pt F):9–562. [PMC free article] [PubMed] [Google Scholar]
- 73.Baccarelli A, Bollati V. Epigenetics and environmental chemicals. Current opinion in pediatrics. 2009;21(2):243–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Klutstein M, Nejman D, Greenfield R, Cedar H. DNA Methylation in Cancer and Aging. Cancer research. 2016;76(12):3446–50. doi: 10.1158/0008-5472.CAN-15-3278. [DOI] [PubMed] [Google Scholar]
- 75.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Arsenic, metals, fibres, and dusts. IARC monographs on the evaluation of carcinogenic risks to humans. 2012;100(Pt C):11–465. [PMC free article] [PubMed] [Google Scholar]
- 76.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Trichloroethylene, Tetrachloroethylene, and Some Other Chlorinated Agents. IARC monographs on the evaluation of carcinogenic risks to humans. 2014;106:1–512. [PMC free article] [PubMed] [Google Scholar]
- 77.VoPham T, Bertrand KA, Hart JE, Laden F, Brooks MM, Yuan JM et al. Pesticide exposure and liver cancer: a review. Cancer Causes Control. 2017;28(3):177–90. doi: 10.1007/s10552-017-0854-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. DDT, Lindane, and 2,4-D. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans; Lyon (FR)2018. [Google Scholar]
- 79.Steenland K, Fletcher T, Savitz DA. Epidemiologic evidence on the health effects of perfluorooctanoic acid (PFOA). Environ Health Perspect. 2010;118(8):1100–8. doi: 10.1289/ehp.0901827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Some Chemicals Used as Solvents and in Polymer Manufacture. IARC monographs on the evaluation of carcinogenic risks to humans; 2017;110. [Google Scholar]
- 81.Fukuhara T, Sharp GB, Mizuno T, Itakura H, Yamamoto M, Tokunaga M et al. Liver cancer in atomic-bomb survivors: histological characteristics and relationships to radiation and hepatitis B and C viruses. J Radiat Res. 2001;42(2):117–30. [DOI] [PubMed] [Google Scholar]
- 82.Burch JB, Everson TM, Seth RK, Wirth MD, Chatterjee S. Trihalomethane exposure and biomonitoring for the liver injury indicator, alanine aminotransferase, in the United States population (NHANES 1999–2006). Sci Total Environ. 2015;521–522:226–34. doi: 10.1016/j.scitotenv.2015.03.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Hyder O, Chung M, Cosgrove D, Herman JM, Li Z, Firoozmand A et al. Cadmium exposure and liver disease among US adults. J Gastrointest Surg. 2013;17(7):1265–73. doi: 10.1007/s11605-013-2210-9.• In a cross-sectional study in the US, urinary cadmium levels (a heavy metal) was associated with NAFLD among males, representing additional evidence in a different study population showing a potential link between heavy metals exposure and NAFLD.
- 84.Yang J, Wei Q, Peng X, Peng X, Yuan J, Hu D. Relationship between Methyl Tertiary Butyl Ether Exposure and Non-Alcoholic Fatty Liver Disease: A Cross-Sectional Study among Petrol Station Attendants in Southern China. Int J Environ Res Public Health. 2016;13(10). doi: 10.3390/ijerph13100946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Yang Z, Yan C, Liu G, Niu Y, Zhang W, Lu S et al. Plasma selenium levels and nonalcoholic fatty liver disease in Chinese adults: a cross-sectional analysis. Sci Rep. 2016;6:37288. doi: 10.1038/srep37288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Tchounwou PB, Yedjou CG, Patlolla AK, Sutton DJ. Heavy metal toxicity and the environment. EXS. 2012;101:133–64. doi: 10.1007/978-3-7643-8340-4_6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Dunn EC, Uddin M, Subramanian SV, Smoller JW, Galea S, Koenen KC. Research review: gene-environment interaction research in youth depression - a systematic review with recommendations for future research. J Child Psychol Psychiatry. 2011;52(12):1223–38. doi: 10.1111/j.1469-7610.2011.02466.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Lee YC, Cohet C, Yang YC, Stayner L, Hashibe M, Straif K. Meta-analysis of epidemiologic studies on cigarette smoking and liver cancer. Int J Epidemiol. 2009;38(6):1497–511. doi: 10.1093/ije/dyp280. [DOI] [PubMed] [Google Scholar]
- 89.IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Outdoor Air Pollution. IARC monographs on the evaluation of carcinogenic risks to humans. 2016;109:9–444. [PMC free article] [PubMed] [Google Scholar]
- 90.Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z. The 2016 global and national burden of diabetes mellitus attributable to PM2.5 air pollution. The Lancet Planetary health. 2018;2(7):e301–e12. doi: 10.1016/S2542-5196(18)30140-2. [DOI] [PubMed] [Google Scholar]
- 91.Simon TG, King LY, Chong DQ, Nguyen LH, Ma Y, VoPham T et al. Diabetes, metabolic comorbidities, and risk of hepatocellular carcinoma: Results from two prospective cohort studies. Hepatology. 2018;67(5):1797–806. doi: 10.1002/hep.29660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Fedirko V, Duarte-Salles T, Bamia C, Trichopoulou A, Aleksandrova K, Trichopoulos D et al. Prediagnostic circulating vitamin D levels and risk of hepatocellular carcinoma in European populations: a nested case-control study. Hepatology. 2014;60(4):1222–30. doi: 10.1002/hep.27079. [DOI] [PubMed] [Google Scholar]
- 93.VoPham T, Weaver MD, Vetter C, Hart JE, Tamimi RM, Laden F et al. Circadian Misalignment and Hepatocellular Carcinoma Incidence in the United States. Cancer Epidemiol Biomarkers Prev. 2018;27(7):719–27. doi: 10.1158/1055-9965.EPI-17-1052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.La Merrill M, Emond C, Kim MJ, Antignac JP, Le Bizec B, Clement K et al. Toxicological function of adipose tissue: focus on persistent organic pollutants. Environ Health Perspect. 2013;121(2):162–9. doi: 10.1289/ehp.1205485. [DOI] [PMC free article] [PubMed] [Google Scholar]