Abstract
Incidence of non-alcoholic fatty liver disease (NAFLD) and liver cancer are 2–3 times higher in males than females. Hormonal mechanisms are hypothesized, with studies suggesting that oophorectomy may increase risk, but population-based evidence is limited. Thus, we conducted a study within the Clinical Practice Research Datalink, with controls matched to cases of NAFLD (n=10,082 cases/40,344 controls) and liver cancer (n=767 cases/3,068 controls). Odds ratios and 95% confidence intervals were estimated using conditional logistic regression. Effect measure modification by menopausal hormone therapy (MHT) was examined, using likelihood ratio tests and relative excess risk due to interaction (RERI). Oophorectomy was associated with a 29% elevated NAFLD risk (OR=1.29,95%CI:1.18–1.43), which was more pronounced in women without diabetes (OR=1.41,95%CI:1.27–1.57) and in women who had oophorectomy prior to age 50 (OR=1.37,95%CI:1.22–1.52). Compared to women without oophorectomy or MHT use, oophorectomy and MHT were each associated with over 50% elevated risk of NAFLD. However, the combination of oophorectomy and MHT showed evidence of a negative interaction on the multiplicative (p=0.003) and additive scales (RERI=−0.28,95%CI:−0.60–0.03,P=0.08). Oophorectomy, overall, was not associated with elevated liver cancer risk (OR=1.16,95% CI:0.79–1.69). These findings suggest that oophorectomy may increase the risk of NAFLD, but not liver cancer.
Keywords: Hormones, Liver cancer, Menopausal hormone therapy, Non-alcoholic fatty liver disease, Oophorectomy
INTRODUCTION
Non-alcoholic fatty liver disease (NAFLD) is characterized by fat deposition in the liver which is not attributable to alcohol consumption; this encompasses simple steatosis (e.g., non-alcoholic fatty liver) to more progressive steatosis (e.g., non-alcoholic steatohepatitis) (1, 2). NAFLD prevalence is estimated to range from 10–30% in Western populations (3, 4). Rates of NAFLD have been increasing with the growing prevalence of the known primary risk factors, including obesity, diabetes, and metabolic syndrome (3, 5), and the prevalence of NAFLD is forecast to increase by over 20% between 2015 and 2030 (6). NAFLD can cause inflammation, oxidative stress, insulin resistance, and fibrosis, which may lead to cirrhosis and/or liver cancer (3, 5, 7).
Primary liver cancer accounts for approximately 5.6% of new cancer diagnoses worldwide (8), and incidence has been rising rapidly in a number of Western countries, including the United Kingdom (UK) (9). Liver cancer is usually predated by oxidative stress and inflammation (10, 11). While hepatitis B virus (HBV), hepatitis C virus (HCV), and aflatoxin consumption are well accepted risk factors for liver cancer, obesity, type 2 diabetes, and NAFLD have also recently become recognized as important risk factors (6, 11, 12).
Rates of NAFLD and liver cancer are 2–3 times higher in men than in women (3, 11, 13, 14). These differential rates have not been fully explained by known risk factors that vary by sex (15, 16). Thus, it has been suggested that hormones may account for the observed disparity. This hypothesis is supported by several epidemiologic studies have reported that oophorectomy is associated with increased risk of NAFLD (17) and liver cancer (18, 19). Similarly, ovariectomy of female rodents increases the occurrence of liver disease and tumors (20–22). It has also been reported that ovariectomy increases oxidative stress and inflammation in the livers of female mice (23). Conversely, use of exogenous hormonal preparations, such as menopausal hormone therapy (MHT), has been associated with a lower risk of NAFLD (24) and liver cancer (18, 25002D27). This evidence suggests that oophorectomy may increase, and MHT may reduce, risk of NAFLD and liver cancer.
The few prior population-based studies that have examined oophorectomy have been limited by small sample size (17, 18) and/or self-reported oophorectomy (18, 19). Additionally, the association between age at oophorectomy and NAFLD or liver cancer risk has not been thoroughly examined, and no studies to date have examined if MHT modifies the association between oophorectomy and NAFLD or liver cancer. Thus, the current study examined oophorectomy ascertained from medical records in association with the risk of NAFLD and primary liver cancer, and whether MHT modifies risk, in a large cohort of UK women.
MATERIALS AND METHODS
Data source
We conducted a nested case-control study within the Clinical Practice Research Datalink (CPRD), a UK database of anonymized, population-based electronic medical records of the National Health Services (28). The age and gender distributions in the CPRD are representative of the general UK population (29). The CPRD contains medical data on approximately 6.9% of the UK population (28). Data, including demographic information, medical diagnoses, hospital referrals, and prescriptions, are collected on a monthly basis from general practitioners (30). Clinical information is recorded using Read codes rather than International Classification of Diseases (ICD) codes. Additionally, all prescribing information for medications is captured in an anonymous format for research purposes. Validation studies have shown the CPRD to be highly complete and accurate regarding clinical illness diagnoses and prescription information (30). Supporting medical documents routinely show that diagnoses in the CPRD are present in more than 90% of clinical records (31) and approximately 95% of primary cancers recorded in CPRD are confirmed as incident by another source (e.g., cancer registry) (32). This study was approved by the National Institutes of Health Office of Human Subjects Research.
Study population
The study population was drawn from all females in the CPRD from January 1, 1988 through July 31, 2017, from practices with up to standard (UTS) time. UTS time does not ensure data quality, but it is recommended for use as a proxy of quality data recording by the practices (28). Cases included NAFLD (Read code: J61y100) and primary liver cancer (Read codes: B150300, B150z00, B152.00, BB5D500, BB5D700, BB5D800, B15z.00, B15..00, B150.00, B151.00, B151z00, B151200, B151400, B150000, B150200, B151000, BB5D513, BB5D512, Byu1100). For liver cancer, cases were not eligible if they had a liver metastasis or a diagnosis of any of the five cancers most likely to metastasize to the liver in the 5 years prior to liver cancer diagnosis (i.e., lung, stomach, breast, colon, or pancreatic cancer).
Controls were matched to cases at a four-to-one ratio by age (year of birth), general practice, and length of time in the CPRD. Controls met the following criteria: 1) no previous NAFLD or liver cancer diagnosis; 2) the same number of years as the matched case in the CPRD; and 3) alive with activity in the CPRD at the time of the matched case’s date of diagnosis. The index date for each control was recorded as the diagnosis date of the matched case. Our study population consisted of 10,082 NAFLD cases and 40,344 matched controls and 767 liver cancer cases and 3,068 matched controls.
Three separate case-control matches were conducted for this study. In addition to the primary match, we conducted matches based on the presence or absence of diabetes at index date (for both the NAFLD and liver cancer analyses) and the presence or absence of chronic liver disease at index date (for the liver cancer analysis only). Both used the same matching factors as the primary match, but additionally allowed for stratification by diabetes and by chronic liver disease.
Oophorectomy
We identified all oophorectomies prior to diagnosis among the cases or index date among the controls. Oophorectomy was further classified by laterality of oophorectomy (bilateral, unilateral, or unknown), length of time between oophorectomy and diagnosis or index date (<20 or ≥20 years), and age at oophorectomy (<50 or ≥50 years of age). The referent group were women who had not had an oophorectomy prior to diagnosis date or index date. The ratio of the odds ratios (ROR) was calculated to determine heterogeneity between oophorectomy laterality, length of time between oophorectomy and diagnosis, and age at oophorectomy procedure.
Statistical Analysis
We calculated odds ratios (ORs) and 95% confidence intervals (95% CI) using conditional logistic regression analysis, adjusting for smoking status prior to diagnosis (never, former, current smoker), history of alcohol-related disorders, diagnosis of HBV or HCV, body mass index (BMI, <18.5, 18.5–<25, 25–<30, ≥30 kg/m2), and MHT use (ever, never). Covariates were recorded prior to diagnosis among the cases or index date among the controls. Missing values for BMI (24.1% of NAFLD population and 29.6% of the liver cancer population) and smoking status (2.2% and 6.9%, respectively) were imputed using the PROC MI procedure (SAS Institute Inc., Cary, NC). Effect measure modification was evaluated by testing for deviation from 1) a multiplicative interaction model, using the likelihood ratio test to compare the fit of models with and without an interaction term, and 2) an additive interaction model, using the relative excess risk due to interaction (RERI) (33). We further examined stratification of the oophorectomy-liver outcome relationship by type of MHT use (any MHT use, estrogen only, estrogen-progesterone combination only), diabetes, and, for the liver cancer cases, the presence of chronic liver disease. Finally, to ensure maximum recording of medical history, we conducted a sensitivity analysis whereby we required all patients to have at least three years of history in the CPRD prior to diagnosis or index date. All tests were 2-sided. All statistical analyses were performed using SAS Software 9.4 (SAS Institute Inc., Cary, NC, USA).
RESULTS
Characteristics of the NAFLD and liver cancer cases and matched controls are represented in Table 1. Both case groups were more likely than the matched controls to have a history of diabetes and smoking. NAFLD cases were more likely to be classified as overweight or obese and to have used MHT. Liver cancer cases were more likely to have alcohol-related disorders, chronic HBV or HCV infection, and a history of chronic liver disease.
Table 1.
Characteristics | Non-alcoholic Fatty Liver Disease | Liver Cancer | ||
---|---|---|---|---|
Cases (N=10,082) |
Controls (N=40,344) |
Cases (N=767) |
Controls (N=3,068) |
|
Age (years), mean (SD) | 56.1 (12.8) | 56.0 (12.8) | 70.3 (13.8) | 70.3 (13.8) |
Body Mass Index (kg/m2), n (%) | ||||
<18.5 | 27 (0.3) | 794 (2.0) | 37 (4.8) | 110 (3.6) |
18.5–<25.0 | 779 (7.7) | 14323 (35.5) | 289 (37.7) | 1,181 (38.5) |
25.0–<30.0 | 2,716 (26.9) | 13248 (32.8) | 248 (32.3) | 1,045 (34.1) |
>30 | 6,560 (65.1) | 11979 (29.7) | 193 (25.2) | 732 (23.9) |
Alcohol-related disorders, n (%) | ||||
Yes | 262 (2.6) | 1026 (2.5) | 43 (5.6) | 42 (1.4) |
No | 9,820 (97.4) | 39318 (97.5) | 724 (94.4) | 3026 (98.6) |
Smoking status, n (%) | ||||
Never | 2,972 (29.5) | 12,786 (31.7) | 167 (21.8) | 860 (28.0) |
Former | 5,221 (51.8) | 18,640 (46.2) | 409 (53.3) | 1717 (56.0) |
Current | 1,889 (18.7) | 8,918 (22.1) | 191 (24.9) | 491 (16.0) |
Chronic HBV/HCV infection, n (%) | ||||
Yes | 31 (0.3) | 71 (0.2) | 23 (3.0) | 2 (0.1) |
No | 10,051 (99.7) | 40,273 (99.8) | 744 (97.0) | 3,066 (99.9) |
Chronic Liver Disease, n (%) | ||||
Yes | 123 (16.0) | 8 (0.3) | ||
No | 644 (84.0) | 3,060 (99.7) | ||
Diabetes, n (%) | ||||
Yes | 2,261 (22.4) | 2,443 (6.1) | 176 (23.0) | 328 (10.7) |
No | 7,821 (77.6) | 37,901 (93.9) | 591 (77.0) | 2,740 (89.3) |
Menopausal Hormone Therapy(MHT), n (%) | ||||
Any MHT use | 3,290 (32.6) | 10,331 (25.6) | 144 (18.8) | 660 (21.5) |
Estrogen Only | 1,248 (12.4) | 3,288 (8.2) | 55 (8.1) | 238 (9.0) |
Estrogen+progesterone Only | 1,103 (10.9) | 4,250 (10.5) | 59 (9.3) | 248 (8.7) |
Women who had undergone an oophorectomy had a 29% increased risk of NAFLD (OR=1.29, 95% CI: 1.18, 1.43), compared to women with both ovaries (Table 2). The increased risk of NAFLD associated with oophorectomy was consistent for bilateral and unilateral oophorectomy (ORbilateral=1.30, 95% CI: 1.16, 1.44 and ORunilateral=1.37, 95% CI: 1.11, 1.68) and length of time between surgery and NAFLD diagnosis (OR<20 years=1.34, 95% CI: 1.20, 1.49 and OR≥20 years=1.20, 95% CI: 1.01, 1.43). There was evidence of heterogeneity by age at oophorectomy, with women receiving an oophorectomy prior to age 50 at a higher risk of NAFLD (OR<50 years=1.37, 95% CI: 1.22, 1.52 and OR≥50 years=1.15, 95% CI: 0.98, 1.36; ROR=1.18, 95% CI: 0.98, 1.43, p=0.09). Further stratification by age at oophorectomy (<40, 40−<45, 45−<50, and ≥50 years) produced similar results. Oophorectomy was not associated with an increased risk of liver cancer (OR=1.16, 95% CI: 0.79, 1.69). However, oophorectomy prior to age 45 was associated with a 71–75% increased risk, though estimates included the null (OR<40 years=1.75, 95% CI: 0.80, 3.79, OR40−<45 years=1.71, 95% CI: 0.80, 3.65). In the sensitivity analysis where we required all women to have at least a three-year history in the CPRD prior to diagnosis or index date, results were consistent (data not shown).
Table 2.
Non-alcoholic Fatty Liver Disease | Liver Cancer | |||||
---|---|---|---|---|---|---|
Cases | Controls | OR(95%CI) | Cases | Controls | OR(95%CI) | |
Oophorectomy | ||||||
No | 9,190 | 38,118 | Referent | 717 | 2,902 | Referent |
Yes | 892 | 2,226 | 1.29 (1.18, 1.43) | 50 | 166 | 1.16 (0.79, 1.69) |
Laterality | ||||||
Bilateral | 670 | 1,630 | 1.30 (1.16, 1.44) | 34 | 125 | 1.01 (0.65, 1.59) |
Unilateral | 165 | 421 | 1.37 (1.11, 1.68) | 12 | 31 | 2.00 (0.93, 4.32) |
Unknown | 57 | 175 | 1.17 (0.84, 1.63) | 4 | 10 | 0.87 (0.19, 3.92) |
Years since oophorectomy | ||||||
<20 | 663 | 1,583 | 1.34 (1.20, 1.49) | 22 | 65 | 1.28 (0.71, 2.32) |
≥20 | 228 | 639 | 1.20 (1.01, 1.43) | 28 | 101 | 1.09 (0.67, 1.76) |
Oophorectomy prior to age 50 | ||||||
No | 245 | 712 | 1.15 (0.98, 1.36) | 15 | 66 | 0.92 (0.48, 1.76) |
Yes | 647 | 1,514 | 1.37 (1.22, 1.52) | 35 | 100 | 1.30 (0.83, 2.05) |
Age at oophorectomy | ||||||
<40 | 250 | 525 | 1.50 (1.26, 1.79) | 13 | 28 | 1.75 (0.80, 3.79) |
40–<45 | 164 | 425 | 1.23 (1.00, 1.52) | 12 | 30 | 1.71 (0.80, 3.65) |
45–<50 | 233 | 564 | 1.34 (1.23, 1.59) | 10 | 42 | 0.78 (0.34, 1.75) |
≥50 | 245 | 712 | 1.15 (0.98, 1.36) | 15 | 66 | 0.92 (0.48, 1.77) |
p-trend | <0.0001 | 0.4 |
Matched on age, general practice, and length of time in the CPRD and adjusted for body mass index (<18.5, 18.5–<25, 25–<30, ≥30 kg/m2), alcohol-related disorders, smoking status (never, former, current), chronic hepatitis B or C infection, chronic liver disease, diabetes, and menopausal hormone therapy use (ever, never).
In Table 3, we examined the interaction between oophorectomy and MHT use. There is evidence of a negative interaction of MHT use on the association between oophorectomy and NAFLD on both the multiplicative (P-interaction=0.003) and additive scale (RERI=−0.28, 95% CI: −0.60, 0.03, p=0.08). Oophorectomy was associated with a 54% increased risk of NAFLD (OR=1.54, 95% CI: 1.33, 1.77) among women with no MHT use, but only a 15% increased risk of NAFLD (OR=1.15, 95% CI: 1.02, 1.30) among women with MHT use. Compared to women with no oophorectomy and no MHT use, the combination of oophorectomy and MHT use was associated with a less-than-additive 89% increased risk of NAFLD (OR=1.89, 95% CI: 1.68, 2.13). This relationship was similar for estrogen only use and estrogen-progesterone use. There was no evidence for effect modification by age, BMI, or smoking status (P≥0.05) on the association between oophorectomy and NAFLD or liver cancer. Additionally, there was no evidence for effect modification by MHT use (P-interaction≥0.05) on the association between oophorectomy and liver cancer, with women that had an oophorectomy and used MHT at no increased risk (OR=1.01, 95% CI: 0.55, 1.87).
Table 3.
Non-alcoholic Fatty Liver Disease | Cases | Controls | Multiplicative Scale | Additive Scale | |||
---|---|---|---|---|---|---|---|
Stratified OR (95% CI) | p-interaction | Single Referent OR (95% CI) | RERI§ (95%CI) | ||||
MHT Use | Oophorectomy | ||||||
No | No | 6,442 | 29,113 | Referent | Referent | ||
Yes | 350 | 900 | 1.54 (1.33, 1.77) | 1.54 (1.33, 1.77) | |||
Yes | No | 2,748 | 9,005 | Referent | 1.64 (1.54,1.75) | ||
Yes | 542 | 1,326 | 1.15 (1.02,1.30) | 0.003 | 1.89 (1.68, 2.13) | −0.28 (−0.60, 0.03) | |
Estrogen Use† | Oophorectomy | ||||||
No | No | 6,442 | 29,113 | Referent | Referent | ||
Yes | 350 | 900 | 1.56 (1.34,1.81) | 1.56 (1.34, 1.81) | |||
Yes | No | 889 | 2,398 | Referent | 1.83 (1.65, 2.03) | ||
Yes | 359 | 890 | 1.01 (0.85,1.21) | 0.0003 | 1.85 (1.58, 2.16) | −0.54 (−0.94, −0.13) | |
Estrogen-Progesterone‡ | Oophorectomy | ||||||
No | No | 6,442 | 29,113 | Referent | Referent | ||
Yes | 350 | 900 | 1.60 (1.37, 1.86) | 1.60 (1.37,1.86) | |||
Yes | No | 1,072 | 4,142 | Referent | 1.49 (1.36, 1.64) | ||
Yes | 31 | 108 | 0.90 (0.55, 1.48) | 0.03 | 1.34 (0.82, 2.20) | −0.75 (−1.46, −0.03) | |
Liver Cancer | |||||||
MHT Use | Oophorectomy | ||||||
No | No | 593 | 2,310 | Referent | Referent | ||
Yes | 30 | 98 | 1.12 (0.70,1.81) | 1.12 (0.70,1.81) | |||
Yes | No | 124 | 592 | Referent | 0.83 (0.64, 1.08) | ||
Yes | 20 | 68 | 1.22 (0.64, 2.32) | 0.8 | 1.01 (0.55, 1.87) | 0.06 (−0.77, 0.90) | |
Estrogen Use† | Oophorectomy | ||||||
No | No | 593 | 2,310 | Referent | Referent | ||
Yes | 30 | 98 | 1.11 (0.68,1.82) | 1.11 (0.68, 1.82) | |||
Yes | No | 41 | 189 | Referent | 0.99 (0.65, 1.50) | ||
Yes | 14* | 49 | 1.15 (0.51, 2.64) | 0.9 | 1.14 (0.55, 2.36) | 0.04 (−1.03, 1.11) | |
Estrogen-Progesterone‡ | Oophorectomy | ||||||
No | No | 593 | 2,310 | Referent | Referent | ||
Yes | 30 | 98 | 1.09 (0.67,1.78) | 1.09 (0.67, 1.78) | |||
Yes | No | 57 | 240 | Referent | 0.79 (0.53, 1.16) | ||
Yes | 2 | 8 | 0.73 (0.10, 5.53) | 0.7 | 0.58 (0.08, 4.21) | −0.30 (−1.60, 0.99) |
Matched on age, general practice, and length of time in the CPRD and adjusted for body mass index (<18.5, 18.5–<25, 25–<30, ≥30 kg/m2), alcohol-related disorders, smoking status (never, former, current), chronic hepatitis B or C infection, chronic liver disease, and diabetes.
Estrogen-only use was examined compared to the referent group of no MHT use.
Estrogen-progesterone combination-only use was examined compared to the referent group of no MHT use.
Relative excess risk due to interaction (RERI). The null hypothesis is that RERI=0. RERI>0 indicates a positive or additive interaction and a RERI<0 indicates a negative or less than additive interaction.
When stratified by diabetes, oophorectomy was associated with a slightly higher risk of NAFLD among individuals without a history of diabetes (OR=1.41, 95% CI: 1.27, 1.57) versus those with a history of diabetes (OR=1.10, 95% CI: 0.85, 1.42, P-interaction=0.07, Supplemental Table 1). The lack of an association between oophorectomy and liver cancer was consistent when stratified by history of diabetes or chronic liver disease (Supplemental Table 2).
DISCUSSION
Oophorectomy was associated with a 29% increased risk of NAFLD, which was stronger for women that had the procedure prior to age 50 or women without a history of diabetes. There was a less-than-additive interaction between MHT use and oophorectomy, resulting in an 89% increased risk of NAFLD among women with a history of both MHT use and oophorectomy, compared to women with neither. Overall, oophorectomy was not associated with liver cancer risk.
In this study, we comprehensively evaluated the association between oophorectomy and NAFLD and liver cancer, utilizing data recorded by general practitioners. We report that any oophorectomy is associated with a 29% increased risk of NAFLD, and a bilateral oophorectomy is associated with a 30% increased risk. Similarly, in a study of women with a prior diagnosis of endometrial cancer, medically recorded bilateral oophorectomy increased risk of NAFLD by 70% (17). Premenopausal bilateral oophorectomy at the time of hysterectomy has also been found to increase risk of death by cardiovascular disease and all-cause mortality compared to women with ovarian preservation in UK (34) and US populations (35–37). As cardiovascular disease is the main cause of death among persons with NAFLD (38), the association observed between oophorectomy and cardiovascular disease further supports the findings of the current study.
Experimentally, ovariectomized rats fed a high-fat diet have disrupted lipid metabolism, which results in hepatic fat and cholesterol accumulation (39). Similarly, ovariectomized mice fed a high-fat diet have accelerated NAFLD progression (22). Mechanisms underlying liver fat accumulation may be in part due to improper activation of lipid oxidation and attenuated lipid exportation in ovariectomized rodents fed a high-fat diet (39).
We found no association between oophorectomy, overall, and liver cancer. However, unilateral oophorectomy, <20 years since oophorectomy, and oophorectomy prior to age 50 were associated with possible increased risk of liver cancer. These findings differ from prior experimental and population-based studies. Several experimental animal studies have reported that ovariectomy increases liver cancer development (20, 21) and accelerates tumor growth in rodents (40). Two population-based studies of the oophorectomy-liver cancer association have previously been conducted (18, 19). In a Taiwanese study, women who had a premenopausal oophorectomy were at 2.6-fold increased risk factor of hepatocellular carcinoma (the dominant histology of liver cancer) (18), while a US study conducted by our group reported bilateral oophorectomy to be associated with twice the risk of hepatocellular carcinoma (19). The previous two reports included only diagnostically confirmed hepatocellular carcinoma cases and relied on self-reported oophorectomy (18, 19), which may have lower accuracy that oophorectomy recorded in medical records (41). In contrast, the current study includes all primary liver cancer cases and utilized oophorectomy recorded in the medical records. Thus, the somewhat discrepant findings might be partially explained by differences in case definition and exposure assessment.
MHT use has also been associated with lower risk of NAFLD and lower liver enzyme levels (24, 42, 43). However, in the current study, MHT use among women without an oophorectomy was associated with a 64% increased risk of NAFLD. MHT has been shown to improve insulin sensitivity without affecting body composition, and this improved insulin sensitivity typically reverses within one year after discontinuation of MHT (44). Thus, the current study may have included some women after they have discontinued MHT use. Prior studies also have suggested that prolonged exposure to estrogen reduces the risk of liver cancer (45). MHT use has been found to be associated with a 30–80% decreased risk of liver cancer in studies conducted within the UK (14), Italy (26, 46), Sweden (27), and Taiwan (18). However, these findings are contradicted by several studies reporting null associations of MHT and liver cancer (19, 47). Similar to a prior study conducted by our team using data from CPRD (25), we report that MHT use among women without an oophorectomy was associated with a 17% decreased liver cancer risk. The prior study, however, did not have information on oophorectomy status. In our current study, we report that women that had an oophorectomy and used MHT had no increased risk of liver cancer.
The mammalian liver is a sexually dimorphic organ, where many metabolic processes are regulated by androgens and estrogens. For example, the liver exhibits major sex differences in the profiles of steroid and drug metabolism (48, 49). Recent evidence suggests that estrogens could have both a protective and deleterious effect on hepatocarcinogenesis (50). In the current study, we found that MHT and oophorectomy were both associated with an elevated risk of NAFLD. This suggests that any imbalance in the hormonal milieu may have consequences for early liver tumorigenesis.
Our study has several limitations. First, as this study was not linked to a cancer registry, it is possible that some secondary liver cancer cases were misclassified as primary liver cancer cases. However, we attempted to control for this by excluding patients with diagnoses of cancers most likely to metastasize to the liver (i.e., lung, stomach, breast, colon, pancreatic cancer) in the past five years. Additionally, NAFLD may not have been completely ascertained as it can be asymptomatic at early stages (51). However, nondifferential sensitivity of disease detection will likely result in our reported OR being biased towards the null (52). Second, because we did not have data on age at menopause, we stratified the analysis on age 50. Third, we cannot be certain that all HBV and HCV diagnoses were captured in the medical record data, as infected individuals can be asymptomatic and persons are only tested when there is a reason to do so. Additionally, CPRD captures limited information on alcohol use; thus, we utilized medical disorders known to be associated with alcohol use (e.g., cirrhosis) (53). While these conditions likely serve as a proxy only for individuals with extreme alcohol use, heavy, not light-to-moderate, alcohol consumption is associated with an increased risk of liver cancer (54). Finally, CPRD does not consistently record race and ethnicity of individuals, thus these variables were not included as covariates. Nonetheless, the UK population is predominantly white, therefore racial/ethnic differences are unlikely to attenuate our results. Generalizing our findings to other populations and racial/ethnic groups, however, should be done with caution.
Despite these limitations, our study had several strengths including its large sample size. Additionally, the CPRD has demonstrated completeness of cancer diagnoses and pharmaceutical information (30, 31). Our study pulled from medical records that are routinely collected from the population without the intention of being included in a study, minimizing recall and self-report biases. Since the UK utilizes a universal healthcare system, potential systematic exclusion of specific socioeconomic groups was minimized. Finally, our analysis accounted for many potential confounders, including BMI, diabetes, history of alcohol abuse, smoking, and HBV/HCV infection.
In conclusion, oophorectomy increased the risk of NAFLD, particularly among women with oophorectomy at a younger age or without diabetes. The highest NAFLD risk was among women who had an oophorectomy and used MHT, suggesting that a perturbation in the hormonal milieu may be involved in NAFLD development, but the interaction was less-than-additive. There was no overall association between oophorectomy and liver cancer risk. Future studies are needed to determine hormonal mechanisms underlying the oophorectomy-NAFLD association and to further clarify the sex disparity found in NAFLD and liver cancer.
Supplementary Material
Acknowledgements:
The authors wish to thank Drs. Michael B. Cook, Shahinaz M. Gadalla and Julia C. Gage of the National Cancer Institute for help with covariate creation; Emily Carver and David Ruggieri of Information Management Systems, Inc., for assistance with data curation and file preparation; and Dr. Hannah Arem of the Milken Institute School of Public Health for her support of this project.
Funding: This work was supported by the National Institutes of Health Intramural Research Program, National Cancer Institute.
Abbreviations:
- BMI
body mass index
- CI
confidence interval
- CPRD
Clinical Practice Research Datalink
- HBV
hepatitis B virus
- HCC
hepatocellular carcinoma
- HCV
hepatitis C virus
- MHT
menopausal hormone therapy
- NAFLD
non-alcoholic fatty liver disease
- OR
odds ratio
- UK
United Kingdom
Footnotes
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
Disclaimer: Dr. Marie Bradley is an employee of the US Food and Drug Administration (FDA), however, the views expressed in this article are those of the authors and are not necessarily those of the FDA.
Contributor Information
Andrea A. Florio, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Barry I. Graubard, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
Baiyu Yang, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland; Stanford Cancer Institute, Stanford University, Palo Alto, California.
Jake E. Thistle, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
Marie C. Bradley, Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
Katherine A. McGlynn, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
Jessica L. Petrick, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
References
- 1.Sayiner M, Koenig A, Henry L, et al. Epidemiology of Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis in the United States and the Rest of the World. Clin Liver Dis 2016;20(2):205–14. [DOI] [PubMed] [Google Scholar]
- 2.Chalasani N, Younossi Z, Lavine JE, et al. The diagnosis and management of non-alcoholic fatty liver disease: practice guideline by the American Gastroenterological Association, American Association for the Study of Liver Diseases, and American College of Gastroenterology. Gastroenterology 2012;142(7):1592–609. [DOI] [PubMed] [Google Scholar]
- 3.Vernon G, Baranova A, Younossi ZM. Systematic review: the epidemiology and natural history of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults. Alimentary pharmacology & therapeutics 2011;34(3):274–85. [DOI] [PubMed] [Google Scholar]
- 4.Lazo M, Hernaez R, Eberhardt MS, 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] [PMC free article] [PubMed] [Google Scholar]
- 5.Engin A Non-Alcoholic Fatty Liver Disease. Adv Exp Med Biol 2017;960:443–67. [DOI] [PubMed] [Google Scholar]
- 6.Estes C, Razavi H, Loomba R, et al. Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease. Hepatology 2018;67(1):123–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Shen M, Shi H. Sex Hormones and Their Receptors Regulate Liver Energy Homeostasis. Int J Endocrinol 2015;2015:294278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. International Journal of Cancer 2015;136(5):E359–E86. [DOI] [PubMed] [Google Scholar]
- 9.Ladep NG, Khan SA, Crossey MM, et al. Incidence and mortality of primary liver cancer in England and Wales: changing patterns and ethnic variations. World J Gastroenterol 2014;20(6):1544–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ambade A, Mandrekar P. Oxidative stress and inflammation: essential partners in alcoholic liver disease. International journal of hepatology 2012;2012:853175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.McGlynn KA, Petrick JL, London WT. Global epidemiology of hepatocellular carcinoma: an emphasis on demographic and regional variability. Clinics in liver disease 2015;19(2):223–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Makarova-Rusher OV, Altekruse SF, McNeel TS, et al. Population attributable fractions of risk factors for hepatocellular carcinoma in the United States. Cancer 2016;122(11):1757–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Guy J, Peters MG. Liver Disease in Women: The Influence of Gender on Epidemiology, Natural History, and Patient Outcomes. Gastroenterology & Hepatology 2013;9(10):633–9. [PMC free article] [PubMed] [Google Scholar]
- 14.Petrick JL, Braunlin M, Laversanne M, et al. International trends in liver cancer incidence, overall and by histologic subtype, 1978–2007. Int J Cancer 2016;139(7):1534–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bakiri L, Wagner EF. Mouse models for liver cancer. Mol Oncol 2013;7(2):206–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.London WT, Petrick JL, McGlynn KA. Liver Cancer In: Thun MJ, Linet MS, Cerhan JR, et al. , eds. Schottenfeld and Fraumeni Cancer Epidemiology and Prevention. New York, NY: Oxford University Press, 2018:p. 635–60. [Google Scholar]
- 17.Matsuo K, Gualtieri MR, Cahoon SS, et al. Surgical menopause and increased risk of nonalcoholic fatty liver disease in endometrial cancer. Menopause 2016;23(2):189–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Yu MW, Chang HC, Chang SC, et al. Role of reproductive factors in hepatocellular carcinoma: Impact on hepatitis B- and C-related risk. Hepatology 2003;38(6):1393–400. [DOI] [PubMed] [Google Scholar]
- 19.McGlynn KA, Sahasrabuddhe VV, Campbell PT, et al. Reproductive factors, exogenous hormone use and risk of liver cancer among U.S. women: Results from the Liver Cancer Pooling Project. British journal of cancer 2015;(In Press). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Vesselinovitch SD, Itze L, Mihailovich N, et al. Modifying role of partial hepatectomy and gonadectomy in ethylnitrosourea-induced hepatocarcinogenesis. Cancer Res 1980;40(5):1538–42. [PubMed] [Google Scholar]
- 21.Nakatani T, Roy G, Fujimoto N, et al. Sex hormone dependency of diethylnitrosamine-induced liver tumors in mice and chemoprevention by leuprorelin. Jpn J Cancer Res 2001;92(3):249–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kamada Y, Kiso S, Yoshida Y, et al. Estrogen deficiency worsens steatohepatitis in mice fed high-fat and high-cholesterol diet. Am J Physiol Gastrointest Liver Physiol 2011;301(6):G1031–43. [DOI] [PubMed] [Google Scholar]
- 23.Kireev RA, Tresguerres AC, Garcia C, et al. Hormonal regulation of pro-inflammatory and lipid peroxidation processes in liver of old ovariectomized female rats. Biogerontology 2010;11(2):229–43. [DOI] [PubMed] [Google Scholar]
- 24.Clark JM, Brancati FL, Diehl AM. Nonalcoholic fatty liver disease. Gastroenterology 2002;122(6):1649–57. [DOI] [PubMed] [Google Scholar]
- 25.McGlynn KA, Hagberg K, Chen J, et al. Menopausal hormone therapy use and risk of primary liver cancer in the clinical practice research datalink. Int J Cancer 2016;138(9):2146–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fernandez E, Gallus S, Bosetti C, et al. Hormone replacement therapy and cancer risk: a systematic analysis from a network of case-control studies. Int J Cancer 2003;105(3):408–12. [DOI] [PubMed] [Google Scholar]
- 27.Persson I, Yuen J, Bergkvist L, et al. Cancer incidence and mortality in women receiving estrogen and estrogen-progestin replacement therapy--long-term follow-up of a Swedish cohort. Int J Cancer 1996;67(3):327–32. [DOI] [PubMed] [Google Scholar]
- 28.Herrett E, Gallagher AM, Bhaskaran K, et al. Data Resource Profile: Clinical Practice Research Datalink (CPRD). Int J Epidemiol 2015;44(3):827–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lawson DH, Sherman V, Hollowell J. The General Practice Research Database. Scientific and Ethical Advisory Group. QJM : monthly journal of the Association of Physicians 1998;91(6):445–52. [DOI] [PubMed] [Google Scholar]
- 30.Jick H, Jick SS, Derby LE. Validation of information recorded on general practitioner based computerised data resource in the United Kingdom. BMJ 1991;302(6779):766–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Jick SS, Kaye JA, Vasilakis-Scaramozza C, et al. Validity of the general practice research database. Pharmacotherapy 2003;23(5):686–9. [DOI] [PubMed] [Google Scholar]
- 32.Margulis AV, Fortuny J, Kaye JA, et al. Validation of Cancer Cases Using Primary Care, Cancer Registry, and Hospitalization Data in the UK. Epidemiology 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Hosmer DW, Lemeshow S. Confidence interval estimation of interaction. Epidemiology 1992;3(5):452–6. [DOI] [PubMed] [Google Scholar]
- 34.Mytton J, Evison F, Chilton PJ, et al. Removal of all ovarian tissue versus conserving ovarian tissue at time of hysterectomy in premenopausal patients with benign disease: study using routine data and data linkage. BMJ 2017;356:j372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Parker WH. Ovarian conservation versus bilateral oophorectomy at the time of hysterectomy for benign disease. Menopause 2014;21(2):192–4. [DOI] [PubMed] [Google Scholar]
- 36.Parker WH, Feskanich D, Broder MS, et al. Long-Term Mortality Associated With Oophorectomy Compared With Ovarian Conservation in the Nurses’ Health Study. Obstetrics & Gynecology 2013;121(4):709–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Rivera CM, Grossardt BR, Rhodes DJ, et al. Increased cardiovascular mortality after early bilateral oophorectomy. Menopause 2009;16(1):15–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Francque SM, van der Graaff D, Kwanten WJ. Non-alcoholic fatty liver disease and cardiovascular risk: Pathophysiological mechanisms and implications. Journal of hepatology 2016;65(2):425–43. [DOI] [PubMed] [Google Scholar]
- 39.Ngo Sock ET, Cote I, Mentor JS, et al. Ovariectomy stimulates hepatic fat and cholesterol accumulation in high-fat diet-fed rats. Horm Metab Res 2013;45(4):283–90. [DOI] [PubMed] [Google Scholar]
- 40.Goldfarb S, Pugh TD. Ovariectomy accelerates the growth of microscopic hepatocellular neoplasms in the mouse: possible association with whole body growth and fat deposition. Cancer Res 1990;50(21):6779–82. [PubMed] [Google Scholar]
- 41.Phipps AI, Buist DS. Validation of self-reported history of hysterectomy and oophorectomy among women in an integrated group practice setting. Menopause 2009;16(3):576–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kanaya AM, Herrington D, Vittinghoff E, et al. Glycemic effects of postmenopausal hormone therapy: The heart and estrogen/progestin replacement study: a randomized, double-blind, placebo-controlled trial. Annals of Internal Medicine 2003;138(1):1–9. [DOI] [PubMed] [Google Scholar]
- 43.McKenzie J, Fisher BM, Jaap AJ, et al. Effects of HRT on liver enzyme levels in women with type 2 diabetes: a randomized placebo-controlled trial. Clinical Endocrinology 2006;65(1):40–4. [DOI] [PubMed] [Google Scholar]
- 44.Sites CK, L’Hommedieu GD, Toth MJ, et al. The effect of hormone replacement therapy on body composition, body fat distribution, and insulin sensitivity in menopausal women: a randomized, double-blind, placebo-controlled trial. J Clin Endocrinol Metab 2005;90(5):2701–7. [DOI] [PubMed] [Google Scholar]
- 45.Zhong GC, Liu Y, Chen N, et al. Reproductive factors, menopausal hormone therapies and primary liver cancer risk: a systematic review and dose-response meta-analysis of observational studies. Hum Reprod Update 2016;23(1):126–38. [DOI] [PubMed] [Google Scholar]
- 46.Tavani A, Negri E, Parazzini F, et al. Female hormone utilisation and risk of hepatocellular carcinoma. Br J Cancer 1993;67(3):635–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Yu MC, Tong MJ, Govindarajan S, et al. Nonviral risk factors for hepatocellular carcinoma in a low-risk population, the non-Asians of Los Angeles County, California. Journal of the National Cancer Institute 1991;83(24):1820–6. [DOI] [PubMed] [Google Scholar]
- 48.Makrilia N, Syrigou E, Kaklamanos I, et al. Hypersensitivity reactions associated with platinum antineoplastic agents: a systematic review. Met Based Drugs 2010;2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Yates FE, Herbst AL, Urquhart J. Sex difference in rate of ring A reduction of delta 4–3-keto-steroids in vitro by rat liver. Endocrinology 1958;63(6):887–902. [DOI] [PubMed] [Google Scholar]
- 50.Li Z, Tuteja G, Schug J, et al. Foxa1 and Foxa2 are essential for sexual dimorphism in liver cancer. Cell 2012;148(1–2):72–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Simeone JC, Bae JP, Hoogwerf BJ, et al. Clinical course of nonalcoholic fatty liver disease: an assessment of severity, progression, and outcomes. Clin Epidemiol 2017;9:679–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008. [Google Scholar]
- 53.Efird LM, Miller DR, Ash AS, et al. Identifying the risks of anticoagulation in patients with substance abuse. J Gen Intern Med 2013;28(10):1333–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Petrick JL, Campbell PT, Koshiol J, et al. Tobacco, alcohol use and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma: The Liver Cancer Pooling Project. Br J Cancer 2018;118(7):1005–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
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