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Hormone replacement therapy is associated with reduced hepatocellular carcinoma risk and improved survival in postmenopausal women with hepatitis B: A nationwide long-term population-based cohort study

  • Chun-Hsiang Wang,

    Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

    Affiliations Department of Hepatogastroenterology, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan, Taiwan, Department of Optometry, Chung Hwa Medical University, Tainan, Taiwan

  • Ruey-Chang Lin ,

    Contributed equally to this work with: Ruey-Chang Lin, Hua-Yin Hsu

    Roles Data curation, Funding acquisition, Investigation, Writing – review & editing

    Affiliation Department of Hepatogastroenterology, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan, Taiwan

  • Hua-Yin Hsu ,

    Contributed equally to this work with: Ruey-Chang Lin, Hua-Yin Hsu

    Roles Resources, Software, Writing – review & editing

    Affiliation Departments of Nursing, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan City, Taiwan

  • Yuan-Tsung Tseng

    Roles Data curation, Methodology, Writing – review & editing

    b891040733@yahoo.com.tw

    Affiliation Committee of Medical Research, Tainan Municipal Hospital (Managed by Show Chwan Medical Care Corporation), Tainan, Taiwan

Abstract

Postmenopausal women with hepatitis B virus (HBV) infection are more likely to have accelerated liver fibrosis, eventually advancing to liver cirrhosis or hepatocellular carcinoma (HCC). The association between sex hormones and HBV-related HCC risk is unclear. We investigated whether hormone replacement therapy (HRT) is beneficial to postmenopausal women with HBV infection. This retrospective study selected the data of 44,465patients with HBV infection between January 2000 and December 2018 from Taiwan’s National Health Insurance Research Database. After excluding patients with preexisting liver diseases, liver cirrhosis, or liver malignancies, we grouped the remaining 10,474 patients by whether they had undergone HRT for at least 3 months (n = 5,638) and whether they had not received HRT (n = 4,836). After propensity score matching, we assigned 3080 patients to an HRT cohort and matched them (1:1) with those in a non-HRT cohort. The incidence of HCC (P < 0.022) and all-cause mortality rate (P < 0.001) were lower in the HRT cohort than in the non-HRT cohort. The liver cirrhosis risk was not significantly higher in the HRT cohort (P = 0.355). HRT is associated with reduced HCC risk and improved survival outcomes but is unrelated to liver cirrhosis development in postmenopausal women.

Introduction

Although the prevalence of hepatocellular carcinoma (HCC) varies worldwide, a sex disparity can be observed in its causes [1] and incidence [2, 3]. The male-to-female ratio of patients with a grave prognosis of HCC is 3:1, and such HCC cases are commonly linked to certain types of chronic viral hepatitis, particularly hepatitis B virus (HBV) [4, 5]. The incidence of HBV-associated HCC tends to be higher in men and postmenopausal women than in other women [68]. Because patients with HCC are predominantly men, sex hormones may influence the development of HCC and its prognosis. The protective effect of sex hormones against HCC development has been addressed by many experts [9, 10]. Hassan et al. conducted a case–control study and demonstrated that estrogen use was associated with a reduced risk of HCC and increased overall survival times in patients with HCC [10]. Evidence regarding the benefits of sex hormone use in menopausal women with HBV infection is contradictory. In addition, few detailed observational studies with large sample sizes have been conducted on this question. Accordingly, we conducted the present large-scale long-term population-based study to identify the effects of hormone replacement therapy (HRT) on the development of liver cirrhosis and HCC and on all-cause mortality in postmenopausal women with chronic HBV infection.

Materials and methods

Data source

Using the Taiwan National Health Insurance Research Database (NHIRD), we organized and performed a nested case–control cohort study. Taiwan’s National Health Insurance (NHI) is a universal health insurance program that is compulsory by law, has operated since 1995, and provides comprehensive medical coverage to the 23 million residents of Taiwan. The NHIRD is a database of insurance claims for services performed within the NHI system.

Patient information in the database includes medical history, personal data, medications, surgical intervention history, and patient conditions identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. The NHIRD protects personal electronic data with strict confidentiality guidelines. The data used in the study are available from the NHIRD for researchers who meet the criteria for access to confidential data, but they cannot be shared publicly because of legal restrictions imposed by the government of Taiwan in relation to the “Personal Information Protection Act.” Requests for data can be sent as a formal proposal to the NHIRD (https://dep.mohw.gov.tw/dos/np-2497-113.html). The study protocol was approved by the Research Ethics Committee of Show Chwan Memorial Hospital (IRB-No: 1080703), and the informed consent requirement was waived because the datasets in the NHIRD have no identifiable personal information.

Identification of patients

We organized claims from 2 million Taiwan residents with longitudinal follow-up from January 1, 2000, to December 31, 2018. Women aged 35 years or over were enrolled because the onset of HCC among women usually occurs after the age of 35 years.

Inclusion and exclusion criteria

Patients who were older than 35 years and had a diagnosis of HBV (ICD-9-CM codes: 070.2x, 070.3x, and V02.61; ICD-10-CM code: B18.1) were eligible for inclusion in the study. We excluded patients with alcoholic liver disease (ICD-9-CM codes: 291, 303.0, 303.9, 305.0, 571.0, 571.2, and 571.3; ICD-10-CM code: K70.x), any history of malignancy (ICD-9-CM codes: 140–208, 230–231, and 233–234; ICD-10-CM codes: C00–C95, D00–D02, D05–D09), HCC (ICD-9-CM code: 155.0; ICD-10-CM code:C22.0), human immunodeficiency virus coinfection (ICD-9-CM codes: 042, 044, and V08; ICD-10-CM code: B20), liver cirrhosis (ICD-9-CM code: 571.5; ICD-10-CM code: K74.6), acute or subacute necrosis of the liver (ICD-9-CM code: 570; ICD-10-CM code: K72.0), esophageal varices (ICD-9-CM code: 456.2; ICD-10-CM code: I85.01), ascites (ICD-9-CM code: 789.5; ICD-10-CM code: R18), hepatic encephalopathy (ICD-9-CM code: 572.2; ICD-10-CM code: K72), hepatopulmonary syndrome (ICD-9-CM code: 573.5; ICD-10-CM code: K76.81), hepatorenal syndrome (ICD-9-CM code: 572.4; ICD-10-CM code: K76.7), spontaneous bacterial peritonitis (ICD-9-CM code: 567.23; ICD-10-CM code: K65.2), coagulation disorders (ICD-9-CM code: 286; ICD-10-CM code: D68.9), hepatitis A virus infection (ICD-9-CM code: 070.1; ICD-10-CM code: B15.9), hepatitis C virus infection (ICD-9-CM code: 070.54; ICD-10-CM code: B18.2), hepatitis D virus infection (ICD-9-CM code: 070.52; ICD-10-CM code: B17.0), hepatitis E virus infection (ICD-9-CM code: 070.53; ICD-10-CM code: B17.2), or autoimmune hepatitis (ICD-9-CM code: 571.42; ICD-10-CM code: K75.4).

Hormone exposure

The prescriptions for HRT were estrogens (conjugated estrogen and estradiol), progestins (progesterone, norethindrone, cyproterone, ethisterone, medroxyprogesterone, and norgestrel), and ovulation stimulators (clomiphene).We calculated the total dispensed days for each HRT prescription during the follow-up period as an indicator of the duration of hormone exposure. The patients were assigned to an HRT cohort or a non-HRT cohort. Specifically, patients with HBV who were prescribed HRT for ≥ 90 days were assigned to the HRT cohort. Patients with HBV who had never used hormones were assigned to the non-HRT cohort. The index date for each hormone user was defined as the date of their first hormone prescription. All hormone nonusers were assigned the same date as an index date. Patients who had a hormone prescription before being diagnosed with chronic HBV infection were excluded from the study. To examine the dose–effect relationship, we divided the HRT cohort into three subgroups on the basis of hormone use duration (<12, 12–36, and >36 months).

Propensity score matching

We used a propensity score matching (PSM) design to sufficiently reduce confounding variables between the HRT and non-HRT cohorts. A logistic regression model was used for propensity score calculation; the covariates used in the model were age, hypertensive cardiovascular disease (HCD), hyperlipidemia, diabetes mellitus (DM), chronic kidney disease (CKD), Charlson comorbidity index (CCI), and medication use (aspirin, statins, angiotensin converting enzyme inhibitors (ACEi), β-blockers, and antiviral treatments). The calculated propensity score was then used to identify a unique patient in the non-HRT cohort whose score was closest to that of each patient in the HRT cohort (1:1 matching). A flowchart of HBV patient recognition and matching is presented in Fig 1.

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Fig 1. Flowchart of patient enrollment.

HBV, hepatitis B virus; HRT, hormone replacement therapy; HCD, hypertensive cardiovascular disease; DM, diabetes mellitus; CKD, chronic kidney disease; CCI, Charlson comorbidity index; ACEi, angiotensin-converting enzyme inhibitors.

https://doi.org/10.1371/journal.pone.0271790.g001

Potential confounders

To adjust for comorbidities, we searched the NHIRD for age, HCD, hyperlipidemia, DM, CKD, and CCI. The baseline characteristics (age, comorbidities, and medication history) and treatment protocol of the cohorts were recorded. The CCI is a system for the classification of disease severity by using a claims-based algorithm to estimate weighted morbidity. We also searched for diseases and medications that might affect the outcomes (i.e., liver cirrhosis, HCC, and mortality). Medications considered included antiviral medications (pegylated-interferon-alfa-2a, entecavir, tenofovir disoproxil fumarate, tenofovir alafenamide, lamivudine, adefovir, and telbivudine), aspirin, statins, ACEi, and β-blockers.

Study outcomes

The primary outcomes considered were the development of HCC, the development of liver cirrhosis, and death. To avoid potential immortal time bias, outcomes were assessed after a 90-day period of hormone exposure. All patients were followed up from the index date until the date of diagnosis of HCC or cirrhosis, the date of death (obtained from the NHIRD), or the end of 2018. We used 90 days as the washout period to minimize the influence of other factors in patients with newly diagnosed outcomes at the endpoint.

Statistical analysis

We conducted between-group comparisons by using the paired t-test for continuous variables and McNemar’s test for categorical variables. Cox regression analysis with covariates was used to estimate the relationship and the risk of cirrhosis, all-cause mortality, and HCC development between the HRT and non-HRT cohorts. We performed the same analysis in the subgroups with different comorbidities of chronic HBV infection (e.g., DM, HCD, and hyperlipidemia). The hazard ratios (HRs) and 95% confidence intervals (CIs) for the outcomes were measured for the HRT cohort and compared with those derived for the non-HRT cohort after adjustment for covariables. The Kaplan–Meier method was used to estimate the outcomes of the different study cohorts. The differences between the curves were examined through a log-rank test. Baseline characteristics were matched by PSM to reduce potential selection bias. PSM was performed using multivariate logistic regression analysis and nearest neighbor matching with the R package “MatchIt” (version 3.4.2). The cumulative probability of competing risks was adjusted using the R package “cmprsk” (version 3.4.2). All data management procedures were performed using SPSS 21.0 (SPSS Inc., Chicago, IL, USA). Statistical significance was set at P < 0.05.

Results

We identified a total of 44,465 patients with chronic HBV infection. After applying the exclusion criteria and PSM, we included 6160 patients divided evenly between the HRT cohort, which comprised patients who received HRT for ≥ 90 days (n = 3080) and the non-HRT cohort, which comprised patients who did not receive HRT (n = 3080). The demographic characteristics of the two cohorts after matching are presented in Table 1. The mean follow-up periods from the index date were 15.1 ± 4.1 and 15.0 ± 4.1 years for the HRT and non-HRT cohorts, respectively (P = 0.310).

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Table 1. Characteristics of patients in the Hormone Replacement Therapy (HRT) Cohort and the non-HRT cohort after matching.

https://doi.org/10.1371/journal.pone.0271790.t001

The CCI scores were fully matched between the HRT and non-HRT cohorts (HRT vs. non-HRT, mean: 5.1±2.2; P = 1.000). Compared with the non-HRT cohort, the HRT cohort showed a significantly lower prevalence of HCC (0.6% vs. 1.2%; P = 0.022) and rate of all-cause mortality (2.3% vs. 4.6%; P < 0.001) but not liver cirrhosis (2.6% vs. 3.0%; P = 0.355) (Table 2). With regard to HCC occurrence, the 18-year cumulative incidences was significantly lower in HRT as compared with non-HRT cohort (P = 0.014) (Fig 2), The chance of survival was significantly higher in the HRT than in the non-HRT cohort (P < 0.001) (Fig 3).

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Fig 2. Cumulative incidence of hepatocellular carcinoma between the HRT and non-HRT cohorts.

HRT, hormone replacement therapy; HCC, hepatocellular carcinoma.

https://doi.org/10.1371/journal.pone.0271790.g002

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Fig 3. Survival curves of all-cause mortality in the HRT and non-HRT cohorts.

HRT, hormone replacement therapy.

https://doi.org/10.1371/journal.pone.0271790.g003

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Table 2. Outcomes of patients in the Hormone Replacement Therapy (HRT) and non-HRT cohorts.

https://doi.org/10.1371/journal.pone.0271790.t002

Furthermore, multivariate analysis revealed that the HRT cohort had a significantly lower risk of HCC (adjusted HR, 0.50; 95% CI, 0.29–0.87) and all-cause mortality (adjusted HR, 0.49; 95% CI, 0.37–0.65) but not liver cirrhosis (adjusted HR, 0.82; 95% CI, 0.60–1.10) (Table 3).

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Table 3. Adjusted hazard ratios for the risk of cirrhosis, all-cause mortality, and Hepatocellular Carcinoma (HCC) in the Hormone Replacement Therapy (HRT) cohort after Cox regression analysis.

https://doi.org/10.1371/journal.pone.0271790.t003

We stratified the participants into three groups based on exposure duration to determine the associations between HRT and the risks of liver cirrhosis, HCC, and all-cause mortality. For the liver cirrhosis, HCC, and all-cause mortality risks, the adjusted HRs (95% CIs) for HRT of <12, 12–36, and >36 months versus non-HRT were as follows: 1.04 (0.71–1.50), 0.69 (0.42–1.14), and 0.63 (0.38–1.04), respectively; 0.57 (0.28–1.19), 0.36 (0.13–0.99), and 0.54 (0.22–1.28), respectively; and 0.65 (0.41–0.83), 0.51 (0.31–0.73), and 0.25 (0.15–0.45), respectively. P was <0.042 for HCC with hormone use duration between 12 and 36 months. In all-cause mortality, P was 0.02 with hormone use duration < 12 months, 0.004 with hormone use duration between 12 and 36 months, and < 0.001 with hormone use duration > 36 months (Table 3).

Discussion

In our 18-year follow-up, population-based PSM study, we discovered that HRT may lower the risk of HCC among postmenopausal women with chronic HBV infection; however, HRT had no significant effect on the risk of cirrhosis. Nonetheless, HRT was associated with significantly lower all-cause mortality in postmenopausal women with HBV.

Menopause is a process in which ovarian follicle loss [11] causes changes in hormone levels over time, eventually leading to menopausal transition [12, 13]. After that, it shifts to the postmenopausal period, in which the incidence of HBV-related HCC was reported to increase according to multiple epidemiological studies [14, 15]

In recent years, several reports regarding sex-dependent outcomes in chronic hepatitis B infection had been published. Baig stated an influence of estrogen in the protection and defense of hepatic cells against the development of chronic liver disease [16]. Wang et al. reported that the androgen pathway can increase the transcription of HBV through direct binding to the androgen-responsive element sites in viral enhancer I. This may explain a higher HBV titer in male carriers and an increased risk of HCC [17]. Maria et al. identified an ER variant in postmenopausal women and men with HCC [18]. In addition, Almog et al. discovered that estrogen signals reduced the level of HBV mRNA in immunocompromised male mice that received transplants of HBV-transfected HepG-2 cells [19]. In agreement with these findings, Naugler et al. [19] demonstrated that estrogen signals suppressing Kupffer cell IL-6 production may play an essential role in protecting against the progression of HCC in women.

Estrogen may play a pathogenetic role in reducing HCC risk due to its anti-inflammatory effects and the relationship of HCC with inflammation [20]. However, Kalaitzidis et al. [21] reported that estrogen may increase hepatocyte proliferation. Furthermore, studies of male HCC tumors and postmenopausal women have reported no protective anti-inflammatory effect induced by estrogen signals [2224].

HBV-associated HCC has been reported to be higher in men and postmenopausal women than in other women [68]. A previous study. revealed that sex hormones such as androgen and estrogen play different roles in the progression of HBV infection and in the development of HBV-related HCC [25]. Serum estrogen levels, which increase in pregnant women, were also reported to exert a protective effect against HCC [26]. The estrogen pathway protects against the progression of HBV infections and the development of HBV-associated HCC [27]. Wang et al. demonstrated that women with HBV have a lower risk of HCC when using oral contraceptives or HRT after menopause [28].

McGlynn et al. conducted a pooled analysis of data from 11 prospective US studies and revealed that oophorectomy significantly increased the risk of HCC [29]; the increased HCC risk with bilateral oophorectomy might be related not only to a decrease in estrogen levels but also to altered lipid levels [30]. Bilateral oophorectomy was also observed to increase hepatic androgen receptors in rodents [31]. On the basis of these findings, surgical menopause appears to be positively correlated with HCC development in women. Therefore, HRT might be beneficial to either surgically or naturally menopausal women with chronic HBV infection, who might be at risk of HCC after the cessation of menstruation.

More robust evidence is available regarding the role of HRT in suppressing HCC. Estrogen has been observed to exert protective effects against HCC development through interleukin 6 (IL-6) suppression, signal transducer and activator of transcription-3 (STAT3) inactivation, and tumor-associated macrophage inhibition [3235]. Previous studies have also reported that HCC is an inflammation-related cancer [20, 36] and that IL-6-dependent STAT3 activation is a critical instigator of inflammation-induced liver cancer [3639].

To control for confounding factors in our analyses, we measured and collected data on all known confounding factors, such as the identified comorbidities. We performed PSM to reduce or eliminate selection bias by balancing covariates between the HRT and non-HRT cohorts. Balancing covariates facilitates the task of matching participants with multiple characteristics. This strategy diminishes bias and improves the reliability of statistical inferences. Accordingly, our study was able to more precisely explore the role of HRT in postmenopausal HBV-infected women. Our results demonstrate that HRT during adulthood, regardless of the occurrence of menopause, may protect against the occurrence of HCC and reduce all-cause mortality. HRT significantly reduced the risk of HBV-associated HCC when HRT was used for 12–36 months in postmenopausal women; however, HRT use for >36 months and early hormone exposure did not protect against HCC. In premenopausal women, HRT exposure at an early age may influence the replication activity of HBV due to the early onset of menarche. This could then lead to hepatic lesions, chronic hepatitis, or mortality [40]. Our findings are consistent with those of Yu et al. [26], who demonstrated that the risk of HCC was lower among users of HRT than among nonusers and that the risk of HCC decreased linearly as the duration of HRT use increased. The strength of our study relative to that of Yu et al. is that we used PSM to control for biases; thus, the HRT and non-HRT groups were comparable with respect to the control variables. Moreover, we used a large-scale population-based study design, further increasing statistical power in investigating the association between HRT and the risk of HCC in postmenopausal women with chronic HBV infection. Although the >36-month group had a weaker response to HCC, we observed an association between HRT use and reduced HCC risk for treatment durations of between 1 and 3 years. The available data suggest improved survival regardless of the length of HRT treatment for postmenopausal women. A possible explanation for these observations is that multiple mechanisms underlie the effects of various synthetic estrogen treatments on hepatocarcinogenesis in some animal models [41, 42].

However, the study has limitations. First, we used a retrospective cohort design. Although we matched all identified confounding factors between the study cohorts, selection and observational bias still exists. However, because the NHIRD is a large and well-validated database, this bias was controlled sufficiently to demonstrate a clinically useful result. Second, although the NHIRD data used in our study were not the most recent available data, the analysis results obtained from this large-scale long-term cohort study are still convincing. Third, the NHIRD lacks specific laboratory information. Fourth, the ICD-9-CM codes could not be used to identify several comorbidities (e.g., fatty liver disease, nonalcoholic steatohepatitis, and nonalcoholic fatty liver disease). Fifth, the limitations of the NHIRD prevented clear identification of the causes of death; therefore, we could not compare the risks of HCC-related death in the patients with HBV. Nonetheless, these limitations do not affect the conclusions of this study. We thus recommend larger-scale prospective studies to further confirm the validity of our findings.

Conclusions

In conclusion, we identified a chemoprotective effect of HRT against HCC in postmenopausal women with chronic HBV infection who received HRT for at least 1 year but not more than 3 years. All-cause mortality was also lower after the initiation of HRT. Although HRT is an adjuvant therapy, its effectiveness should be validated before its recommendation for general use in postmenopausal women with chronic HBV.

References

  1. 1. Hassan MM, Kaseb A, Li D, Patt AZ, Vauthey JN, Thomas MB, et al. Association between hypothyroidism and hepatocellular carcinoma: a case control study in the United States. Hepatology. 2009;49(5):1563–1570. pmid:19399911
  2. 2. El-Serag HB. Hepatocellular carcinoma: recent trends in the United States. Gastroenterology. 2004;127(5 Suppl 1):S27–S34. pmid:15508094
  3. 3. White DL, Thrift AP, Kanwal F, Davila J, El-Serag HB. Incidence of hepatocellular carcinoma in all 50 United States, from 2000 through 2012. Gastroenterology. 2017;152(4):812–820. pmid:27889576
  4. 4. Ffirminger HI, Reuber MD. Influence of adrenocortical, androgenic, and anabolic hormones on the development of carcinoma and cirrhosis of the liver in A x C rats fed N-2-fluorenyldicetamide. J Natl Cancer Inst. 1961; 27:559–595. pmid:13699763
  5. 5. Moriya K, Fujie H, Shintani Y, Yotsuyanagi H, Tsutsumi T, Ishibashi K, et al. The core protein of hepatitis C virus induces hepatocellular carcinoma in transgenic mice. Nat Med. 1998;4(9):1065–1067. pmid:9734402
  6. 6. Wang Y, Cheng J, Xu C, Liu S, Jiang S, Xu Q, et al. Quantitative methylation analysis reveals gender and age differences in p16INK4a hypermethylation in hepatitis B virus-related hepatocellular carcinoma. Liver Int. 2012;32(3):420–428. pmid:22192146
  7. 7. Zhu ZZ, Wang D, Cong WM, Jiang H, Yu Y, Wen BJ, et al. Sex-related differences in DNA copy number alterations in hepatitis B virus-associated hepatocellular carcinoma. Asian Pac J Cancer Prev. 2012;13(1):225–229. pmid:22502674
  8. 8. Ruggieri A, Barbati C, Malorni W. Cellular and molecular mechanisms involved in hepatocellular carcinoma gender disparity. Int J Cancer. 2010;127(3):499–504. pmid:20201099
  9. 9. Nagasue N, Ito A, Yukaya H, Ogawa Y, Ito A. Estrogen receptors in hepatocellular carcinoma. Cancer. 1986;57(1):87–91. pmid:3000573
  10. 10. Hassan MM, Botrus G, Abdel-Wahab R, Wolff RA, Li D, Tweardy D, et al. Estrogen replacement reduces risk and increases survival times of women with hepatocellular carcinoma. Clin Gastroenterol Hepatol. 2017;15(11):1791–1799. pmid:28579181
  11. 11. Nanette S. Reproductive hormones and the menopause transition. Obstet Gynecol Clin North Am. 2011;38(3):455–466. pmid:21961713
  12. 12. Faddy MJ, Gosden RG, Gougeon A, Richardson SJ, Nelson JF. Accelerated disappearance of ovarian follicles in midlife: implications for forecasting menopause. Hum Reprod. 1992;7(10):1342–1346. pmid:1291557
  13. 13. Richardson SJ, Senikas V, Nelson JF. Follicular depletion during the menopausal transition: evidence for accelerated loss and ultimate exhaustion. J Clin Endocrinol Metab. 1987;65(6):1231–1237. pmid:3119654
  14. 14. Meldrum DR, Tataryn IV, Frumar AM, Erlik Y, Lu KH, Judd HL. Gonadotropins, estrogen, and adrenal steroids during the menopausal hot flash. J Clin Endocrinol Metab. 1980;50(4):685–689. pmid:6444954
  15. 15. Quigley MM, Hammond CB. Estrogen-replacement therapy-help or hazard? N Engl J Med. 1979;301(12):646–648. pmid:471002
  16. 16. Baig S. Gender disparity in infections of hepatitis B virus. Journal of the College of Physicians and Surgeons—Pakistan. 2009;19(9):598–600. [PubMed] [Google Scholar] pmid:19728952
  17. 17. Wang S.-H., Yeh S.-H., Lin W.-H., Wang H.-Y., Chen D.-S., Chen P.-J. Identification of androgen response elements in the enhancer I of hepatitis B virus: a mechanism for sex disparity in chronic hepatitis B. Hepatology. 2009;50(5):1392–1402. [PubMed] [CrossRef] [Google Scholar] pmid:19670412
  18. 18. Maria N. D., Manno M., Villa E. Sex hormones and liver cancer. Molecular and Cellular Endocrinology. 2002;193(1–2):59–63. [PubMed] [CrossRef] [Google Scholar] pmid:12161002
  19. 19. Almog Y., Klein A., Adler R., Laub O., Tur-Kaspa R. Estrogen suppresses hepatitis B virus expression in male athymic mice transplanted with HBV transfected Hep G-2 cells. Antiviral Research. 1992;19(4):285–293. [PubMed] [CrossRef] [Google Scholar] pmid:1463321
  20. 20. Berasain C, Perugorria MJ, Latasa MU, Castillo J, Goni S, Santamaria M, et al: The epidermal growth factor receptor: a link between inflammation and liver cancer. Exp Biol Med (Maywood). 2009, 234: 713–725. pmid:19429859
  21. 21. Kalaitzidis D, Gilmore TD: Transcription factor cross-talk: the estrogen receptor and NF-kappaB. Trends Endocrinol Metab. 2005, 16: 46–52. pmid:15734144
  22. 22. Jiang R., Deng L., Zhao L., et al. miR-22 promotes HBV-related hepatocellular carcinoma development in males. Clinical Cancer Research. 2011;17(17):5593–5603. [PubMed] [CrossRef] [Google Scholar] pmid:21750200
  23. 23. Wong V. W.-S., Yu J., Cheng A. S.-L., et al. High serum interleukin-6 level predicts future hepatocellular carcinoma development in patients with chronic hepatitis B. International Journal of Cancer. 2009;124(12):2766–2770. [PubMed] [CrossRef] [Google Scholar] pmid:19267406
  24. 24. Kalra M, Mayes J, Assefa S, Kaul AK, Kaul R: Role of sex steroid receptors in pathobiology of hepatocellular carcinoma. World J Gastroenterol. 2008, 14: 5945–5961. pmid:18932272
  25. 25. Humphries C. Sex differences: luck of the chromosomes. Nature. 2014;516(7529):S10–S11. pmid:25470193
  26. 26. Yu MW, Chang HC, Chang SC, Liaw YF, Lin SM, Liu CJ, et al. Role of reproductive factors in hepatocellular carcinoma: impact on hepatitis B- and C-related risk. Hepatology. 2003;38(6):1393–1400. pmid:14647050
  27. 27. Wang SH, Yeh SH, Lin WH, Wang HY, Chen DS, Chen PJ. Identification of androgen response elements in the enhancer I of hepatitis B virus: a mechanism for sex disparity in chronic hepatitis B. Hepatology. 2009;50(5):1392–1402. pmid:19670412
  28. 28. Wang SH, Yeh SH, Lin WH, Yeh KH, Yuan Q, Xia NS, et al. Estrogen receptor α represses transcription of HBV genes via interaction with hepatocyte nuclear factor 4α. Gastroenterology. 2012;142(4):989–998. pmid:22240483
  29. 29. McGlynn KA, Sahasrabuddhe VV, Campbell PT, Graubard BI, Chen J, Schwartz LM, et al. Reproductive factors, exogenous hormone use and risk of hepatocellular carcinoma among US women: results from the Liver Cancer Pooling Project. Br J Cancer. 2015;112(7):1266–1272. pmid:25742475
  30. 30. Lobo RA. Surgical menopause and cardiovascular risks. Menopause. 2007;14(3):562–566. pmid:17476145
  31. 31. Tejura S, Rodgers GR, Dunion MH, Parsons MA, Underwood JC, Ingleton PM. Sex-steroid receptors in the diethylnitrosamine model of hepatocarcinogenesis: modifications by gonadal ablation and steroid replacement therapy. J Mol Endocrinol. 1989;3(3):229–237. pmid:2590384
  32. 32. Prieto J. Inflammation, HCC and sex: IL-6 in the centre of the triangle. J Hepatol. 2008;48(2):380–381. pmid:18093689
  33. 33. Nakagawa H, Maeda S, Yoshida H, Tateishi R, Masuzaki R, Ohki T, et al. Serum IL-6 levels and the risk for hepatocarcinogenesis in chronic hepatitis C patients: an analysis based on gender differences. Int J Cancer. 2009;125(10):2264–2269. pmid:19585572
  34. 34. Wong VW, Yu J, Cheng AS, Wong GL, Chan HY, Chu ES, et al. High serum interleukin-6 level predicts future hepatocellular carcinoma development in patients with chronic hepatitis B. Int J Cancer. 2009;124(12):2766–2770. pmid:19267406
  35. 35. Hsia CY, Huo TI, Chiang SY, Lu MF, Sun CL, Wu JC, et al. Evaluation of interleukin-6, interleukin-10 and human hepatocyte growth factor as tumor markers for hepatocellular carcinoma. Eur J Surg Oncol. 2007;33(3):208–212. pmid:17140760
  36. 36. Sica A, Allavena P, Mantovani A. Cancer related inflammation: the macrophage connection. Cancer Lett. 2008;267(2):204–215. pmid:18448242
  37. 37. Calvisi DF. Dr. Jekyll and Mr. Hyde: a paradoxical oncogenic and tumor suppressive role of signal transducer and activator of transcription 3 in liver cancer. Hepatology. 2011;54(1):9–12. pmid:21608001
  38. 38. He G, Karin M. NF-kappaB and STAT3—key players in liver inflammation and cancer. Cell Res. 2011;21(1):159–168. pmid:21187858
  39. 39. Calvisi DF, Ladu S, Gorden A, Farina M, Conner EA, Lee JS, et al. Ubiquitous activation of Ras and Jak/Stat pathways in human HCC. Gastroenterology. 2006;130(4):1117–11128. pmid:16618406
  40. 40. Medina K. L., Strasser A., & Kincade P. W. (2000). Estrogen influences the differentiation, proliferation, and survival of early B-lineage precursors. Blood, The Journal of the American Society of Hematology, 95(6), 2059–2067. pmid:10706875
  41. 41. Mishkin SY, Farber E, Ho RK, Mulay S, Mishkin S. Evidence for the hormone dependency of hepatic hyperplastic nodules: inhibition of malignant transformation after exogenous 17_-estradiol and tamoxifen. Hepatology. 1983;3(3):308–316. pmid:6840677
  42. 42. Shimizu I, Yasuda M, Mizobuchi Y, Ma YR, Liu F, Shiba M, et al. Suppressive effect of estradiol on chemical hepatocarcinogenesis in rats. Gut. 1998;42(1):112–119. pmid:9505896