Abstract
Pregnancy has been associated with diagnosis or growth of meningiomas in several case reports, which has led to the hypothesis that pregnancy may be a risk factor for meningiomas. The aim of this study was to test this hypothesis in a large population-based cohort study. Women born in Sweden 1958–2000 (N = 2,204,126) were identified and matched with the Medical Birth Register and the Cancer Register. The expected number of meningioma cases and risk ratios were calculated for parous and nulliparous women and compared to the observed number of cases. Compared to parous women, meningiomas were more common among nulliparous (SIR = 1.73; 95% CI 1.52–1.95). The number of meningioma cases detected during pregnancy was lower than the expected (SIR = 0.40; 95% CI 0.20–0.72). Moreover, no increased risk was found in the first-year post-partum (SIR = 1.04; 95% CI 0.74–1.41). Contrary to our hypothesis, there was no increased risk for diagnosing a meningioma during pregnancy or 1-year post-partum. A lower detection rate during pregnancy, may reflect under-utilization of diagnostic procedures, but the actual number of meningiomas was homogenously lower among parous than nulliparous women throughout the study period, indicating that pregnancy is not a risk factor for meningioma.
Subject terms: Cancer epidemiology, CNS cancer
Introduction
Meningiomas are the largest group of primary intracranial and intraspinal tumors, comprising approximately one third of the tumors1,2. One key factor in meningioma epidemiology is the relation to sex since two thirds of the tumors occur in women, while the only other established risk factors for meningioma are increasing age, exposure to ionizing radiation, and some rare genetic syndromes. The incidence of meningioma has increased among fertile and menopausal women during the last 30 years while the incidence among men has been stationary3. Epidemiological studies on the association between meningiomas and exogenous sex-hormone treatment have shown conflicting results4–7. Post-menopausal hormone replacement therapy that exposes women to elevated levels of sex hormones increased the risk for developing a meningioma in several studies6,8–10, while others failed to find an association11–13. Recently, a French nationwide epidemiological study showed a strong correlation between hormone therapy with cyproterone acetate, a synthetic antiandrogen and progestagen, and a meningioma diagnosis14. Taken together, the sex distribution and empirical observations of biological and epidemiological associations between sex hormones and meningiomas warrant further exploration.
Traditional neurosurgical literature considered pregnancy to be associated with meningiomas15,16. Dramatic changes of progesterone, estradiol, testosterone and prolactin levels occur during pregnancy17. Progesterone, estrogen and their metabolites, increase during pregnancy and reach the highest levels in the third trimester. Progesterone increases approximately 6–8 times compared to a normal menstrual cycle, while estrogen rises 15–75 times compared to luteal phase and 60–300 times compared to the follicular phase in a normal menstrual cycle18. Pregnancy, with its extensive hormonal changes, could be a risk factor for meningioma development or growth given the epidemiological associations with hormone levels. Most meningiomas express receptors for progesterone but not estrogen19 and the hormonal effects depend on a balance between estrogen and progesterone20. Progesterone signaling is mitogenic in breast cancer21 and progesterone increases sensitivity of meningioma cells to mitogenic stimuli22. In agreement with this hypothesis, cases of rapid meningioma growth during pregnancy, sometimes even followed by spontaneous involution post-partum, have been described since meningiomas were first classified23–25. The evidence for an association between meningiomas and pregnancy has been anecdotal and epidemiological validation is scarce. Wigertz et al. found a correlation between the risk of a meningioma and three or more live births among women younger than 50 years, in a case-control study5, while other studies have been negative10,13.
In this population-based cohort study, the aim was to study the relation between giving birth and meningiomas in women during the fertile and reproductive years, specifically the risk of having a meningioma diagnosed during pregnancy and during the first 20 years postpartum, as well as the risk of meningioma among nulliparous women.
Materials and methods
All women born in Sweden between 1958 and 2000, were identified using the national population register (Population Register) held by the Swedish national statistical bureau (Statistics Sweden) (n = 2,204,126). To make the information about childbearing as accurate as possible, women who had once emigrated (n = 203,435; 9.2%) and those lost to follow-up (n = 296) were excluded. Women who had been diagnosed with a meningioma (n = 24) or had died (n = 14,891; 0.7%) before the age of 15, were also excluded. The final cohort consisted of 1,985,480 women. Through the unique personal identity number assigned to all residents in Sweden, the cohort was linked to the national birth register (Swedish Medical Birth Register), to identify all births given by women in the cohort, from 15 years of age until the end of the study period, on December 31st, 2015. Thus, during the study, women in the cohort would be between 15 and 57 years old. The national birth register includes all births given in Sweden from 1973 onwards and an estimate of the length of each pregnancy, which was used to calculate the time of conception. Cases of meningioma were identified through the national cancer register (Swedish Cancer Register), which was initiated in 1958 with mandatory reporting of cases by both clinicians and pathologists26. Information about the date of death was retrieved from the national cause of death register (Swedish Cause of Death Register)27. The date of diagnosis in the cancer register often corresponds to the date of the pathology report, i.e. after surgery. To avoid potential bias from delayed surgery among pregnant women until after delivery, additional information regarding the date of diagnosis of meningioma, was collected from the national patient register (National Patient Register), where all hospitalizations are registered28. The earliest date of diagnosis in either the cancer or the patient registry was used as date of diagnosis. The three latter registers are held by the Swedish National Board of Health and Welfare.
The women in the cohort were followed from the month they turned 15 years old to the date of meningioma diagnosis, death or until December 31st, 2015. The follow-up time in days for each woman, was split into: (1) the time prior to first conception, (2) the time during pregnancy, and (3) the time between delivery and the woman’s next conception or end of follow-up. Steps 2 and 3 were repeated for each pregnancy a woman had gone through. After the data had been split, the number of cases and person-years at risk were aggregated over the covariates that were included in each respective analysis.
Based on the assumption that there was no difference between the groups, the expected number of meningioma cases during pregnancy and during the first year immediately following delivery, was calculated using age and calendar year specific incidence rates for the entire cohort. In addition, the expected number of meningioma cases among women who were nulliparous during the whole study period was calculated based on the age- and calendar year specific incidence rates among women who gave birth at any time during the follow-up. The expected number of deaths in the nulliparous group was calculated in the same way.
The expected number of cases and standardized incidence ratios (SIR) were calculated using indirect standardization. Confidence intervals for the expected number of cases were calculated assuming the theoretical Poisson distribution. Meningioma incidence rate ratios (IRR) during pregnancy and for 1 to 20 years following last delivery were estimated with a generalized linear model using a Poisson distribution with a log link, with the number of cases as the dependent variable and person-years at risk as the number exposed. In a sensitivity analysis, women with a phacomatosis (genetic syndrome associated with the occurrence of central nervous system tumors) were excluded. The correlation between attained age and time since last delivery was estimated with Pearson correlation. Statistical analyses were conducted using Stata version 14.2 (StataCorp LLC College Station, Texas, USA). The study was approved by the Regional Ethical Review Board in Stockholm (dnr 2011/634-31/4, 2016/27-32, and 2018/1257-32). All research was performed in accordance with the relevant guidelines and regulations and informed consent from study participants was not required according to local legislation.
Ethical approval
The study was approved by the Regional Ethical Review Board in Stockholm (dnr 2011/634-31/4, 2016/27-32, and 2018/1257-32).
Results
During the follow-up period 1973–2015 there were 2,353,894 births, and 1,129,484 women had at least one delivery, 1173 women were diagnosed with meningioma, and 21,953 women died during follow-up. Descriptive characteristics of the women included into the study are reported in Table 1. In total, the cohort accrued 42,794,231 person-years of follow-up (Table 2). Eleven women were diagnosed with meningioma during pregnancy, compared to 27.4 expected (95% CI 17.8–38.1) if the incidence during pregnancy had been the same as the incidence in the entire cohort 1973–2015 (SIR 0.40; 95% CI 0.20–0.72). During the first year immediately following delivery, 40 meningioma cases were diagnosed, compared to 38.6 expected (95% CI 26.9–51.0, SIR 1.04; 95% CI 0.74–1.41). Of these 40 women, 6 (15%) were diagnosed within the first 3 weeks after delivery, 6 (15%) between > 3 weeks and 3 months, and 11 (28%) between > 3 and 6 months. Thus, 58% were diagnosed within 6 months after delivery.
Table 1.
N of children at end of follow-up | |||||
---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4+ | |
N (%) | N (%) | N (%) | N (%) | N (%) | |
Birth decade | |||||
1958–1969 | 83,330 (14) | 84,901 (15) | 257,854 (44) | 118,624 (20) | 40,253 (7) |
1970–1979 | 68,080 (16) | 72,029 (16) | 207,053 (47) | 73,159 (17) | 19,022 (4) |
1980–1989 | 207,108 (48) | 94,388 (22) | 104,152 (24) | 23,334 (5) | 4796 (1) |
1990–2000 | 497,478 (94) | 22,289 (4) | 6886 (1) | 660 (0) | 84 (0) |
Age at first childbirth | |||||
Nulliparous | 855,996 (100) | – | – | – | – |
< 20 | – | 12,285 (15) | 26,453 (32) | 25,674 (31) | 19,117 (23) |
20–24 | – | 57,292 (16) | 164,962 (47) | 93,458 (27) | 32,064 (9) |
25–29 | – | 89,683 (22) | 237,398 (58) | 73,542 (18) | 11,033 (3) |
30–34 | – | 72,987 (33) | 123,938 (56) | 21,376 (10) | 1850 (1) |
35+ | – | 41,360 (62) | 23,194 (35) | 1727 (3) | 91 (0) |
The percentages reported in this table are row percentages.
Table 2.
Agea | Women with at least one delivery | Women without children | |||||
---|---|---|---|---|---|---|---|
Number of | Person-yr.’s | Number of | Person-yr.’s | ||||
Birthsb | Deaths | Tumors | Deaths | Tumors | |||
15–19 | 55,129 | 15 | 1 | 5,638,765 | 2219 | 22 | 3,756,930 |
20–24 | 443,253 | 225 | 6 | 5,598,316 | 2341 | 29 | 2,613,812 |
25–29 | 822,820 | 631 | 32 | 5,378,902 | 1689 | 41 | 1,520,173 |
30–34 | 700,281 | 1117 | 86 | 4,870,679 | 1279 | 37 | 937,310 |
35–39 | 280,886 | 1633 | 165 | 4,121,828 | 1034 | 35 | 673,416 |
40–44 | 49,509 | 2040 | 228 | 3,203,002 | 928 | 43 | 503,164 |
45–49 | 1965 | 2299 | 242 | 2,173,442 | 964 | 38 | 345,030 |
50+ | 51 | 2635 | 149 | 1,256,686 | 904 | 19 | 202,776 |
All ages | 2,353,894 | 10,595 | 909 | 32,241,620 | 11,358 | 264 | 10,552,611 |
Women with at least one delivery and women without children during the follow-up period 1973–2015.
aAttained age at delivery, death or tumor diagnosis.
bMultiple births are counted as one birth.
Women who had never given birth to a child had a higher incidence of meningioma compared to parous women. Among women who were nulliparous throughout the whole follow-up period (n = 855,996), 264 were diagnosed with meningioma compared to an expected number of 153.1 (95% CI 129.7–178.2) had they had the same incidence as women who had given birth at any time during the follow-up period (SIR 1.73; 95% CI 1.52–1.95). Figure 1 shows age specific incidence rates with 95% confidence intervals for these two groups of women separately. The higher incidence in the nulliparous group seem to be primarily before age 40, although the small number of women in the older age-groups makes incidence estimates unstable. Of note is also that the overall mortality was higher in women without children, with 11,358 observed deaths compared to 1891 (95% CI 1806–1976) that would have been expected if they had had the same mortality as women who had given birth (SMR 6.01; 95% CI 5.90–6.12).
Table 3 shows IRRs for meningioma per time since last delivery, restricted to the population of women who gave birth at least once after they turned 15 years. There was a strong correlation between attained age and time since last delivery (Pearson 0.81; 95% CI 0.79–0.83). Age-adjusted IRRs show that during pregnancy the incidence of meningioma was reduced (IRR 0.40; 95% CI 0.22–0.73), while the IRR 2 years after delivery was only slightly raised, and not statistically significant. No consistent pattern with longer times since last delivery was found when adjusting for age, as displayed also in Fig. 2. Sensitivity analyses conducted after having excluded women with phacomatoses (N = 1276) showed almost identical results (data not shown).
Table 3.
Yeara | No. of cases according to number of previous deliveries | Total | Incidence rate ratioc | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4+ | Unadjusted | Adjustedd | ||||||
IRR | 95% CI | IRR | 95% CI | ||||||||
0b | 2 | 4 | 5 | 0 | 11 | 0.12 | 0.07 | 0.22 | 0.40 | 0.22 | 0.73 |
1 | 11 | 15 | 9 | 5 | 40 | 0.35 | 0.25 | 0.48 | 1.10 | 0.79 | 1.54 |
2 | 12 | 16 | 7 | 5 | 40 | 0.44 | 0.32 | 0.61 | 1.12 | 0.81 | 1.56 |
3 | 7 | 13 | 9 | 3 | 32 | 0.46 | 0.32 | 0.65 | 0.93 | 0.65 | 1.33 |
4 | 6 | 14 | 6 | 2 | 28 | 0.49 | 0.33 | 0.71 | 0.81 | 0.56 | 1.19 |
5 | 12 | 16 | 8 | 2 | 38 | 0.77 | 0.56 | 1.07 | 1.11 | 0.80 | 1.54 |
6 | 5 | 13 | 8 | 2 | 28 | 0.63 | 0.43 | 0.92 | 0.78 | 0.53 | 1.14 |
7 | 5 | 22 | 8 | 3 | 38 | 0.96 | 0.69 | 1.32 | 1.05 | 0.76 | 1.46 |
8 | 7 | 21 | 6 | 4 | 38 | 1.04 | 0.75 | 1.44 | 1.02 | 0.73 | 1.41 |
9 | 4 | 16 | 12 | 3 | 35 | 1.04 | 0.74 | 1.46 | 0.91 | 0.65 | 1.28 |
10 | 8 | 16 | 10 | 3 | 37 | 1.19 | 0.86 | 1.65 | 0.95 | 0.68 | 1.32 |
11 | 7 | 19 | 8 | 2 | 36 | 1.24 | 0.89 | 1.74 | 0.91 | 0.65 | 1.28 |
12 | 4 | 23 | 5 | 1 | 33 | 1.22 | 0.86 | 1.73 | 0.83 | 0.59 | 1.18 |
13 | 5 | 17 | 7 | 1 | 30 | 1.19 | 0.83 | 1.72 | 0.75 | 0.52 | 1.08 |
14 | 7 | 24 | 11 | 2 | 44 | 1.91 | 1.41 | 2.59 | 1.13 | 0.84 | 1.54 |
15 | 6 | 18 | 11 | 2 | 37 | 1.72 | 1.24 | 2.39 | 0.96 | 0.69 | 1.33 |
16 | 5 | 30 | 9 | 3 | 47 | 2.38 | 1.78 | 3.20 | 1.26 | 0.94 | 1.70 |
17 | 8 | 18 | 13 | 2 | 41 | 2.24 | 1.64 | 3.06 | 1.13 | 0.82 | 1.55 |
18 | 6 | 25 | 10 | 3 | 44 | 2.62 | 1.94 | 3.55 | 1.27 | 0.93 | 1.72 |
19 | 7 | 12 | 8 | 1 | 28 | 1.79 | 1.23 | 2.61 | 0.83 | 0.57 | 1.21 |
20 | 9 | 21 | 6 | 1 | 37 | 2.66 | 1.91 | 3.69 | 1.19 | 0.85 | 1.67 |
21+ | 41 | 89 | 28 | 9 | 167 | 3.00 | 2.53 | 3.55 | 1.21 | 0.97 | 1.50 |
Total | 184 | 462 | 204 | 59 | 909 | – | – | – | – | – | – |
Unadjusted and adjusted incidence rate ratio (IRR) with 95% confidence intervals by number of years since last delivery.
Women with at least one delivery during the follow-up period 1973–2015.
–, Not applicable.
aNumber of years since last delivery.
bTime during pregnancy.
cIncidence rate ratio for number of years since last delivery versus all other years.
dAdjusted for attained age.
Discussion
Given the available literature on differences in meningioma incidence related to sex, hormonal therapy and pregnancy, we had expected to detect an increased incidence of meningiomas associated with pregnancy in this population-based cohort study1,2,4–13,24,25. However, contrary to our expectations, we found a lower incidence of meningiomas among women who had given birth than among nulliparous women, indicating that pregnancy reduced the risk of meningioma. Only 11 patients of 2,353,894 pregnancies had a meningioma diagnosed during the pregnancy, compared to 27 expected, and delayed diagnosis did not explain the lower risk among parous women compared to nulliparous.
The major strength of the present study is the large, comprehensive cohort design with complete follow-up. All women of childbearing age in Sweden were included during a long study period. They were followed through nationwide, high quality Swedish healthcare data and population registers which allow identification and long-term follow-up of all persons. From a methodological perspective, these data are stronger than those provided by a case-control design, as the latter may suffer from selection bias caused by non-participation among cases and controls. The present findings contradict the results of case-control studies by Wigertz et al. and Claus et al.5,13 In the former, participation was 75% among cases and 52% among controls, while in the latter the corresponding numbers were 65% and 52%5,13. Our results transparently represent large population data, and arguably provide the best epidemiological estimate of meningioma incidence related to pregnancy currently available.
One other factor that may affect detection of tumors during pregnancy is the fact that most meningiomas grow slowly and cause insignificant and non-specific symptoms over a long time29–32. It is possible that a pregnancy attenuates the focus on the mother’s health, causing neglect of mild symptoms and diagnostic delay in comparison to nulliparous women. In addition, radiological examinations during pregnancy are avoided unless indications are considered very strong. However, diagnostic delays cannot account for the low number of meningiomas diagnosed during and after pregnancy, since the low number of meningiomas diagnosed during pregnancywas not compensated by higher than expected numbers during the first-year post-partum: forty cases were observed compared to the expected 38.6.
Elucidating the mechanistic relationship between meningioma development and sex steroids is complicated by the diverse effects of estrogen and progesterone. The net results include cellular proliferation, as well as differentiation and apoptosis33. Meningioma and breast cancer are associated and may have similar causes. Hormone-receptor positive breast cancer is inversely associated with childbirth, while hormonal replacement therapy, the use of oral contraceptives and a long interval between menarche and first birth had a strong correlation with breast cancer34–36. In contrast, parity and oral progestin-containing contraceptives protect against endometrial- and ovarian cancers33,37–39.
Our findings, and previous literature on pregnancy associated meningioma growth, could be compatible, provided that pregnancy-associated meningiomas comprise a biologically distinguishable small subgroup of meningiomas. Meningiomas detected during pregnancy have unique features that differ from most meningiomas24,25. Most are parasellar and chordoid- and clear cell morphology are overrepresented25. It is thus probable that a possible subgroup of hormone-dependent pregnancy-related meningiomas was too small to be detected in this study. Recently, the final report based on the French National Health Data System declared an unequivocal causal relation between the progestin cyproterone acetate and meningioma growth in a subgroup of hormonally dependent tumors14. The initial reports of mifepristone, an antiprogestogen, therapy for unresectable meningiomas showed opposite effects in the small number of patients treated40, and some patients who received therapy with the selective estrogen receptor modulator tamoxifen for breast-cancer appear to have been protected from meningiomas41,42. Recently, an increased mutational frequency of PIK3CA, found in several hormonally associated cancers, has been identified in progestin-associated meningiomas43. The sum of observations suggests that there are subgroups of meningioma, which may display hormonal dependence and show accelerated growth during pregnancy, while the majority do not.
An alternative explanation for the higher meningioma incidence in nulliparous women could be that nulliparity may be an epiphenomenon linked to poor health. Overall in our dataset, nulliparous women had higher mortality and died at younger ages than parous women. Nulliparity may thus in itself be a result of poorer health42–47. Excluding women with genetic syndromes known to be associated with the occurrence of central nervous system tumors did not change our results. There is some evidence that morbidities such as hypertension and diabetes are related to a higher incidence of meningioma48, although their relation to parity is unclear.
A limitation in our study is the lack of information about other sources of hormonal alterations in women, such as miscarriages, abortions, and use of exogenous sex hormones. Hormonal flux occurs already during early pregnancy compared to the normal menstrual cycle18. Women who were exposed to altered levels of sex hormones during early terminated pregnancies were not classified as “pregnant” in this study and may have been analyzed among “nulliparous” unless they had given birth at another date. Such misclassification would, however, attenuate an association and cannot explain the higher incidence of meningioma in nulliparous women. Thus, the omission of early terminated pregnancies is probably of limited significance for a hypothesis regarding hormonal influence.
The Swedish cancer registry employs a system of dual reporting by pathologists and clinicians and has a complete coverage of all histologically verified meningiomas, detected either at surgery or at autopsy. However, patients with conservatively managed meningiomas are reported only by the clinicians who establish the diagnosis; there is also evidence of underreporting of benign brain tumors to the Swedish cancer registry49. Nonetheless, there is no a priori reason to suspect selection bias since indications for surgery during the long follow-up period will not be influenced by a history of pregnancy.
Conclusion
Our findings showed a decreased risk of meningioma during pregnancy and during follow-up after childbirth compared to nulliparous women in the age group 15–57. These results contradict the belief that hormonal influence during pregnancy increases the detection rate of meningioma.
Author contributions
J.P.-S., T.M., M.F., G.T. contributed to conception and design of the study. M.T. organized the database and performed the statistical analysis. J.P.-S. and T.M. drafted the first version of the manuscript. A.E.-T., E.E., M.T., M.F., G.T. wrote sections of the manuscript. All authors contributed to manuscript revision, read and approved the submitted version.
Funding
Open access funding provided by Karolinska Institutet. Swedish Research Council (2017-02913, 521-2010-2480); Swedish Cancer Society (2015/724).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Wiemels J, Wrensch M, Claus EB. Epidemiology and etiology of meningioma. J. Neurooncol. 2010;99(3):307–314. doi: 10.1007/s11060-010-0386-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ostrom QT, Cioffi G, Gittleman H, et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2012–2016. Neuro Oncol. 2019;21(Supplement_5):v1–v100. doi: 10.1093/neuonc/noz150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Swedish National Board of Health and Welfare. Statistical Database, Cancer. https://sdb.socialstyrelsen.se/if_can/val_eng.aspx. Accessed 02 Oct 2020.
- 4.Schneider B, Pulhorn H, Rohrig B, Rainov NG. Predisposing conditions and risk factors for development of symptomatic meningioma in adults. Cancer Detect. Prev. 2005;29(5):440–447. doi: 10.1016/j.cdp.2005.07.002. [DOI] [PubMed] [Google Scholar]
- 5.Wigertz A, Lonn S, Hall P, et al. Reproductive factors and risk of meningioma and glioma. Cancer Epidemiol. Biomark. Prev. Publ. Am. Assoc. Cancer Res. Cosponsored Am. Soc. Prev. Oncol. 2008;17(10):2663–2670. doi: 10.1158/1055-9965.EPI-08-0406. [DOI] [PubMed] [Google Scholar]
- 6.Benson VS, Pirie K, Green J, et al. Hormone replacement therapy and incidence of central nervous system tumours in the Million Women Study. Int. J. Cancer. 2010;127(7):1692–1698. doi: 10.1002/ijc.25184. [DOI] [PubMed] [Google Scholar]
- 7.Anic GM, Madden MH, Nabors LB, et al. Reproductive factors and risk of primary brain tumors in women. J. Neurooncol. 2014;118(2):297–304. doi: 10.1007/s11060-014-1427-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wigertz A, Lonn S, Mathiesen T, et al. Risk of brain tumors associated with exposure to exogenous female sex hormones. Am. J. Epidemiol. 2006;164(7):629–636. doi: 10.1093/aje/kwj254. [DOI] [PubMed] [Google Scholar]
- 9.Benson VS, Kirichek O, Beral V, Green J. Menopausal hormone therapy and central nervous system tumor risk: large UK prospective study and meta-analysis. Int. J. Cancer. 2015;136(10):2369–2377. doi: 10.1002/ijc.29274. [DOI] [PubMed] [Google Scholar]
- 10.Michaud DS, Gallo V, Schlehofer B, et al. Reproductive factors and exogenous hormone use in relation to risk of glioma and meningioma in a large European cohort study. Cancer Epidemiol. Biomark. Prev. Publ. Am. Assoc. Cancer Res. Cosponsored Am. Soc. Prev. Oncol. 2010;19(10):2562–2569. doi: 10.1158/1055-9965.EPI-10-0447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lee E, Grutsch J, Persky V, Glick R, Mendes J, Davis F. Association of meningioma with reproductive factors. Int. J. Cancer. 2006;119(5):1152–1157. doi: 10.1002/ijc.21950. [DOI] [PubMed] [Google Scholar]
- 12.Korhonen K, Raitanen J, Isola J, Haapasalo H, Salminen T, Auvinen A. Exogenous sex hormone use and risk of meningioma: a population-based case-control study in Finland. Cancer Causes Control CCC. 2010;21(12):2149–2156. doi: 10.1007/s10552-010-9634-2. [DOI] [PubMed] [Google Scholar]
- 13.Claus EB, Calvocoressi L, Bondy ML, Wrensch M, Wiemels JL, Schildkraut JM. Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females. J. Neurosurg. 2013;118(3):649–656. doi: 10.3171/2012.9.JNS12811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Weill, A., Cadier, B., Nguyen, P. & Coste, J. Exposition prolongée à de fortes doses d’acétate de cyprotérone et risque de méningiome chez la femme. Paris: ANSM 2019; https://www.ansm.sante.fr/var/ansm_site/storage/original/application/b632fbd0387cd9e80a8312469ed52d2a.pdf. Accessed 09 Sept 2020.
- 15.Bickerstaff ER, Small JM, Guest IA. The relapsing course of certain meningiomas in relation to pregnancy and menstruation. J. Neurol. Neurosurg. Psychiatry. 1958;21(2):89–91. doi: 10.1136/jnnp.21.2.89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Michelsen JJ, New PF. Brain tumour and pregnancy. J. Neurol. Neurosurg. Psychiatry. 1969;32(4):305–307. doi: 10.1136/jnnp.32.4.305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Abbassi-Ghanavati M, Greer LG, Cunningham FG. Pregnancy and laboratory studies: a reference table for clinicians. Obstet. Gynecol. 2009;114(6):1326–1331. doi: 10.1097/AOG.0b013e3181c2bde8. [DOI] [PubMed] [Google Scholar]
- 18.Tal R, Taylor HS, Burney RO, Mooney SB, Giudice LC, et al. Endocrinology of pregnancy. In: De Groot LJ, Chrousos G, Dungan K, et al., editors. Endotext. MDText.com, Inc.; 2000. [Google Scholar]
- 19.Baxter DS, Orrego A, Rosenfeld JV, Mathiesen T. An audit of immunohistochemical marker patterns in meningioma. J. Clin. Neurosci. 2014;21(3):421–426. doi: 10.1016/j.jocn.2013.06.008. [DOI] [PubMed] [Google Scholar]
- 20.Brisken C, Scabia V. 90 YEARS OF PROGESTERONE: progesterone receptor signaling in the normal breast and its implications for cancer. J. Mol. Endocrinol. 2020;65(1):T81–T94. doi: 10.1530/JME-20-0091. [DOI] [PubMed] [Google Scholar]
- 21.Obr AE, Edwards DP. The biology of progesterone receptor in the normal mammary gland and in breast cancer. Mol. Cell Endocrinol. 2012;357(1–2):4–17. doi: 10.1016/j.mce.2011.10.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Koper JW, Foekens JA, Braakman R, Lamberts SW. Effects of progesterone on the response to epidermal growth factor and other growth factors in cultured human meningioma cells. Cancer Res. 1990;50(9):2604–2607. [PubMed] [Google Scholar]
- 23.Cushing H, Eisenhardt L. Meningiomas arising from the tuberculum sellae. Arch. Ophthalmol. 1929;1:168–205. doi: 10.1001/archopht.1929.00810010177003. [DOI] [Google Scholar]
- 24.Lusis EA, Scheithauer BW, Yachnis AT, et al. Meningiomas in pregnancy: a clinicopathologic study of 17 cases. Neurosurgery. 2012;71(5):951–961. doi: 10.1227/NEU.0b013e31826adf65. [DOI] [PubMed] [Google Scholar]
- 25.Laviv Y, Ohla V, Kasper EM. Unique features of pregnancy-related meningiomas: lessons learned from 148 reported cases and theoretical implications of a prolactin modulated pathogenesis. Neurosurg. Rev. 2018;41(1):95–108. doi: 10.1007/s10143-016-0762-3. [DOI] [PubMed] [Google Scholar]
- 26.Barlow L, Westergren K, Holmberg L, Talback M. The completeness of the Swedish Cancer Register: a sample survey for year 1998. Acta Oncol. 2009;48(1):27–33. doi: 10.1080/02841860802247664. [DOI] [PubMed] [Google Scholar]
- 27.Brooke HL, Talback M, Hornblad J, et al. The Swedish cause of death register. Eur. J. Epidemiol. 2017;32(9):765–773. doi: 10.1007/s10654-017-0316-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ludvigsson JF, Andersson E, Ekbom A, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450. doi: 10.1186/1471-2458-11-450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Olivero WC, Lister JR, Elwood PW. The natural history and growth rate of asymptomatic meningiomas: a review of 60 patients. J. Neurosurg. 1995;83(2):222–224. doi: 10.3171/jns.1995.83.2.0222. [DOI] [PubMed] [Google Scholar]
- 30.Hashiba T, Hashimoto N, Izumoto S, et al. Serial volumetric assessment of the natural history and growth pattern of incidentally discovered meningiomas. J. Neurosurg. 2009;110(4):675–684. doi: 10.3171/2008.8.JNS08481. [DOI] [PubMed] [Google Scholar]
- 31.Oya S, Kim SH, Sade B, Lee JH. The natural history of intracranial meningiomas. J. Neurosurg. 2011;114(5):1250–1256. doi: 10.3171/2010.12.JNS101623. [DOI] [PubMed] [Google Scholar]
- 32.McNeill KA. Epidemiology of brain tumors. Neurol. Clin. 2016;34(4):981–998. doi: 10.1016/j.ncl.2016.06.014. [DOI] [PubMed] [Google Scholar]
- 33.Hilton HN, Clarke CL, Graham JD. Estrogen and progesterone signalling in the normal breast and its implications for cancer development. Mol. Cell Endocrinol. 2018;466:2–14. doi: 10.1016/j.mce.2017.08.011. [DOI] [PubMed] [Google Scholar]
- 34.Anderson KN, Schwab RB, Martinez ME. Reproductive risk factors and breast cancer subtypes: a review of the literature. Breast Cancer Res. Treat. 2014;144(1):1–10. doi: 10.1007/s10549-014-2852-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Charlton BM, Rich-Edwards JW, Colditz GA, et al. Oral contraceptive use and mortality after 36 years of follow-up in the Nurses' Health Study: prospective cohort study. BMJ. 2014;349:g6356. doi: 10.1136/bmj.g6356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bhupathiraju SN, Grodstein F, Stampfer MJ, Willett WC, Hu FB, Manson JE. Exogenous hormone use: oral contraceptives, postmenopausal hormone therapy, and health outcomes in the Nurses' Health Study. Am. J. Public Health. 2016;106(9):1631–1637. doi: 10.2105/AJPH.2016.303349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Beavis AL, Smith AJ, Fader AN. Lifestyle changes and the risk of developing endometrial and ovarian cancers: opportunities for prevention and management. Int. J. Womens Health. 2016;8:151–167. doi: 10.2147/IJWH.S88367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Brisken C, Park S, Vass T, Lydon JP, O'Malley BW, Weinberg RA. A paracrine role for the epithelial progesterone receptor in mammary gland development. Proceedings of the National Academy of Sciences. 1998;95:5076–5081. doi: 10.1073/pnas.95.9.5076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Clarke, R. B., Howell, A., Potten, C.S., Anderson, E. Dissociation between steroid receptor expression and cell proliferation in the human breast. Cancer Res.57(22), 4987–4991 (1997). [PubMed]
- 40.Lamberts SW, Tanghe HL, Avezaat CJ, et al. Mifepristone (RU 486) treatment of meningiomas. J. Neurol. Neurosurg. Psychiatry. 1992;55(6):486–490. doi: 10.1136/jnnp.55.6.486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ji J, Sundquist J, Sundquist K. Association of tamoxifen with meningioma: a population-based study in Sweden. Eur. J. Cancer Prev. 2016;25(1):29–33. doi: 10.1097/CEJ.0000000000000133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sun LM, Lin CL, Sun S, Hsu CY, Shae Z, Kao CH. Long-term use of tamoxifen is associated with a decreased subsequent meningioma risk in patients with breast cancer: a nationwide population-based cohort study. Front. Pharmacol. 2019;10:674. doi: 10.3389/fphar.2019.00674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Peyre M, Gaillard S, de Marcellus C, et al. Progestin-associated shift of meningioma mutational landscape. Ann. Oncol. 2018;29(3):681–686. doi: 10.1093/annonc/mdx763. [DOI] [PubMed] [Google Scholar]
- 44.Lund E, Arnesen E, Borgan JK. Pattern of childbearing and mortality in married women—a national prospective study from Norway. J. Epidemiol. Community Health. 1990;44(3):237–240. doi: 10.1136/jech.44.3.237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Grundy E, Kravdal O. Fertility history and cause-specific mortality: a register-based analysis of complete cohorts of Norwegian women and men. Soc. Sci. Med. 2010;70(11):1847–1857. doi: 10.1016/j.socscimed.2010.02.004. [DOI] [PubMed] [Google Scholar]
- 46.Merritt MA, Riboli E, Murphy N, et al. Reproductive factors and risk of mortality in the European Prospective Investigation into Cancer and Nutrition; a cohort study. BMC Med. 2015;13:252. doi: 10.1186/s12916-015-0484-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Barclay K, Keenan K, Grundy E, Kolk M, Myrskyla M. Reproductive history and post-reproductive mortality: a sibling comparison analysis using Swedish register data. Soc. Sci. Med. 2016;155:82–92. doi: 10.1016/j.socscimed.2016.02.043. [DOI] [PubMed] [Google Scholar]
- 48.Muskens IS, Wu AH, Porcel J, et al. Body mass index, comorbidities, and hormonal factors in relation to meningioma in an ethnically diverse population: the Multiethnic Cohort. Neuro Oncol. 2019;21(4):498–507. doi: 10.1093/neuonc/noz005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Tettamanti G, Ljung R, Ahlbom A, et al. Central nervous system tumor registration in the Swedish Cancer Register and Inpatient Register between 1990 and 2014. Clin. Epidemiol. 2019;11:81–92. doi: 10.2147/CLEP.S177683. [DOI] [PMC free article] [PubMed] [Google Scholar]