OBJECTIVE: To look for a relationship between the maternal age-specific incidence of complete molar pregnancy and the age-specific mid-follicular levels of circulating follicle stimulating hormone and luteinizing hormone. DESIGN: Calculation of correlation coefficients between the incidence of complete mole and the circulating levels of follicle stimulating hormone and luteinizing hormone using the method of least squares. SETTING: England and Wales. PARTICIPANTS: All mothers between 23 and 49 years delivering in England and Wales between 2000 and 2009 inclusive and a sample of women between 23 and 49 years from Sheffield (1987). MAIN OUTCOME MEASURES: The bivariate correlation coefficients between the incidence of complete mole and the mid-follicular plasma levels of the pituitary gonadotrophins. RESULTS: Exponential correlation between the incidence of complete mole and mid-follicular plasma follicle stimulating hormone, r = 0.965, r (2 )= 0.932. Linear correlation between the incidence of complete mole and mid-follicular plasma luteinizing hormone, r = 0.972, r (2 )= 0.944. Multivariate exponential regression between the incidence of complete mole and the combination of follicle stimulating and luteinizing hormones. This does not improve the prediction of the incidence of complete mole and it shows that luteinizing hormone is not a significant predictor of the incidence of complete mole in the presence of follicle stimulating hormone. CONCLUSIONS: There is a strong positive exponential correlation between the maternal age-specific incidence of complete mole in England and Wales and the age-related mid-follicular levels of follicle stimulating hormone in a sample of English women.
OBJECTIVE: To look for a relationship between the maternal age-specific incidence of complete molar pregnancy and the age-specific mid-follicular levels of circulating follicle stimulating hormone and luteinizing hormone. DESIGN: Calculation of correlation coefficients between the incidence of complete mole and the circulating levels of follicle stimulating hormone and luteinizing hormone using the method of least squares. SETTING: England and Wales. PARTICIPANTS: All mothers between 23 and 49 years delivering in England and Wales between 2000 and 2009 inclusive and a sample of women between 23 and 49 years from Sheffield (1987). MAIN OUTCOME MEASURES: The bivariate correlation coefficients between the incidence of complete mole and the mid-follicular plasma levels of the pituitary gonadotrophins. RESULTS: Exponential correlation between the incidence of complete mole and mid-follicular plasma follicle stimulating hormone, r = 0.965, r (2 )= 0.932. Linear correlation between the incidence of complete mole and mid-follicular plasma luteinizing hormone, r = 0.972, r (2 )= 0.944. Multivariate exponential regression between the incidence of complete mole and the combination of follicle stimulating and luteinizing hormones. This does not improve the prediction of the incidence of complete mole and it shows that luteinizing hormone is not a significant predictor of the incidence of complete mole in the presence of follicle stimulating hormone. CONCLUSIONS: There is a strong positive exponential correlation between the maternal age-specific incidence of complete mole in England and Wales and the age-related mid-follicular levels of follicle stimulating hormone in a sample of English women.
Every complete mole is the result of a monospermic or dispermic fertilization of an empty
ovum. There are only rare exceptions to this rule.[1] Ovulation with follicular maturation and
completion of meiosis I is driven by follicle stimulating hormone (FSH) and luteinizing
hormone (LH) whose plasma levels vary according to the stage of the menstrual cycle and
maternal age.[2] The
maternal age-specific incidence of complete mole (ICM) is bimodal with a minor peak in
teenagers, a minimum in the mid-thirties and a higher maximum in mothers over 40 years. This
pattern is universal but remains unexplained.[3] My hypothesis is that the maternal
age-related variation in the ICM is determined by the age-related changes in the circulating
levels of the pituitary gonadotrophins and I have investigated this by using the published
work of Elizabeth Lenton and Philip Savage to search for correlations between the ICM in
England and Wales and the mid-follicular levels of circulating gonadotrophins in a sample of
English women.[4,5]
Subjects and methods
In 1987, Lenton examined a sample of 127 women from Sheffield, England, aged 23–49 years
and measured their mid-follicular (days −10 to −5 with respect to the mid-cycle surge in LH)
levels of plasma FSH and LH.[4] She expressed the results as geometric means in international units per
litre (IU/L) and arranged them into 14 two-year age bands showing that the age-related rise
in FSH takes place at 40–41 years, 4 years earlier and proportionally greater than the rise
in LH. The use of mid-follicular samples excluded menstrual variation and ensured that any
changes in gonadotrophin levels were age related. Mid-follicular values of FSH are second
only to the mid-cycle FSH surge and are higher than random measurements.[4]Savage has recently published figures for the age-related risk of complete mole in England
and Wales (2000–2009) for mothers between 13 and 50+ years, expressing his results as the
risk of one complete mole per number of viable conceptions, including live births,
stillbirths, legal terminations and moles.[5] I have converted his figures to the number
of complete moles per 1000 viable conceptions (ICM) for mothers between 23 and 49 years to
match Lenton’s data for the gonadotrophins. This maternal age range includes the lowest and
the penultimate values for the ICM. The highest value for the ICM is at 50+ years but Lenton
gives no matching gonadotrophin levels at this age nor for women younger than 23 years.The data used in this study are recorded in Table 1. Correlations between the age-related ICM and
the plasma gonadotrophins were sought using the method of least squares after initial
examination of the data using scatter plots. Bivariate models of the ICM (dependent
variable) and the FSH, and LH (explanatory variables) were constructed. Multivariate models
were examined to determine whether using the gonadotrophins together improved the prediction
of the ICM.
Table
1.
Incidence of complete mole (number of complete moles per thousand
viable conceptions), follicle stimulating and luteinizing hormones (international
units per litre), all in two-year age bands.
Age (years)
FSH (IU/L)
LH (IU/L)
Incidence of complete mole (No. CM/1000 VC)
23
5.3
6.6
0.61
24–25
5.0
6.3
0.60
26–27
5.2
6.1
0.64
28–29
5.9
6.3
0.59
30–31
5.0
6.3
0.55
32–33
5.4
6.1
0.56
34–35
5.0
6.8
0.49
36–37
5.4
6.1
0.51
38–39
6.1
6.6
0.69
40–41
7.4
7.6
0.90
42–43
8.2
6.3
2.20
44–45
9.4
6.6
4.46
46–47
9.7
8.3
14.94
48–49
14.4
12.7
41.89
Incidence of complete mole (number of complete moles per thousand
viable conceptions), follicle stimulating and luteinizing hormones (international
units per litre), all in two-year age bands.
Results
The regression coefficients and equations for the exponential relationship of ICM and FSH,
the linear relationship between ICM and LH and the multivariate exponential relationship
between ICM and FSH combined with LH are given in Table 2. Each model accounts for at least 90% of the
variance in ICM.
Table
2.
Regression coefficients for the relationships between ICM and FSH,
ICM and LH, and ICM and FSH and LH combined.
Regression coefficients for the relationships between ICM and FSH,
ICM and LH, and ICM and FSH and LH combined.The best model is the exponential one linking ICM and FSH as it is consistent with the
largest number of data points and has the smallest standard error. A single unit increase in
FSH leads to an approximate two-thirds increase in the ICM.The linear model of ICM and LH does not predict the lower levels of ICM accurately as it is
driven largely by the two highest data points. When these two points are excluded the
correlation coefficient for the first 12 points is very low, r = 0.104,
r
2 = 0.011. In addition, the standard error for the full model
(14 data points) is more than seven times greater than that for the exponential model of ICM
and FSH.The multivariate model does not improve the prediction of ICM and it demonstrates that LH
is not a significant predictor of ICM in the presence of FSH.
Discussion
The results show that there is a positive exponential correlation between the maternal
age-specific ICM in England and Wales and the circulating age-specific mid-follicular FSH in
a sample of English women, and that LH is not a significant predictor of ICM in the presence
of FSH.The results from the London-based Gestational Trophoblastic Disease Centre are population
based, subject to expert histological review and include every year of maternal age from
menarche to menopause.[5]
In addition, because of the Centre’s long experience in gathering information on incident
molar pregnancies it is likely that the ascertainment of moles is optimal.[5] Regrettably, the figures for
FSH and LH only extend from 23 to 49 years.[4] There are no other studies of the
relationship between ICM and FSH but the regression equation of Table 2 enables predictions of mid-follicular FSH to
be made for English teenagers and women of 50+ (Table 3). These predictions can be tested in
observational studies and are in agreement with Neely’s random FSH results from Californian
girls and teenagers in showing that following a childhood surge FSH levels peak at the
menarche, around 14 years, and then fall during the late teens towards the levels found in
young adults by Lenton.[4,6] The pattern
of circulating FSH matches that of ICM, a minor peak at menarche, a minimum between 20 and
35 years and finally a major peak approaching the menopause. The hypothesis that circulating
FSH is a determinant of complete mole is biologically plausible as FSH is intimately
involved in oocyte and follicular maturation, including the resumption of meiosis
I.[2,7]
Table
3.
Observed ICM in England and Wales with predicted mid-follicular
FSH in English teenagers and women of 50 + (5).
Age (years)
Observed ICM (No. CM/1000 VC) (5)
Predicted FSH (IU/L)
13–14
2.87
8.5
15–16
1.76
7.6
17–18
1.04
6.5
19–20
0.78
5.9
21–22
0.68
5.7
50+
125.00
15.8
Observed ICM in England and Wales with predicted mid-follicular
FSH in English teenagers and women of 50 + (5).Circulating levels of FSH are increased in cigarette smokers and show a positive
correlation with the number of cigarettes smoked.[8-10] In Italy, La
Vecchia has shown that the frequency of trophoblastic tumours including complete mole is
doubled in smoking mothers.[11] Suggestions that the raised levels of FSH in smokers are the result of
accelerated ovarian ageing are incorrect: ageing is an irreversible process but the raised
FSH levels in smokers return to normal in ex-smokers and prenatal exposure to maternal
smoking has no effect on FSH levels in their adult female offspring.[9] Furthermore, ovarian ageing
from 13 to 35 years is not accompanied by a rising FSH (Tables 1 and 3).[4]Studies on primates exposed to combinations of recombinant gonadotrophins (rFSH, rLH)
following prolonged treatment with a gonadotrophin hormone releasing hormone antagonist
(Antide) suggest that only FSH is essential for follicular growth and completion of meiosis.
These findings are supported by studies on Finnish women with an inactivating point mutation
in the gene for the FSH receptor who present with primary amenorrhoea associated with biopsy
proven failure of oocyte and follicular maturation.[12,13] Recent studies by Gianaroli in Italy and
Esther Baart in the Netherlands working in assisted conception units show that increasing
the dose of rFSH to which oocytes are exposed increases the frequency of
aneuploidy.[14,15] Baart’s patients were in
two randomly chosen groups of equal age distribution, with the higher dose group receiving
50% more rFSH than the low dose one. All embryos were biopsied and examined by fluorescent
in situ hybridization to determine the presence of aneuploidy. There were
40% more aneuploid embryos in the high dose group, a significant difference
(p = 0.02). It is not oocyte ageing which determines aneuploidy but the
level of exposure to FSH so that when FSH peaks at menarche and approaching the menopause
there is a probable increase in the frequency of aneuploid ova with no maternal chromosomes
leading to the bimodal peaks in the ICM.Analytical epidemiological studies on cohorts of individual patients with known
pre-conception mid-follicular FSH levels and subsequent determination of pregnancy outcome
will be required to test this hypothesis. Such studies will be most easily conducted amongst
populations with known high frequencies of complete mole: the Japanese and the Gulf Arabs of
Oman and Yemen.[3,16] In the UK, the population
with the highest frequency of complete mole is the group of postmolar patients managed by
Savage and his colleagues at the Trophoblastic Disease Centres in London and
Sheffield.[5]
Authors: Esther B Baart; Elena Martini; Marinus J Eijkemans; Diane Van Opstal; Nicole G M Beckers; Arie Verhoeff; Nicolas S Macklon; Bart C J M Fauser Journal: Hum Reprod Date: 2007-01-04 Impact factor: 6.918
Authors: P M Savage; A Sita-Lumsden; S Dickson; R Iyer; J Everard; R Coleman; R A Fisher; D Short; S Casalboni; K Catalano; M J Seckl Journal: J Obstet Gynaecol Date: 2013-05 Impact factor: 1.246
Authors: L Gianaroli; M C Magli; G Cavallini; A Crippa; A Capoti; S Resta; F Robles; A P Ferraretti Journal: Hum Reprod Date: 2010-07-08 Impact factor: 6.918
Authors: K Aittomäki; R Herva; U H Stenman; K Juntunen; P Ylöstalo; O Hovatta; A de la Chapelle Journal: J Clin Endocrinol Metab Date: 1996-10 Impact factor: 5.958