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. Author manuscript; available in PMC: 2012 Aug 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2011 Jul 26;20(8):1751–1759. doi: 10.1158/1055-9965.EPI-11-0381

Hormonal Factors and the Risk of Papillary Thyroid Cancer in the California Teachers Study Cohort

Pamela L Horn-Ross 1, Alison J Canchola 1, Huiyan Ma 2, Peggy Reynolds 1, Leslie Bernstein 2
PMCID: PMC3288117  NIHMSID: NIHMS356878  PMID: 21791618

Abstract

Background

Despite the increasing incidence of thyroid cancer, there is limited information on its etiology. The strikingly higher rates in young women, compared to men, suggest that sex steroid hormones may be involved in the development of this disease.

Methods

We investigated the effects of menstrual, reproductive, and other hormonal factors on papillary thyroid cancer risk in the prospective California Teachers Study (CTS) cohort. Among 117,646 women, 233 were diagnosed with invasive histologically-confirmed papillary thyroid cancer after cohort enrollment and before January 1, 2008. Relative risks (RR) and 95% confidence intervals (CI) were estimated using Cox proportional hazards regression models.

Results

Among younger women (age <45 years at baseline; approximately one-third of the cohort), but not older women, later age at menarche (age ≥14 years) was associated with increased risk (RR=1.88, 95% CI: 1.13–3.13; pinteraction by age=0.06). Risk was also increased among young women who had longer (>30 days) adolescent menstrual cycles (RR=1.78, 95% CI: 1.01–3.14) and whose last pregnancy had ended within five years of cohort enrollment (RR=2.21, 95% CI: 1.13–4.34). Among older women (age ≥45 years at baseline), ever use of estrogen-only therapy was associated with a statistically non-significant increase in risk (RR=1.69, 95% CI: 0.95–2.98).

Conclusions

The findings from this prospective analysis suggest that several factors related to delayed pubertal development and the transient effects of pregnancy may be particularly important in influencing risk in young women.

Impact

These results suggest the importance of future research into the role of progesterone and the estrogen-to-progesterone ratio.

Keywords: papillary thyroid cancer, menstrual factors, reproductive factors, exogenous hormone use, epidemiology

Introduction

Thyroid cancer incidence has risen substantially over the last decade (1). It is now the seventh most commonly occurring cancer in US women and the second most common among young women (ages 20–44 years) (1). Overall, thyroid cancer is three times more common in women than men, with the greatest gender differences observed between the ages of 25 and 64 (1). Yet, with the exception of radiation exposure and a personal or family history of proliferative thyroid disease (24), its causes are still largely unestablished. The striking gender differences in incidence strongly suggest that sex steroid hormones may be involved in the development of this disease. A large pooled analysis of case-control studies found only weak associations between thyroid cancer and several menstrual and reproductive factors, such as later age at menarche, miscarriages, and parity (5). Examination of more complex relationships, such as those that reflect exposure to estrogens unopposed by progesterone (e.g., irregular menstrual cycles), may provide additional information. Indeed, several more recent studies have suggested that irregular menstrual cycles and a pregnancy within the five years prior to diagnosis increase risk in young women (612).

We investigated the effects of various aspects of menstrual and reproductive factors on papillary thyroid cancer risk in the prospective California Teachers Study (CTS) cohort. Papillary thyroid cancer, including its variant mixed papillary/follicular, is the most common type of thyroid cancer accounting for about 80% to 85% of all thyroid cancers in iodine sufficient, non-endemic goiter areas, including California. Since the etiology of thyroid cancer is likely to differ by histologic type, we focus here on tumors with papillary components only.

Material and Methods

Study Population and Data Collection

The CTS cohort was established in 1995–96 when 133,479 active and retired female teachers and administrators participating in the California State Teachers Retirement System returned a mailed self-administered questionnaire covering a wide variety of issues related to women’s health, including extensive questions on menstrual and reproductive histories and use of exogenous hormones (13). Exposure data used in this analysis are based on responses to this baseline questionnaire. Cohort member were excluded (sequentially) from this analysis if they did not reside in California at baseline (n=8,867); restricted their participation to breast cancer research (n=18); reported having been diagnosed with thyroid cancer before completing the baseline questionnaire, were identified by the California Cancer Registry (CCR) as having had a previous thyroid cancer, or did not adequately complete items related to a history of thyroid cancer (n=1219); or were age 80 years or older at baseline (n=5,729). Of the 117,646 women included in this analysis, 233 were diagnosed with invasive histologically-confirmed papillary thyroid cancer (ICD-O-3 site code: C73.9; histology codes: 8050, 8260, 8340–8344, and 8350) after joining the cohort and before January 1, 2008. Women diagnosed with other histologic types of thyroid cancer or in situ thyroid cancer, and women who moved out of California or died before January 1, 2008 were censored at the date of the first of these events.

The CTS has been approved by the Institutional Review Boards of the State of California, the Cancer Prevention Institute of California (formerly the Northern California Cancer Center), the City of Hope, the University of Southern California, and the University of California, Irvine.

Follow-up

The CTS cohort is followed annually for cancer diagnoses, death, and changes of address. Annual linkage between the CCR and the cohort membership is used to identify incident cancers occurring among cohort members. The CCR is a population-based cancer registry that is anchored in legislation that mandates reporting. It covers the state of California, has interstate agreements with 13 other states for case-sharing purposes, is estimated to be over 99% complete (14), and is part of the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program. Thus, follow-up for cancer outcomes among cohort members residing in California is virtually complete.

Linkage between the CTS cohort and the CCR database is based on full name, date of birth, address, and social security number and includes manual review of possible matches. Linkages with mortality files, the Social Security death masterfile, and the National Death Index are used to ascertain date and cause of death. Changes of address are obtained by annual mailings, responses from participants, and record linkages with multiple sources, including the US Postal Service National Change of Address database.

Data Analysis

Follow-up time was calculated as the number of days between cohort enrollment (i.e., the date the baseline questionnaire was completed) and either the date of invasive papillary thyroid cancer diagnosis, the diagnosis of another type of invasive thyroid cancer or any type of in-situ thyroid cancer, the date of death, the date (or estimated date) the woman moved out of California, or December 31, 2007, whichever came first. Relative risks (RR; hazard rate ratios) and 95% confidence intervals (CI) were estimated using Cox proportional hazards regression models with age (in days) as the timescale and stratified by age at baseline (in years). As specified in the tables, relative risks were adjusted for race/ethnicity (white, non-white, missing), family history of thyroid cancer in a first degree relative (parent, sibling or child; yes, no, adopted/missing), age at menarche (<14 years, ≥14 years, never menstruated/missing), length of adolescent menstrual cycle and time until periods became regular (cycle ≤ 30 days, cycle >30 days with irregular periods for < 5 years, cycle >30 days with irregular periods for ≥5 years, periods never became regular, never menstruated//missing), years between last pregnancy and joining the cohort (≤5 years, >5 years, never pregnant, missing), smoking history (never, ever, missing), alcohol consumption in the year before baseline (non-drinker, <10 g/d, ≥10 g/d, missing), average lifetime (high school to age 54 years or age at joining the cohort if younger than 54 years) moderate and strenuous recreational physical activity (inactive (≤1 hr/wk), active (>1 hr/wk), missing) and height (<67 inches, ≥67 inches, missing). These covariates were included based on their independent association with risk in our cohort and prior knowledge of thyroid cancer risk factors; variable definitions were chosen which best described the relationship with risk while preserving parsimony. Results are presented for all women combined and separately, for younger (age at baseline <45 years) and older women (age at baseline ≥45 years). These age cut-points were chosen for comparability with previous studies which have suggested age differences in risk factors (8, 1012), to correspond with the peak of the age-specific incidence curve for papillary thyroid cancer (11), and to reflect the reproductive period.

Likelihood ratio tests for interaction between age at baseline (<45 years vs ≥45 years) and the reproductive and menstrual factors of interest were computed based on comparing models with and without cross-product terms separately for each of the main effect variables; main effect variables were dichotomized in these models. The proportional hazards assumption for each adjustment variable and main effect was evaluated using a likelihood ratio test of interaction with the age time-scale (continuous) based on cross-product terms. There were no violations of the proportional hazards assumption for any of the main effects or adjustment variables.

Results

Table 1 presents the distributions of the factors of interest and potential confounders included in the present analysis for the analytic cohort as a whole and stratified by age at baseline (<45 years and ≥45 years). Twenty-nine percent of the cohort was under age 45 at the time of joining the cohort. Compared to older women, women under age 45 were more likely to be of non-white race/ethnicity, to ever have used oral contraceptives, and to be nulliparous, non-smokers, non- or light alcohol drinkers, taller, and engage in recreational physical activity. Among older women, over 50% had used hormone therapy.

Table 1.

Characteristics of the California Teachers Study cohort included in the present analysis (n=117,646)

Age at baseline

All women <45 years ≥45 years



N % N % N %
Age (yrs) at baseline
    <35 12,737 11% 12,737 37%
    35–44 21,437 18% 21,437 63%
    45–54 36,399 31% 36,399 44%
    55–64 23,440 20% 23,440 28%
    65–74 17,822 15% 17,822 21%
    ≥75 5,811 5% 5,811 7%
Race/ethnicity
    white, non-Latina 101,549 86% 27,789 81% 73,760 88%
    non-white (including Latina) 15,172 13% 6,157 18% 9,015 11%
    not stated 925 1% 228 1% 697 1%
Family history of thyroid cancer (1st degree relative)
    yes 1,605 1% 418 1% 1,187 1%
    no 112,394 96% 32,572 95% 79,822 96%
    adopted / missing 3,647 3% 1,184 3% 2,463 3%
Age at menarche (yrs)
    <12 26,480 23% 7,409 22% 19,071 23%
    12–13 66,049 56% 19,588 57% 46,461 56%
    ≥14 23,513 20% 6,892 20% 16,621 20%
    never menstruated / missing 1,604 1% 285 1% 1,319 2%
Adolescent cycle length and time to regular menstruation
    ≤30 days 93,089 79% 25,936 76% 67,153 80%
    >30 days
      irregular periods <5 yrs 9,204 8% 3,483 10% 5,721 7%
      irregular periods ≥5 yrs 2,931 2% 1,115 3% 1,816 2%
    never had regular periods 7,627 6% 2,409 7% 5,218 6%
    never menstruated / missing 4,795 4% 1,231 4% 3,564 4%
Oral contraceptive use
    never 35,370 30% 5,664 17% 29,706 36%
    <5 yrs duration 35,147 30% 12,496 37% 22,651 27%
    ≥5 yrs duration 40,410 34% 14,235 42% 26,175 31%
    never menstruated / missing 6,719 6% 1,779 5% 4,940 6%
Menopausal status and HTa use
    pre-menopausal 47,854 41% 32,024 94% 15,830 19%
    peri-/post-menopausal
      never used HT 13,880 12% 220 1% 13,660 16%
      used E-onlya 17,918 15% 392 1% 17,526 21%
      used E+P onlya 20,895 18% 433 1% 20,462 25%
      other HT use 7,576 6% 112 <1% 7,464 9%
    never menstruated / missing 9,523 8% 993 3% 8,530 10%
Outcome of first pregnancy
    full-term birth 70,055 60% 14,773 43% 55,282 66%
    miscarriage 9,547 8% 2,601 8% 6,946 8%
    abortion 10,870 9% 5,812 17% 5,058 6%
    ectopic 596 1% 199 1% 397 <1%
    currently primigravid 157 <1% 156 <1% 1 <1%
    never pregnant 23,818 20% 9,979 29% 13,839 17%
    missing 2,603 2% 654 2% 1,949 2%
Parity
    nulliparous 30,909 26% 13,407 39% 17,502 21%
    1–2 56,054 48% 16,281 48% 39,773 48%
    ≥3 28,587 24% 4,002 12% 24,585 29%
    missing 2,096 2% 484 1% 1,612 2%
Age at first full-term pregnancy (yrs)
    <25 30,966 26% 4,428 13% 26,538 32%
    25–29 34,376 29% 9,109 27% 25,267 30%
    ≥30 19,298 16% 6,745 20% 12,553 15%
    nulliparous 30,909 26% 13,407 39% 17,502 21%
    missing 2,097 2% 485 1% 1,612 2%
Years since last pregnancy
     ≤5 (including currently pregnant) 11,594 10% 11,020 32% 574 1%
    >5 80,132 68% 12,688 37% 67,444 81%
    never pregnant 23,818 20% 9,979 29% 13,839 17%
    missing 2,102 2% 487 1% 1,615 2%
Smoking
    ever 39,681 34% 6,771 20% 32,910 39%
    never 77,285 66% 27,236 80% 50,049 60%
    missing 680 1% 167 <1% 513 1%
Alcohol consumption (g/d)
    none 37,230 32% 11,437 33% 25,793 31%
    <10 40,829 35% 12,530 37% 28,299 34%
    ≥10 33,675 29% 8,141 24% 25,534 31%
    missing 5,912 5% 2,066 6% 3,846 5%
Average lifetime physical activityb
    inactive 19,665 17% 2,730 8% 16,935 20%
    active 97,316 83% 31,347 92% 65,969 79%
    missing 665 1% 97 <1% 568 1%
Height (inches)
    <65 56,241 48% 14,901 44% 41,340 50%
    66–67 32,039 27% 9,111 27% 22,928 27%
    ≥67 29,001 25% 10,115 30% 18,886 23%
    missing 365 <1% 47 <1% 318 <1%
a

HT: hormone therapy; E-only: estrogen-only; E+P: estrogen plus progesterone

b

based on average lifetime (high school to age 54) strenuous and moderate activity: ≤1 hr/wk (inactive) vs. >1 hr/wk (active)

Table 2 presents the associations between menstrual factors, use of oral contraceptives (OC), hormone therapy (HT), and papillary thyroid cancer risk. Later menarche was associated with increased risk of papillary thyroid cancer among younger women (RR=1.88, 95% CI: 1.13–3.13 for age ≥14 compared to <14 years), but not among older women (RR=1.01, 95% CI: 0.69–1.48, pinteraction=0.06). Younger women who reported experiencing longer (>30 days) menstrual cycles during adolescence were also at greater risk (RR=1.78, 95% CI: 1.01–3.14) than those reporting shorter cycles, but no such association was observed among older women (RR=1.21, 95% CI: 0.75–1.95, pinteraction=0.36). Additional adjustment for body mass index at age 18 did not affect these estimates. Joint examination of the timing of menarche and adolescent cycle length among younger women showed that, compared to women with earlier menarche and shorter cycle length, women who experienced later menarche and had longer cycle length were at increased risk of papillary thyroid cancer (RR=3.78, 95% CI: 1.67–8.56), whereas women with later menarche and shorter cycle length (RR=1.61, 95% CI: 0.85–3.06) or women with earlier menarche and longer cycle length (RR=1.34, 95% CI: 0.62–2.90) were not. However, the interaction between age at menarche and cycle length was not statistically significant (pinteraction=0.37). To further examine the effects of irregular menstrual periods during adolescence, we constructed a variable reflecting both cycle length and how quickly a girl’s periods became regular following menarche (Table 2). Among women reporting an adolescent cycle length of 30 days or less, 94% reported having regular periods within five years of menarche. Among women with longer adolescent cycles, those whose cycles continued to be irregular for more than five years were at increased risk of developing papillary thyroid cancer (RR=1.92, 95% CI: 1.07–3.47); this finding was similar for both younger and older women. However, women who reported never having had regular cycles were not at substantially increased risk.

Table 2.

Menstrual factors, hormone use, and papillary thyroid cancer risk in the California Teachers Study cohort.

Age at baseline

All women <45 years ≥ 45 years



Cases RRa,b 95% CIa Cases RRb 95% CI Cases RRb 95% CI
Age at menarche (yrs)c
    <14 174 1.0 46 1.0 128 1.0
    ≥14 56 1.24 0.91 – 1.68 23 1.88 1.13 – 3.13 33 1.01 0.69 – 1.48
Adolescent cycle length and time to regular menstruationd
    ≤30 days 174 1.0 48 1.0 126 1.0
    >30 days 36 1.42 0.99 – 2.03 16 1.78 1.01 – 3.14 20 1.21 0.75 – 1.95
      irregular periods <5 yrs 23 1.23 0.80 – 1.91 11 1.69 0.87 – 3.26 12 0.99 0.54 – 1.79
      irregular periods ≥5 yrs 12 1.92 1.07 – 3.47 5 2.12 0.84 – 5.37 7 1.76 0.82 – 3.78
    never had regular periodse 16 1.15 0.69 – 1.93 5 0.98 0.38 – 2.48 11 1.23 0.66 – 2.28
Oral contraceptive usec,d
    never 56 1.0 9 1.0 47 1.0
    ever 170 1.06 0.75 – 1.50 61 1.51 0.73 – 3.11 109 0.90 0.60 – 1.36
      <5 yrs duration 88 1.22 0.83 – 1.78 32 1.80 0.84 – 3.84 56 1.02 0.65 – 1.60
      ≥5 yrs duration 78 0.95 0.64 – 1.40 29 1.40 0.65 – 3.04 49 0.78 0.49 – 1.25
Menopausal status and HT usea,c,d
    pre-menopausal 51 1.64 0.84 – 3.18
    peri-/post-menopausal
      never used HT 16 1.0
      only used E alonea 33 1.68 0.92 – 3.05
      only used E+Pa 30 1.07 0.57 – 1.98
      used both types of HT 14 1.71 0.83 – 3.51
a

RR: relative risk; CI: confidence interval; HT: hormone therapy; E-only: estrogen-only; E+P: estrogen plus progesterone.

b

adjusted for race/ethnicity, family history of thyroid cancer, time since last pregnancy, smoking, alcohol consumption, physical inactivity, height; age was the time-scale and analyses were stratified by age at baseline.

c

also adjusted for adolescent cycle length and time to regular menstruation.

d

also adjusted for age at menarche.

e

women who reported never having regular periods were not asked about adolescent cycle length.

Among younger women, oral conceptive use, and among older women, use of estrogen-alone therapy (ET), but not combined estrogen-progesterone therapy (EPT), were associated with some elevation in risk of papillary thyroid cancer; however, these estimates did not reach statistical significance (Table 2). For OC use, no trend was observed by duration of use (Table 2) or recency of use (data not shown). Since the prescription of ET alone is often restricted to women who have had an oophorectomy, we additionally evaluated the risk of thyroid cancer due to HT by adjusting for and stratifying by oophorectomy status to assess confounding and effect modification, respectively. Neither of these procedures substantially changed the risk estimates associated with the various types of HT use, although the number of cases with oophorectomy was small and the risk estimates in this stratum were unstable (data not shown). Combining those who used only ET with those who used ET followed by EPT, the RR for ever use of ET was 1.69 (95% CI: 0.95–2.98). Among younger women, but not older women, having had an oophorectomy (either unilateral or bilateral) was associated with a statistically non-significant elevation in risk (RR=2.02, 95% CI: 0.79–5.15 and RR=1.03, 95% CI: 0.70–1.53 for women age <45 and ≥45 at baseline, respectively; pinteraction=0.20). Among older women, those who were premenopausal at baseline were also at a statistically non-significant increased risk (RR=1.64, 95% CI: 0.84–3.18; Table 2).

Table 3 presents the associations between reproductive history and papillary thyroid cancer. Most factors were not associated with risk in either minimally-adjusted or fully-adjusted models. Among younger women (i.e., those of reproductive age at baseline), however, we observed a statistically significant increased risk among those whose last pregnancy had ended within five years of cohort enrollment (RR=2.28, 95% CI: 1.16–4.45), relative to those whose pregnancies had occurred further in the past. Splitting follow-up time into two periods, <7 and ≥7 yrs, the effects associated with a recent pregnancy were generally similar for the earlier and later follow-up periods (RR=2.53, 95% CI: 0.95–6.77 and RR=2.07, 95% CI: 0.82–5.22, respectively). Due to small numbers, we were unable to examine these associations within finer subgroups defined by either age at baseline or follow-up time.

Table 3.

Reproductive factors and papillary thyroid cancer risk in the California Teachers Study cohort.

Age at baseline

All women <45 years ≥ 45 years



Cases RRa,b 95% CIa Cases RRb 95% CI Cases RRb 95% CI
Outcome of first pregnancy
    full-term birth 137 1.0 30 1.0 107 1.0
    miscarriage 20 1.04 0.65 – 1.67 5 1.03 0.40 – 2.66 15 1.07 0.62 – 1.83
    abortion 23 1.05 0.67 – 1.66 11 1.06 0.52 – 2.13 12 1.08 0.59 – 1.99
    never pregnant 48 1.02 0.72 – 1.43 23 1.20 0.66 – 2.16 25 0.91 0.59 – 1.42
Parityc
    nulliparous 59 0.73 0.39 – 1.36 29 1.08 0.45 – 2.60 30 0.58 0.24 – 1.44
    1–2 126 1.0 34 1.0 92 1.0
    ≥3 47 0.81 0.57 – 1.14 7 0.82 0.36 – 1.87 40 0.78 0.53 – 1.14
Age at first full-term pregnancy (yrs)c
    <25 60 1.08 0.76 – 1.53 7 0.95 0.39 – 2.31 53 1.08 0.73 – 1.59
    25–29 70 1.0 19 1.0 51 1.0
    ≥30 43 1.00 0.68 – 1.48 15 0.93 0.46 – 1.90 28 1.01 0.63 – 1.61
    nulliparous 59 0.79 0.41 – 1.49 29 1.08 0.43 – 2.74 30 0.65 0.26 – 1.63
Years since last pregnancyd
    ≤5 (including currently pregnant) 29 2.28 1.16 – 4.45
     >5 18 1.0
    never pregnant 23 1.92 0.96 – 3.84
a

RR: relative risk; CI: confidence interval;

b

adjusted for race/ethnicity, family history of thyroid cancer, age at menarche, adolescent cycle length and time to regular menstruation, smoking, alcohol consumption, physical inactivity, and height; age was the time-scale and analyses were stratified by age at baseline.

c

also adjusted for years since last pregnancy.

d

relative to completion of the baseline questionnaire.

Discussion

In this prospective study, we observed independent associations between papillary thyroid cancer and hormonal exposures during adolescence and early adulthood, including later age at menarche, longer menstrual cycle length during adolescence, and a recent pregnancy among younger women. Similar associations were not observed among older women, although risk was somewhat elevated among women who ever used menopausal ET, a finding that was not attributable to having had an oophorectomy.

The substantially greater incidence of thyroid cancer in women compared to men and the peak incidence during the reproductive years in women has led to the investigation of the influence of menstrual and reproductive events in several previous studies, including the international pooled analysis of 14 case-control studies with data on almost 1800 women with papillary thyroid cancer (15). Individually, the studies included in this pooled analysis had found conflicting and often weak results. However, it had been observed that aspects of pubertal development and, particularly among younger women (age<45 years), parity increased a woman’s risk of developing thyroid cancer in most studies (68, 11, 12). In the pooled analysis, weak associations were observed between increased thyroid cancer risk and later age at menarche, having had a miscarriage (particularly as the outcome of the first pregnancy), and having had a full-term pregnancy, but no association was observed for age at first and last birth (5). More recent studies have consistently suggested that the critical aspect of parity may be an elevation in risk during the five years following a pregnancy, particularly when a subsequent pregnancy occurs during that period, but with risk diminishing thereafter (811). The findings from this prospective study are consistent with these observations and demonstrate that several aspects of pubertal development have independent effects on risk.

Later age at menarche has been associated with irregular and anovulatory menstrual cycles (16). Both later menarche and irregular cycle length have been associated with increased risk of thyroid cancer (5, 7, 10), although when examined by age, the elevated risk associated with later age at menarche has been largely found among older (age ≥45 years) women (8, 12) while the risk for irregular cycles has been more consistently observed for younger women (6, 12). We found both later menarche and longer adolescent cycle length to be independently related to risk in women who were under age 45 years at baseline. The independence of the two factors in our findings suggests that later age at menarche may reflect an impact on risk other than through cycle length. Our menarche finding is consistent with a recently published cohort study of thyroid cancer in radiologic technicians, most of whom were younger than age 50 years at cohort entry (17). To the extent that longer cycle length in adolescence is related to irregular cycles, our finding is consistent with the majority of the available literature. Our results for irregular periods, however, are mixed: women whose periods became regular more than five years after menstruation began were at increased risk of thyroid cancer while those whose periods never became regular were not. Whether this is indicative of a perception or reporting difference or reflective of biologic differences is not clear.

Thyroid volume and thyroid stimulating hormone levels vary across the menstrual cycle, however, how these changes relate to thyroid carcinogenesis remains unclear (1820). Increased thyroid volume has been associated with later age at menarche and diminished progesterone levels in adolescent girls (21). Irregular cycles are characterized by an increase in the length of the follicular (pre-ovulatory) phase of the cycle and a progesterone deficit related to a lack of the normal progesterone surge that occurs during the luteal (post-ovulatory) phase (22). Thus, the menstrual-related papillary thyroid cancer risk factors observed in the present study are consistent with the hypothesis that reduced progesterone exposure may increase thyroid cancer risk.

Recent pregnancy has been associated with increased risk of thyroid cancer in our study as well as others (811). While both estrogen and progesterone increase substantially throughout pregnancy, the progesterone-to-estrogen ratio is highest during the first trimester and significant between-group variation has been observed. Potischman et al. (23) found that, compared to white women, African American women (who experience substantially lower thyroid cancer rates than white women during the reproductive years) had higher levels of progesterone during the first trimester of pregnancy but estradiol and estrone levels did not differ between the two groups. These observations are generally consistent with the hypothesis that reduced thyroid cancer risk is associated with a higher progesterone, although the progesterone-to-estrogen ratio may be equally or more important. Our findings in older women of increased risk with ET use, but not EPT use, also support the progesterone-to-estrogen ratio hypothesis. In older women where endogenous hormones are at substantially lower levels than earlier in life, exogenous hormones may have greater influence. The use of EPT would thus increase both estrogen and progesterone levels while the use of ET would increase only estrogen levels, thus, reducing the progesterone-to-estrogen ratio and increasing thyroid cancer risk. Previous research on the association between HT and thyroid cancer risk have generally been null, however, none of the prior studies have evaluated type of HT preparation (6, 9, 11, 12, 17, 2427).

In-vitro studies using papillary thyroid cancer cell lines have shown that exposure to estradiol increases cell proliferation via the estrogen receptor (ER), whereas the addition of tamoxifen, an antiestrogen, halts proliferation (28). Thyroid tissue is responsive to steroid hormones. Estrogen and progesterone receptors have been identified in papillary thyroid tumors and normal thyroid tissue (29) and ERα has been shown to be more highly expressed in papillary thyroid cancer in younger women than in older women, men, or in normal thyroid tissue (30). Based on the risk factor patterns observed in the present study, particularly the risk associated with a recent pregnancy and use of menopausal ET, the influence of steroid hormones on the development of thyroid cancer may be most important in the later, promotional stage of carcinogenesis (31).

Strengths of this study include its prospective nature which minimizes any recall bias and the examination of both standard measures of menstrual and reproductive events as well as more detailed variables, such as characteristics of adolescent menstrual cycles. Limitations include the relatively small number of papillary thyroid cancer cases (n=233). However, due to the design of our cohort, which included a substantial number of women under the age of 45 compared to most other cohorts that recruited only women over that age, we were able to prospectively evaluate thyroid cancer risk factors in this group of high-risk women. Another limitation is lack of information on pregnancies occurring after enrollment. However, our analysis of the effects of recency of pregnancy at baseline by length of follow-up (<7 vs ≥7 yrs) serves to partially address this issue.

Two areas of potential bias should also be noted. It is also possible that greater medical attention during pregnancy may result in thyroid tumors being diagnosed during this period that would have gone undiagnosed otherwise. While we have no information on how tumors came to light in the present study, the similar relative risks for recency of pregnancy regardless of follow-up period also provides evidence that surveillance bias is not the sole reason for this finding. In addition, in our previous case-control study we found that the relative risk associated with the number of pregnancies occurring within the previous five years was stronger for women who first found the tumor themselves as opposed to tumors which were first found by a physician (11). There is also concern that greater reporting errors between by older women may result in differential misclassification by age group influencing our age-specific findings for menstrual factors and OC use. While we found several menstrual-related factors (i.e., age at menarche, cycle length, and OC use) to be more strongly associated with risk in younger women than older women, we found similar relative risks for both age groups associated with the time until regular menstruation was established. It is unlikely that reporting of this latter factor among older women would be more accurate than the former factors; thus, providing some evidence that our age group differences are not solely due to misclassification error. In addition, while the findings for age at menarche by age group are mixed, studies that have examined irregular menstruation and OC use have generally found these effects to be stronger in younger women (6, 12, 24).

Finally, while missing data for most of the variables of interest was small, we conducted sensitivity analyses for those factors for which missing data was 4% or greater. We observed <10% change in the relative risks for adolescent cycle length and time to regular menstruation. While changes in the relative risks for ever use of oral contraceptives and the use of various HT preparations were larger (23% and 13%–14%, respectively, when assuming that all missing data were in truth never users of these compounds), the observed patterns remained quite similar to those reported and our conclusions regarding the effects of these compounds on risk did not change.

In summary, the increasing incidence of thyroid cancer serves to underscore the public health importance of identifying factors which may predispose young women to developing this cancer. The findings from this prospective analysis suggest that several factors related to delayed pubertal development and the transient effects of pregnancy may be particularly important in influencing risk. Together they point to the likely importance of a progesterone deficit or equivalently, of estrogen unopposed by progesterone, in the etiology of papillary thyroid cancer.

Acknowledgments

The authors would like to thank the CTS Steering Committee who are responsible for the formation and maintenance of the cohort.

Grant Support

This research was supported by grants R03 CA125819 and R01 CA77398 from the National Cancer Institute and contract 97-10500 from the California Breast Cancer Research Fund. The funding sources did not contribute to the design or conduct of the study, nor to the writing or submission of this manuscript.

The collection of cancer incidence data used in this study was supported by the California Department of Health Services as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885; the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contract N01-PC-35136 awarded to the Cancer Prevention Institute of California (formerly the Northern California Cancer Center), contract N01-PC-35139 awarded to the University of Southern California, and contract N02-PC-15105 awarded to the Public Health Institute; and the Centers for Disease Control and Prevention’s National Program of Cancer Registries, under agreement #U55/CCR921930-02 awarded to the Public Health Institute. The ideas and opinions expressed herein are those of the authors and endorsement by the State of California, Department of Health Services, the National Cancer Institute, and the Centers for Disease Control and Prevention or their contractors and subcontractors is not intended nor should be inferred.

Footnotes

Conflict of Interest: None

References

  • 1.Horner MJ, Ries LAG, Krapcho M, Neyman N, Aminou R, Howlander N, et al. SEER Cancer Statistics Review, 1975–2006, http://seer.cancer.gov/csr/1975_2006/, based on November 2008 SEER data submission, posted to the SEER website. 2009
  • 2.Franceschi S, Preston-Martin S, Dal Maso L, Negri E, La Vecchia C, Mack WJ, et al. A pooled analysis of case-control studies of thyroid cancer. IV. Benign thyroid diseases. Cancer Causes Control. 1999;10:583–595. doi: 10.1023/a:1008907227706. [DOI] [PubMed] [Google Scholar]
  • 3.Horn-Ross P, Morris J, Lee M, West D, Whittemore A, McDougall I, et al. Iodine and thyroid cancer risk among women in a multiethnic population: The Bay Area Thyroid Cancer Study. Cancer Epidemiol Biomark Prev. 2001;10:979–986. [PubMed] [Google Scholar]
  • 4.Preston-Martin S, Franceschi S, Ron E, Negri E. Thyroid cancer pooled analysis from 14 case-control studies: what have we learned? Cancer Causes Control. 2003;14:787–789. doi: 10.1023/a:1026312203045. [DOI] [PubMed] [Google Scholar]
  • 5.Negri E, Dal Maso L, Ron E, La Vecchia C, Mark SD, Preston-Martin S, et al. A pooled analysis of case-control studies of thyroid cancer II: Menstrual and reproductive factors. Cancer Causes Control. 1999;10:143–155. doi: 10.1023/a:1008880429862. [DOI] [PubMed] [Google Scholar]
  • 6.Mack WJ, Preston-Martin S, Bernstein L, Qian D, Xiang M. Reproductive and hormonal risk factors for thyroid cancer in Los Angeles County females. Cancer Epidemiol Biomarkers Prev. 1999;8:991–997. [PubMed] [Google Scholar]
  • 7.Zivaljevic V, Vlajinac H, Jankovic R, Marinkovic J, Dzodic R, Sipeti Grujii S, et al. Case-control study of female thyroid cancer - menstrual, reproductive and hormonal factors. Eur J Cancer Prev. 2003;12:63–66. doi: 10.1097/00008469-200302000-00010. [DOI] [PubMed] [Google Scholar]
  • 8.Brindel P, Doyon F, Rachedi F, Boissin J-L, Sebbag J, Shan L, et al. Menstrual and reproductive factors in the risk of differentiated thyroid carcinoma in native women in French Polynesia: a population-based case-control study. Am J Epidemiol. 2008;15:219–229. doi: 10.1093/aje/kwm288. [DOI] [PubMed] [Google Scholar]
  • 9.Memon A, Darif M, Al-Saleh K, Suresh A. Epidemiology of reproductive and hormonal factors in thyroid cancer: evidence from a case-control study in the Middle East. Int J Cancer. 2002;97:82–89. doi: 10.1002/ijc.1573. [DOI] [PubMed] [Google Scholar]
  • 10.Rossing MA, Voigt LF, Wicklund KG, Daling JR. Reproductive factors and risk of papillary thyroid cancer in women. Am J Epidemiol. 2000;151:765–772. doi: 10.1093/oxfordjournals.aje.a010276. [DOI] [PubMed] [Google Scholar]
  • 11.Sakoda LC, Horn-Ross PL. Reproductive and menstrual history and papillary thyroid cancer risk: the San Francisco Bay Area Thyroid Cancer Study. Cancer Epidemiol Biomarkers Prev. 2002;11:51–57. [PubMed] [Google Scholar]
  • 12.Truong T, Orsi L, Dubourdieu D, Rougier Y, Hemon D, Guenel P. Role of goiter and of menstrual and reproductive factors in thyroid cancer: a population-based case-control study in New Caledonia (South Pacific), a very high incidence area. Am J Epidemiol. 2005;161:1056–1065. doi: 10.1093/aje/kwi136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bernstein L, Anton-Culver H, Deapen D, Horn-Ross PL, Peel D, Reynolds P, et al. High breast cancer rates among California teachers: Results from the California Teachers Study Cohort. Cancer Causes Control. 2002;13:625–635. doi: 10.1023/a:1019552126105. [DOI] [PubMed] [Google Scholar]
  • 14.Kwong SL, Perkins CI, Morris CR, Cohen R, Allen M, Schlag R, et al. Cancer in California: 1988–1998. Sacramento, CA: California Department of Health Services, Cancer Surveillance Section; 2000. Dec, [Google Scholar]
  • 15.Negri E, Ron E, Franceschi S, Dal Maso L, Mark SD, Preston-Martin S, et al. A pooled analysis of case-control studies of thyroid cancer. I. Methods. Cancer Causes Control. 1999;10:131–142. doi: 10.1023/a:1008851613024. [DOI] [PubMed] [Google Scholar]
  • 16.Apter D, Vihko R. Early menarche, a risk factor for breast cancer, indicates early onset of ovulatory cycles. J Clin Endocrinol Metab. 1983;57:82–86. doi: 10.1210/jcem-57-1-82. [DOI] [PubMed] [Google Scholar]
  • 17.Meinhold CL, Ron E, Schonfeld SJ, Alexander BH, Freedman DM, Linet MS, et al. Nonradiation risk factors for thyroid cancer in the US Radiologic Technologists Study. Am J Epidemiol. 2010;171:242–252. doi: 10.1093/aje/kwp354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.De Remigis P, Raggiunti B, Nepa A, Giandonato S, Faraone G, Sensi S. Thyroid volume variation during the menstrual cycle in healthy subjects. Prog Clin Biol Res. 1990;341A:169–173. [PubMed] [Google Scholar]
  • 19.Hegedus L, Karstrup S, Rasmussen N. Evidence of cyclic alterations of thyroid size during the menstrual cycle in healthy women. Am J Obstet Gynecol. 1986;155:142–145. doi: 10.1016/0002-9378(86)90098-0. [DOI] [PubMed] [Google Scholar]
  • 20.Ron E, Schneider AB. Thyroid cancer. In: Schottenfeld D, Fraumeni JF, editors. Cancer Epidemiology and Prevention. Oxford University Press; 2006. pp. 975–994. [Google Scholar]
  • 21.Zagrodzki P, Ratajczak R, Wietecha-Posluszny R. The interaction between selenium status, sex hormones, and thyroid metabolism in adolescent girls in the luteal phase of their menstrual cycle. Biol Trace Elem Res. 2007;120:51–60. doi: 10.1007/s12011-007-8012-8. [DOI] [PubMed] [Google Scholar]
  • 22.Pike M, Spicer D, Danmoush L, Press M. Estrogens, progestogens, normal breast cell proliferation, and breast cancer risk. Epidemiol Rev. 1993;15:17–35. doi: 10.1093/oxfordjournals.epirev.a036102. [DOI] [PubMed] [Google Scholar]
  • 23.Potischman N, Troisi R, Thadhani R, Hoover RN, Dodd K, Davis WW, et al. Pregnancy hormone concentrations across ethnic groups: implications for later cancer risk. Cancer Epidem Biomarkers Prev. 2005;14:1514–1520. doi: 10.1158/1055-9965.EPI-04-0869. [DOI] [PubMed] [Google Scholar]
  • 24.La Vecchia C, Ron E, Franceschi S, Dal Maso L, Mark SD, Chatenoud L, et al. A pooled analysis of case-control studies of thyroid cancer. III. Oral contraceptives, menopausal replacement therapy and other female hormones. Cancer Causes Control. 1999;10:157–166. doi: 10.1023/a:1008832513932. [DOI] [PubMed] [Google Scholar]
  • 25.Iribarren C, Haselkorn T, Tekawa IS, Friedman GD. Cohort study of thyroid cancer in a San Francisco Bay area population. Int J Cancer. 2001;93:745–750. doi: 10.1002/ijc.1377. [DOI] [PubMed] [Google Scholar]
  • 26.Navarro Silvera SA, Miller AB, Rohan TE. Risk factors for thyroid cancer: a prospective cohort study. Int J Cancer. 2005;116:433–438. doi: 10.1002/ijc.21079. [DOI] [PubMed] [Google Scholar]
  • 27.Pham T-M, Fujino Y, Mikami H, Okamoto N, Hoshiyama Y, Tamakoshi A, et al. Reproductive and menstrual factors and thyroid cancer among Japanese women: the Japan Collaborative Cohort Study. 18. 2009:331–335. doi: 10.1089/jwh.2008.1038. [DOI] [PubMed] [Google Scholar]
  • 28.Lee ML, Chen GG, Vlantis AC, Tse GMK, Leung BCH, van Hasselt CA. Induction of thyroid papillary carcinoma cell proliferation by estrogen is associated with an altered expression of Bcl-xL. Cancer J. 2005;11:113–121. doi: 10.1097/00130404-200503000-00006. [DOI] [PubMed] [Google Scholar]
  • 29.Lewy-Trenda I. Estrogen and progesterone receptors in neoplastic and non-neoplastic thyroid lesions. Pol J Pathol. 2002;53:67–72. [PubMed] [Google Scholar]
  • 30.Kawabata W, Suzuki T, Moriya T, Fujimori K, Naganuma H, Inoue S, et al. Estrogen receptors (alpha and beta) and 17beta-hydroxysteroid dehydrogenase type 1 and 2 in thyroid disorders: possible in situ estrogen synthesis and actions. Mod Pathol. 2003;16:437–444. doi: 10.1097/01.MP.0000066800.44492.1B. [DOI] [PubMed] [Google Scholar]
  • 31.Franceschi S, Dal Maso L. Hormonal imbalances and thyroid cancers in humans. Lyon: International Agency for Research on Cancer; 1999. IARC Scientific Publication No. 147. [PubMed] [Google Scholar]

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