Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2012 Dec 1.
Published in final edited form as: Cancer Epidemiol. 2011 Aug 17;35(6):e85–e90. doi: 10.1016/j.canep.2011.05.009

Hormonal and reproductive factors and risk of postmenopausal thyroid cancer in the NIH-AARP Diet and Health Study

SJ Schonfeld 1, E Ron 1,*, CM Kitahara 1, A Brenner 1, Y Park 1, AJ Sigurdson 1, A Schatzkin 1,*, A Berrington de González 1
PMCID: PMC3215902  NIHMSID: NIHMS320963  PMID: 21852218

Abstract

Background

Worldwide, thyroid cancer incidence rates are higher among women than men. While this suggests a possible etiologic role of female sex hormones, clear associations between hormonal and reproductive factors and thyroid cancer have not been observed. However, few large prospective studies have been conducted.

Methods

Hazard ratios (HRs) and 95% confidence intervals (CIs) for hormonal and reproductive factors and incident thyroid cancer were estimated using Cox regression methods in the prospective US NIH-AARP Diet and Health Study. Between 1995 and 2006, 312 first primary incident thyroid cancers were diagnosed among 187 865 postmenopausal women ages 50-71 at baseline.

Results

Thyroid cancer was not associated with ages at menarche or menopause, menopause type, or parity. Oral contraceptive use for ≥10 years (vs. never use) was inversely associated with thyroid cancer risk (HR, 0.48; 95%CI, 0.28-0.84; Ptrend=0.01). Women who reported current menopausal hormone therapy at baseline had an increased thyroid cancer risk vs. never users (HR 1.38; 95% CI: 1.07-1.79) but there was no trend with increasing duration of use. Women with benign breast disease (BBD) had a significantly higher thyroid cancer risk vs. women without BBD (HR, 1.47; 95% CI, 1.09-1.99).

Conclusions

Our results do not support a strong role for female hormonal and reproductive factors including ages at menarche and menopause, type of menopause or parity, in thyroid cancer etiology among postmenopausal women. Compared with previous studies, no clear patterns emerge for exogenous hormone use but further analysis in large, prospective populations may be informative. The HR for BBD is consistent with the one previous prospective analysis that examined this association.

Keywords: thyroid/endocrine-related cancer, postmenopausal, reproductive, hormonal and related risk factors, benign breast disease

Introduction

The incidence of thyroid cancer in the U.S. is increasing steadily [1] and there are few established risk factors beyond radiation and benign thyroid disease [2]. Higher thyroid cancer incidence rates among women compared with men worldwide [3] suggest a possible etiologic role of female sex hormones. In the U.S., the sex incidence rate ratio remains significantly above one until the eighth decade [4]. Additionally, thyroid gland volume increases during puberty [5] and sometimes during pregnancy [6] and fluctuates throughout the menstrual cycle [7]. Thyroid cancer cells express estrogen receptors and estradiol stimulates proliferation of papillary thyroid cancer cells in vitro [8].

Epidemiologic studies have not found consistent associations between hormonal and reproductive factors and thyroid cancer risk [2, 9-14]. These data are primarily based on case-control studies, including a large, pooled analysis of 14 case-control studies [11, 12, 15]. Few cohort studies [9, 10, 13, 14] have had sufficient numbers of thyroid cancers to prospectively analyze hormonal and reproductive risk factors, particularly among postmenopausal women. In the U.S., the largest increases in papillary thyroid cancer rates among women between 1980 and 2005 occurred among 60-79 year olds [16]. We evaluated whether hormonal and reproductive factors are associated with thyroid cancer risk among 187 865 postmenopausal women in the prospective US NIH-AARP (formerly known as the American Association of Retired Persons) Diet and Health Study (NIH-AARP).

Materials and methods

Study population

NIH-AARP [17] was established in 1995-1996 when 3.5 million AARP members ages 50-71 were mailed a self-administered questionnaire eliciting information on demographic and anthropometric characteristics, dietary intake, and numerous health-related behaviors. Participants were recruited from six U.S. states (California, Florida, Louisiana, New Jersey, North Carolina, and Pennsylvania) and two metropolitan areas (Atlanta, Georgia, and Detroit, Michigan). A second questionnaire was sent to participants in 1996-1997 seeking additional risk factor information.

From the baseline cohort of 226 732 women, we excluded women who used a proxy respondent (n=1265), women who completed a questionnaire but died or were diagnosed with any cancer other than non-melanoma skin cancer (NMSC) before the questionnaire was scanned (n = 23 935), as well as women who were premenopausal or had unknown menopausal status (n=9426). A woman was considered postmenopausal if she provided an age at last menstrual period, reported that her periods stopped due to natural menopause, surgery, radiation or chemotherapy, and did not have any conflicting data. Women who did not provide an age at last menstrual period but met the other two conditions were also classified as postmenopausal. Women who did not meet these criteria but were at least 57 and provided an age at last menstrual period or at least one reason for periods stopping or indicated use of postmenopausal hormones were also considered postmenopausal. Additionally, women ≤57 years who reported a bilateral oophorectomy or hysterectomy and either provided an age at last menstrual period or indicated that their periods had stopped were presumed to be postmenopausal as were women ≤57 years who indicated they were still menstruating but that their periods had stopped due to natural menopause and reported postmenopausal hormone therapy use. We further excluded women who reported at baseline that their periods had stopped due to radiation or chemotherapy or were missing information about cause of menopause (n=4241). The final baseline analytic sample consisted of 187 865 women; 119 257 women also completed the second questionnaire. The study was approved by the Special Studies Institutional Review Board of the National Cancer Institute.

Ascertainment of exposure and covariate information

At baseline, participants reported on ages at first (≤10, 11-12, 13-14, ≥15 years) and last menstrual period (<40, 40-44, 45-49, 50-54, ≥55, still menstruating), reason why periods stopped (periods did not stop, natural menopause, surgery, radiation or chemotherapy), parity (number of live births (none, 1, 2, 3-4, 5-9, ≥10) and age at first live birth (never gave birth, <16, 16-19, 20-24, 25-29, 30-34, 35-39, ≥40 years), oral contraceptive (OC) use (never or <1 year, 1-4, 5-9, ≥10 years), and menopausal hormone therapy (MHT) use (current use (yes, no), duration of use (never, <5, 5-9, ≥10 years)). There were also questions about hysterectomy and oophorectomy. Potential confounders of interest for the present study were also collected at baseline: race, education, current smoking status, height, weight, and typical alcohol consumption in the last year. The second questionnaire included a question about history of benign breast disease (BBD) which was associated with an increased risk of thyroid cancer in a recent cohort study [13]. Specifically, women were asked whether a doctor ever told them they had benign breast lumps or fibrocystic breast disease. The second questionnaire also asked about the type of MHT used (e.g., estrogen only vs. combined estrogen plus progestin).

Cohort follow-up and outcome ascertainment

Study participants are followed annually for change of address by matching the cohort database to that of the National Change of Address (NCOA) maintained by the U.S. Postal Service (USPS). Additionally, address change information is obtained from other sources including receipt of USPS processing of undeliverable mail, other address change update services, and communication from participants. Vital status is ascertained by annual linkage to the Social Security Administration Death Master File (SSA DMF) on deaths in the U.S., follow-up searches of the National Death Index (NDI) for subjects that match to the SSA DMF, cancer registry linkage, questionnaire responses, and responses to other mailings. The loss-to-follow-up rate in the study is approximately 5%.

First primary incident cases of thyroid cancer diagnosed between 1995 and 2006 were identified by probabilistic linkage between the study roster and ten state cancer registry databases estimated to be 90% complete within two years of cancer incidence and certified by the North American Association of Central Cancer Registries for meeting the highest standard of data quality. Total thyroid cancer (C73.9) was broken down by histologic type using the following International Classification of Diseases for Oncology, Third Edition morphology codes: papillary (8050, 8052, 8130, 8260, 8340, 8341, 8342, 8343, 8344, 8450, 8452); follicular (8290, 8330, 8331, 8332, 8335); medullary (8345, 8346, 8510); and anaplastic (8021) [18].

Statistical analysis

Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable Cox regression methods (Proc PHREG, SAS v. 9.1) with attained age as the underlying time metric. All covariates were modeled categorically with a separate category for missing data (≤1.5% for each of the hormonal and reproductive factors examined). Linear trend tests were conducted by modeling categorical values as ordinal variables using the original categories in which data were collected on the questionnaire. Some categories were combined in the tables to present more stable HR estimates. All models were adjusted for smoking status (never, former, current, unknown), race (white, other/unknown), education (less than college graduate, college graduate or higher, unknown), body mass index (kg/m2) (calculated from height and weight) (<25, 25-<30, ≥30, unknown) and typical alcohol consumption (never, ever) in the last 12 months. Thyroid cancer was inversely associated with alcohol consumption [19] and positively associated with BMI [20] in previous NIH-AARP analyses. Hormonal and reproductive factors were mutually adjusted for each other; each factor was also examined individually. The hazard plots confirmed assumptions of proportional hazards for all covariates.

For most analyses, follow-up began at age at the time the baseline questionnaire was scanned. Women were considered at risk until they experienced a first primary thyroid cancer diagnosis or were censored due to death, diagnosis of cancer other than thyroid cancer or NMSC, loss to follow-up, or December 31, 2006 (administrative censor), whichever occurred first. For the analyses of BBD and type of MHT use (none vs. estrogen only, none vs. combined estrogen and progestin), entry was defined as age at the scan date of the second questionnaire (when these exposures were ascertained). In addition to overall thyroid cancer analyses, we conducted analyses in which the outcome was defined as papillary cancer or follicular cancer, censoring participants at diagnosis of the non-event subtype of thyroid cancer.

Results

During a mean follow-up of 9.3 years, 312 women were diagnosed with a first primary thyroid cancer, including 229 papillary, 52 follicular, 12 medullary, and 9 anaplastic thyroid cancers. Histologic type was unknown for the remaining 10 cases. Basic cohort characteristics are described in Table 1. The distribution of hormonal and reproductive factors is presented in Table 2. The majority of women were parous (85%). Nearly 60% of women reported a natural menopause with most women reporting an age at natural menopause by age 55. Approximately 20% of women reported ≥5 years of OC use whereas slightly more than half of women reported use of MHT at some time. BBD was reported among 35% of women who completed the second questionnaire.

Table 1.

Select baseline characteristics of 187,865 postmenopausal women in the NIH-AARP Diet and Health Study

No. Women % of Women No. Cases
All women 187 865 312
Mean age (years) at entry (range) 62.2 (50.3 - 71.5)
Mean years of follow-up 9.3 (0.01 – 11.2)
Race
  Non-hispanic white 167 694 89.3% 283
  Non-hispanic black 10 896 5.8% 16
  Hispanic 3609 1.9% 4
  Asian /Pacific Islander/American Indian/Alaskan native 2950 1.6% 4
  Unknown 2716 1.5% 5
Smoking status
  Never 82 781 44.1% 148
  Former 72 209 38.4% 125
  Current 27 285 14.5% 26
  Unknown 5590 3.0% 13
Body mass index
  <25 kg/m2 79 839 42.5% 113
  25- <30 kg/m2 59 412 31.6% 105
  ≥30 kg/m2 42 622 22.7% 84
  Unknown 5992 3.2% 10
Education
  Less than college graduate 127 238 67.7% 209
  College graduate or graduate degree 54 502 29.0% 88
  Unknown 6125 3.3% 15
Consumption of alcoholic drinks
  Never drink 56 535 30.1% 114
  Ever drink 131 330 69.9% 198
  Unknown 0 0 0

Table 2.

Hormonal and reproductive factors and risk of thyroid cancer among 187 865 postmenopausal women in the NIH-AARP Diet and Health Study

No. Women No. cases HRsa 95% CIs P- trendb
Age at menarche
 <13 years 91 762 (48.8) 158 1.00 Reference
 ≥13 years 95 556 (50.9) 153 0.94 (0.75 - 1.18) 0.40
Parity
 Nulliparous 26 295 (14.0) 40 0.97 (0.69 - 1.36)
 Parous 160 211 (85.3) 270 1.00 Reference
Number of live births among parous women
 1-2 67 441 (42.1) 123 1.00 Reference
 ≥3 91 771 (57.3) 143 0.81 (0.63 - 1.04) 0.29
Age at first birth among parous women
 <20 years 33 702 (21.0) 41 0.67 (0.47-0.95)
 20-24 years 82 188 (51.3) 151 1.00 Reference
 25-29 years 32 994 (20.6) 58 0.93 (0.68 - 1.27)
 ≥30 years 10 798 (6.7) 19 0.88 (0.54 - 1.44) 0.37
Type of menopause
 Natural 110 909 (59.0) 165 1.00 Reference
 Surgical 76 956 (41.0) 147 1.22 (0.93 - 1.61)
Age at natural menopausec
 <50 years 44 626 (40.2) 58 0.90 (0.64 - 1.26)
 50-54 years 53 495 (48.2) 81 1.00 Reference
 ≥55 years 11 983 (10.8) 25 1.29 (0.82 - 2.03) 0.26
Age at surgical menopaused
 <45 years 51 525 (67.0) 93 1.00 Reference
 45-49 years 16 204 (21.1) 36 1.26 (0.85 - 1.85)
 ≥50 years 8711 (11.3) 17 1.05 (0.62 - 1.76) 0.61
Oral contraceptive use
 Never/<1 year 114 552 (61.0) 203 1.00 Reference
 1 - <5 years 32 089 (17.1) 66 1.23 (0.93 - 1.65)
 5-9 years 22 534 (12.0) 26 0.70 (0.46 - 1.06)
 ≥ 10 years 17 269 (9.2) 14 0.48 (0.28 - 0.84) 0.01
Menopausal hormone therapy use
 Never 87 499 (46.6) 124 1.00 Reference
 Former e 17 666 (9.4) 33 1.28 (0.86 - 1.89)
  Former, <5 years 12 933 (6.9) 24 1.26 (0.81 - 1.96)
  Former, ≥ 5 years 4619 (2.5) 9 1.30 (0.66 - 2.57) 0.36 f
 Currente 82 273 (43.8) 154 1.38 (1.07 - 1.79)
  Current, <5 years 22 758 (12.1) 47 1.63 (1.15 - 2.31)
  Current, ≥ 5 years 59 480 (31.7) 107 1.28 (0.96 - 1.71) 0.20 g
Benign breast diseaseh
 No 76 053 (63.4) 99 1.00 Reference
 Yes 41 709 (35.0) 81 1.47 (1.09 - 1.99)
a

Hazard ratios (HRs) and 95% confidence intervals (95% CIs) estimated from Cox proportional hazards models (SAS v9.1, PHREG) that used attained age as the time metric. Mutually adjusted models include the following hormonal/reproductive variables (as categorized in the table): age at menarche, ever parous, oral contraceptive use duration, menopausal hormone therapy use (defined by status and duration of use), menopause type, and age at last menstrual period (<50, 50-54, ≥55), unless otherwise specified. Models further adjusted for smoking status, baseline BMI, race, alcohol consumption, and education. Models restricted to parous women mutually adjusted for age at first birth and number of births.

b

Linear trend tests were conducted by modeling categorical values as ordinal variables using the original categories in which data were collected on the questionnaire.

c

Restricted to women reporting a natural menopause.

d

Restricted to women reporting a surgical menopause.

e

Totals include women with unknown duration of use.

f

Trend test for duration among former MHT users.

g

Trend test for duration among current MHT users.

h

Among women who completed the second questionnaire.

Thyroid cancer risk was not associated with age at menarche or menopause, type of menopause or parity (ever/never, age at first birth and number live births) (Table 2). The associations remained null when we examined age at menarche and number of births in finer categories than those shown in the table. We observed an inverse association between long-term OC use and thyroid cancer; compared with no or <1 year previous OC use, the HR for ≥10 years of OC use was 0.48 (95% CI, 0.28-0.84; Ptrend = 0.01). Compared with women who reported no history of MHT use, former (HR, 1.28; 95% CI, 0.86-1.89) and current MHT users (HR, 1.38; 95% CI, 1.07-1.79) had an increased thyroid cancer risk but when these groups were further classified according to duration of use (<5 years and ≥5 years) there was no evidence of a trend with increasing duration of use among either former (Ptrend =0.36) or current users (Ptrend =0.20).

Within the subset of women who completed the second questionnaire, the adjusted HRs for ever use of MHT use compared with never use were 1.12 (95% CI, 0.74 – 1.71) for estrogen only MHT and 1.40 (95% CI, 0.96 – 2.04) for women who had ever used combined estrogen and progestin therapy.

Also based on the group of women who completed the second questionnaire, the risk of thyroid cancer was significantly higher among women who reported a diagnosis of BBD relative to those without BBD (HR, 1.47; 95% CI, 1.09-1.99). Recognizing that this observed risk could reflect increased surveillance among women with BBD, we conducted an analysis excluding the first 2 years of follow-up and the positive association persisted (HR, 1.39; 95% CI, 1.00-1.91).

Analyses of the associations between hormonal and reproductive factors by thyroid cancer subtypes did not suggest any substantial differences between papillary and follicular cancers, although small numbers of follicular thyroid cancers limited this comparison (data not shown).

Discussion

A possible hormonal etiology of thyroid cancer is hypothesized given the substantially higher incidence rates of this cancer among women compared with men [3] and the proliferative effect of estrogen on thyroid cells [8]. Previous epidemiologic studies have yielded inconsistent results regarding the role of hormonal and reproductive factors in the development of thyroid cancer, as shown in Table 3. The results from this large, prospective study of 312 thyroid cancer cases among 187 865 postmenopausal women do not support a strong role for the examined female hormonal and reproductive factors in the etiology of postmenopausal thyroid cancer.

Table 3.

Comparison of overall associations between thyroid cancer and hormonal and reproductive factors across studies

Pooled Case-Control Summary of cohort studies with ≥100 thyroid cancers Present study
Factor Negri et al. [12]
La Vecchia et al. [11]
Akslen et al. [10] Iribarren et al. [14] Navarro Silvera et al. [9] Meinhold et al. [13] NIH-AARP
ORsa (95% CIs) Rb (95% CIs) HRsc (95% CIs) HRsc (95% CIs) HRsc (95% CIs) HRsc,d (95% CIs)
Number of cases
Mean age at baseline (range)
2132 [11] / 2247 [12]
NA (15-88) [15]
124
NA (32 - 74)
123
38.9 (10 - 89)
169
48 (40 - 59)
242
39.3 (NA)
312
62.2 (50.3 - 71.5)
Age (y) at menarche 15 vs. <13:
1.2 (1.0 - 1.4)
15 vs.13:
0.9 (0.6 - 1.5)
15 vs.13-14:
0.8 (0. 4 - 1.5)
12 vs. <12:
1.0 (0.8 - 1.4)
16 vs. <12:
1.5 (0.7 - 2.9)
13 vs. <13:
0.9 (0.8 - 1.2)
Parous ever vs. never:
1.2 (1.0 - 1.4)
ever vs. never:
1.0 (0.6 - 1.5)
----- ever vs. never:
0.8 (0.4 - 1.3)
----- never vs. ever:
1.0 (0.7 - 1.4)
Age (y) at menopause,
adjusted for type
53 vs. <45:
0.8 (0.5 - 1.2)
52 vs.47:
1.0 (0.4 - 2.3)
----- ----- ----- 55 vs50-54:
1.2 (0.8 - 1.8)
Oral contraceptive use (ever
vs. never)
1.2 (1.0 - 1.4) ----- 1.1 (0.7 - 1.7) 1.1 (0.8 - 1.5) 1.3 (0.9 - 1.8) 0.9 (0.7 - 1.1)e
Menopausal hormone
therapy use (ever vs. never)
0.8 (0.6 - 1.1) ----- 0.8 (0.5 - 1.4) 1.2 (0.7 - 2.0) 1.2 (0.6 - 2.2) 1.4 (1.1 - 1.7)f
Benign Breast Disease (yes
vs. no)
----- ----- ----- ----- 1.6 (1.1 - 2.3) 1.5 (1.1 - 2.0)
a

ORs, Odds Ratios; 95% CIs, Confidence Intervals;

b

Rs, Relative Odds,

c

HRs, Hazard Ratios

d

Hormonal and reproductive factors mutually adjusted using models described for Table 2 unless otherwise specified. Models further adjusted for smoking status, baseline BMI, race, alcohol consumption, and education.

e

Ever use of oral contraceptives substituted for duration of use.

f

Ever use of menopausal hormone therapy substituted for use defined by duration and baseline status.

The largest epidemiologic thyroid cancer study to date, a pooled analysis of 14 case-control studies conducted in Europe, Asia and North America, reported on many of the hormonal and reproductive factors also examined in the present study [11, 12]. The results of the pooled study, summarized previously [2, 21] were predominantly null or weak associations. Factors that were suggestive of an increased risk of thyroid cancer included older age at menarche, surgical menopause vs. premenopausal status, ever vs. never parous, and later age at first birth, and these were mainly observed among younger women in age-stratified analyses [11, 12]. These factors were not associated with thyroid cancer in the present study of postmenopausal women.

OC use was inversely associated with thyroid cancer in the present study. Women who reported ≥10 years of OC use had approximately one-half the risk of thyroid cancer compared with never users. In the pooled study, an inverse association between ever use of OCs and thyroid cancer was observed among women ≥56 and older at diagnosis (odds ratio (OR) =0.73), whereas there was a somewhat increased risk for women ≤35 years (OR=1.39) and no association among women 36-55 years at diagnosis (OR=1.04; p-interaction 0.05) [11]. Previous prospective studies have found no association between OC use and thyroid cancer risk [9, 13, 14]. Although analysis of time since last OC use in the pooled study suggested that the increased risk was restricted to current users [11] (who are more likely to be younger than former users), it is not clear why OCs would decrease the risk of thyroid cancer among older women. Formulation differences over calendar time [22] could play a role in the observed heterogeneity between older and younger women across the literature. The number of cases, and age range studied, did not allow analyses of results by age at entry in our cohort.

We observed a statistically significantly elevated risk of thyroid cancer among women who reported current MHT use at baseline but there was no clear trend with increasing duration of use. As the risk estimates for current short-term users (<5 years) were actually higher than for longer duration of use, our results may reflect increased surveillance among women who have recently started using MHT. High levels of estrogen increase thyroxine-binding globulin levels in women but their effect on thyroid-stimulating hormone, a suspected contributor to thyroid carcinogenesis [23], depends on thyroid function [24]. In euthyroid women, increased estrogen levels can lead to transient increases in TSH but normal levels are quickly reestablished whereas longer term TSH increases have been observed in women with hypothyroidism [24]. We did not have information about thyroid function and could therefore not examine whether the observed association differed by thyroid function status. The large, pooled case-control study and other previous epidemiologic studies have not found any indication that MHT use is a risk factor for thyroid cancer [9, 11, 13]. These studies did not distinguish between estrogen only and combined estrogen and progestin therapy. We had limited case numbers in which to do this, as evidenced by the wide confidence intervals, particularly for estrogen only use.

Within the subset of women who completed the second questionnaire, we observed a 1.47-fold increased risk of thyroid cancer among women with BBD compared with women who reported no previous diagnosis of BBD. This was very consistent with the HR (1.56) reported in a large prospective study of U.S. radiologic technologists [13]. This finding may reflect greater surveillance of women with BBD. There may also be shared risk factors in breast and thyroid disease that we could not account for in this study, as suggested by the increased risk of a second primary thyroid and breast cancers after diagnosis of the other [25]. Several studies have reported an association between thyroid dysfunction and breast disease, benign and malignant [26, 27]. We did not have information about the type of benign breast disease or the date of diagnosis. Benign breast disease encompasses a heterogeneous group of conditions and the magnitude of breast cancer risk varies across BBD type [28]. A more detailed investigation of thyroid cancer risk according to different subtypes of benign breast disease and age at diagnosis is needed to better understand our result and previously observed associations between thyroid and breast diseases.

A limitation of this study was the lack of tumor size information. Many small papillary thyroid cancers are thought to be incidental findings [29]. A comparison of the associations with BBD by tumor size could indicate the likelihood that increased surveillance accounts for this association. Also, small numbers of non-papillary thyroid cancers limited comparisons by histologic type. Nonetheless, prospective evaluation of hormonal and reproductive factors in a large sample of postmenopausal women including over 300 thyroid cases uniquely enabled a detailed investigation of factors specific to postmenopausal women (e.g., MHT use and factors related to menopause), as well as premenopausal exposures.

Overall, the results from this large prospective study do not support a strong role for female hormonal and reproductive factors including ages at menarche and menopause, type of menopause or parity (age at first birth or number of live births), in thyroid cancer etiology among postmenopausal women. Compared with previous studies, no clear patterns emerge for exogenous hormone use. Further analysis of OC use and MHT use in large, prospective studies may be informative, particularly in those with information about MHT formulation. The observed increased risk among women with BBD is consistent with the one previous prospective analysis that examined this association and future investigations may be warranted to better understand the observed associations between breast and thyroid pathologies.

ACKNOWLEDGMENT

This research was supported [in part] by the Intramural Research Program of the NIH, National Cancer Institute. Cancer incidence data from the Atlanta metropolitan area were collected by the Georgia Center for Cancer Statistics, Department of Epidemiology, Rollins School of Public Health, Emory University. Cancer incidence data from California were collected by the California Department of Health Services, Cancer Surveillance Section. Cancer incidence data from the Detroit metropolitan area were collected by the Michigan Cancer Surveillance Program, Community Health Administration, State of Michigan. The Florida cancer incidence data used in this report were collected by the Florida Cancer Data System (FCDC) under contract with the Florida Department of Health (FDOH). The views expressed herein are solely those of the authors and do not necessarily reflect those of the FCDC or FDOH. Cancer incidence data from Louisiana were collected by the Louisiana Tumor Registry, Louisiana State University Medical Center in New Orleans. Cancer incidence data from New Jersey were collected by the New Jersey State Cancer Registry, Cancer Epidemiology Services, New Jersey State Department of Health and Senior Services. Cancer incidence data from North Carolina were collected by the North Carolina Central Cancer Registry. Cancer incidence data from Pennsylvania were supplied by the Division of Health Statistics and Research, Pennsylvania Department of Health, Harrisburg, Pennsylvania. The Pennsylvania Department of Health specifically disclaims responsibility for any analyses, interpretations or conclusions. Cancer incidence data from Arizona were collected by the Arizona Cancer Registry, Division of Public Health Services, Arizona Department of Health Services. Cancer incidence data from Texas were collected by the Texas Cancer Registry, Cancer Epidemiology and Surveillance Branch, Texas Department of State Health Services.

We are indebted to the participants in the NIH-AARP Diet and Health Study for their outstanding cooperation. We also thank Sigurd Hermansen and Kerry Grace Morrissey from Westat for study outcomes ascertainment and management and Leslie Carroll at Information Management Services for data support and analysis.

This research was supported by the Intramural Research Program of the National Cancer Institute, National Institutes of Health.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Conflict of interest statement: The authors have no conflict of interest to declare.

References

  • 1.American Cancer Society Facts and Figures 2010. American Cancer Society; Atlanta: 2010. [Google Scholar]
  • 2.Dal Maso L, Bosetti C, La Vecchia C, Franceschi S. Risk factors for thyroid cancer: an epidemiological review focused on nutritional factors. Cancer Causes Control. 2009 Feb;20(1):75–86. doi: 10.1007/s10552-008-9219-5. [DOI] [PubMed] [Google Scholar]
  • 3.GLOBOCAN 2008, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 10 [Internet] International Agency for Research on Cancer; Lyon, France: [Accessed December 6, 2010]. 2010. http://globocan.iarc.fr. [Google Scholar]
  • 4.Kilfoy BA, Devesa SS, Ward MH, et al. Gender is an age-specific effect modifier for papillary cancers of the thyroid gland. Cancer Epidemiol Biomarkers Prev. 2009 Apr;18(4):1092–1100. doi: 10.1158/1055-9965.EPI-08-0976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Fleury Y, Van Melle G, Woringer V, Gaillard RC, Portmann L. Sex-dependent variations and timing of thyroid growth during puberty. J Clin Endocrinol Metab. 2001 Feb;86(2):750–754. doi: 10.1210/jcem.86.2.7209. [DOI] [PubMed] [Google Scholar]
  • 6.Berghout A, Wiersinga W. Thyroid size and thyroid function during pregnancy: an analysis. Eur J Endocrinol. 1998 May;138(5):536–542. doi: 10.1530/eje.0.1380536. [DOI] [PubMed] [Google Scholar]
  • 7.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 Jul;155(1):142–145. doi: 10.1016/0002-9378(86)90098-0. [DOI] [PubMed] [Google Scholar]
  • 8.Chen GG, Vlantis AC, Zeng Q, van Hasselt CA. Regulation of cell growth by estrogen signaling and potential targets in thyroid cancer. Curr Cancer Drug Targets. 2008 Aug;8(5):367–377. doi: 10.2174/156800908785133150. [DOI] [PubMed] [Google Scholar]
  • 9.Navarro Silvera SA, Miller AB, Rohan TE. Risk factors for thyroid cancer: a prospective cohort study. Int J Cancer. 2005 Sep 1;116(3):433–438. doi: 10.1002/ijc.21079. [DOI] [PubMed] [Google Scholar]
  • 10.Akslen LA, Nilssen S, Kvale G. Reproductive factors and risk of thyroid cancer. A prospective study of 63,090 women from Norway. Br J Cancer. 1992 May;65(5):772–774. doi: 10.1038/bjc.1992.163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.La Vecchia C, Ron E, Franceschi S, 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 Apr;10(2):157–166. doi: 10.1023/a:1008832513932. [DOI] [PubMed] [Google Scholar]
  • 12.Negri E, Dal Maso L, Ron E, et al. A pooled analysis of case-control studies of thyroid cancer. II. Menstrual and reproductive factors. Cancer Causes Control. 1999 Apr;10(2):143–155. doi: 10.1023/a:1008880429862. [DOI] [PubMed] [Google Scholar]
  • 13.Meinhold CL, Ron E, Schonfeld SJ, et al. Nonradiation risk factors for thyroid cancer in the US Radiologic Technologists Study. Am J Epidemiol. 2010 Jan 15;171(2):242–252. doi: 10.1093/aje/kwp354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Iribarren C, Haselkorn T, Tekawa IS, Friedman GD. Cohort study of thyroid cancer in a San Francisco Bay area population. Int J Cancer. 2001 Sep 1;93(5):745–750. doi: 10.1002/ijc.1377. [DOI] [PubMed] [Google Scholar]
  • 15.Negri E, Ron E, Franceschi S, et al. A pooled analysis of case-control studies of thyroid cancer. I. Methods. Cancer Causes Control. 1999 Apr;10(2):131–142. doi: 10.1023/a:1008851613024. [DOI] [PubMed] [Google Scholar]
  • 16.Enewold L, Zhu K, Ron E, et al. Rising thyroid cancer incidence in the United States by demographic and tumor characteristics, 1980-2005. Cancer Epidemiol Biomarkers Prev. 2009 Mar;18(3):784–791. doi: 10.1158/1055-9965.EPI-08-0960. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Schatzkin A, Subar AF, Thompson FE, et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Am J Epidemiol. 2001 Dec 15;154(12):1119–1125. doi: 10.1093/aje/154.12.1119. [DOI] [PubMed] [Google Scholar]
  • 18.Fritz AG. International classification of diseases for oncology: ICD-O. 3rd ed. World Health Organization; Geneva: 2000. [Google Scholar]
  • 19.Meinhold CL, Park Y, Stolzenberg-Solomon RZ, Hollenbeck AR, Schatzkin A, Berrington de Gonzalez A. Alcohol intake and risk of thyroid cancer in the NIH-AARP Diet and Health Study. Br J Cancer. 2009 Nov 3;101(9):1630–1634. doi: 10.1038/sj.bjc.6605337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Leitzmann MF, Brenner A, Moore SC, et al. Prospective study of body mass index, physical activity and thyroid cancer. Int J Cancer. 2010 Jun 15;126(12):2947–2956. doi: 10.1002/ijc.24913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.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 Oct;14(8):787–789. doi: 10.1023/a:1026312203045. [DOI] [PubMed] [Google Scholar]
  • 22.Gerstman BB, Gross TP, Kennedy DL, Bennett RC, Tomita DK, Stadel BV. Trends in the content and use of oral contraceptives in the United States, 1964-88. Am J Public Health. 1991 Jan;81(1):90–96. doi: 10.2105/ajph.81.1.90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hard GC. Recent developments in the investigation of thyroid regulation and thyroid carcinogenesis. Environ Health Perspect. 1998 Aug;106(8):427–436. doi: 10.1289/ehp.106-1533202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tahboub R, Arafah BM. Sex steroids and the thyroid. Best Pract Res Clin Endocrinol Metab. 2009 Dec;23(6):769–780. doi: 10.1016/j.beem.2009.06.005. [DOI] [PubMed] [Google Scholar]
  • 25.Ronckers CM, McCarron P, Ron E. Thyroid cancer and multiple primary tumors in the SEER cancer registries. Int J Cancer. 2005 Nov 1;117(2):281–288. doi: 10.1002/ijc.21064. [DOI] [PubMed] [Google Scholar]
  • 26.Bhargav PR, Mishra A, Agarwal G, Agarwal A, Verma AK, Mishra SK. Prevalence of hypothyroidism in benign breast disorders and effect of thyroxine replacement on the clinical outcome. World J Surg. 2009 Oct;33(10):2087–2093. doi: 10.1007/s00268-009-0143-y. [DOI] [PubMed] [Google Scholar]
  • 27.Giustarini E, Pinchera A, Fierabracci P, et al. Thyroid autoimmunity in patients with malignant and benign breast diseases before surgery. Eur J Endocrinol. 2006 May;154(5):645–649. doi: 10.1530/eje.1.02108. [DOI] [PubMed] [Google Scholar]
  • 28.Hartmann LC, Sellers TA, Frost MH, et al. Benign breast disease and the risk of breast cancer. N Engl J Med. 2005 Jul 21;353(3):229–237. doi: 10.1056/NEJMoa044383. [DOI] [PubMed] [Google Scholar]
  • 29.Sipos JA, Mazzaferri EL. Thyroid cancer epidemiology and prognostic variables. Clin Oncol (R Coll Radiol) 2010 Aug;22(6):395–404. doi: 10.1016/j.clon.2010.05.004. [DOI] [PubMed] [Google Scholar]

RESOURCES