Abstract
Introduction
The reasons for the increase in thyroid cancer incidence are not well understood, but several theories have been proposed. Changes to coding practices and improvements in diagnostics during the 1970s are thought to play a role in the reported increase in incidence. 17 Among other proposed explanations is the use of medical radiation to treat benign thyroid disease, a practice that occurred from the 1920s to the 1950s. 18 However, the impact of the introduction of newer diagnostic technology and the discontinued use of medical radiation to treat benign thyroid disease would be expected to diminish over time, and thus other factors may be contributing to the continued increase in incidence during recent years, especially among young adults.
Examining incidence rates and recent trends over time among persons born during or after 1960 can aid progress toward understanding more contemporary risk factors for thyroid cancer and may ultimately help identify opportunities for primary prevention. 19 Previous studies have analyzed surveillance data from the National Cancer Institute’s (NCI) Surveillance, Epidemiology and End Results (SEER) program and have only covered up to 26% of the U.S. population.3–5,7,20 As a result, these studies were limited in their ability to examine geographic variation or trends at younger ages (when incidence rates are lowest). More recent, nationwide data are needed. The current study enhances previous research by using combined data from the Centers for Disease Control and Prevention's (CDC) National Program of Cancer Registries (NPCR) and NCI's SEER, which provides greater geographic and regional coverage and greater statistical stability. The purpose of this study is to use nationwide surveillance data to look specifically at recent trends in thyroid cancer among young adults aged 20–39 years in the United States, focusing on females by age, race/ethnicity, U.S. census region, and tumor stage, histology, and size.
Materials and Methods
Data sources
Data from the two federal cancer surveillance programs, CDC's NPCR and NCI's SEER, were used to examine thyroid cancer incidence rates and trends.8,21,22 Both NPCR and SEER data were collected and reported using standard data items and uniform codes and procedures, as documented by the North American Association of Central Cancer Registries. 23 Combined NPCR and SEER data that meet high quality data standards are published yearly in the United States Cancer Statistics (USCS) report and represent official federal statistics on cancer.8,24 Only cancer incidence data that meet publication criteria for the USCS report were included in this analysis. 25
The use of combined NPCR/SEER data maximized the population coverage for the analysis. For thyroid cancer incidence rates, NPCR/SEER data for 2003–2007 were used, resulting in population coverage of 97.2% for those years. When assessing recent trends, NPCR/SEER data for 1999–2007 were used, resulting in population coverage of 89.4% for those years. Because tumor size is not included in NPCR data collection, SEER data for 1999–2007 covering only 13.8% of the population were used to assess long-term trends in thyroid cancer incidence rates by tumor size. 26
NPCR data used in these analyses were reported to CDC as of November 30, 2009. 8 SEER data were reported to NCI as of November 1, 2009, and were made available through SEER's limited-use data file, which was released in April 2010. 8 Data from states that are supported by both NPCR and SEER are presented as reported to CDC as of November 30, 2009. 8 The population denominator data for calculating cancer incidence rates were obtained from the 2000 U.S. Census and modified by SEER for the purpose of improving the accuracy of rates for the population of Hawaii. 27
Case definition
Cancer cases were coded using the International Classification of Diseases-Oncology (ICD-O), which was in use at the time of diagnosis. ICD-O 2nd Edition (ICD-O-2) was used for 1999–2000 diagnosis years, and ICD-O 3rd Edition (ICD-O-3) was used for 2001–2007 data. The 1999–2000 data were converted to ICD-O-3 codes.8,28–30 Cases were defined as invasive, microscopically confirmed, primary, malignant, thyroid neoplasm (ICD-O-3 site code C73.9). We defined histologic types of thyroid cancer according to the following ICD-O-3 codes: papillary tumor (8050, 8052, 8130, 8260, 8340-8344, 8450, and 8452), follicular (8290, 8330-8332, and 8335), medullary (8345, 8346, and 8510), or anaplastic (8021).
Statistical analysis
Incidence rates were calculated per 100,000 persons and were age-adjusted to the 2000 U.S. standard population. 31 Given the low case counts among those below the age of 20, the final analyses were limited to those aged 20–39 years. Combined NPCR/SEER data for 2003–2007 were used to calculate age-specific incidence rates by sex and age-specific rates for females by age (20–24 years, 25–29 years, 30–34 years, and 35–39 years); race/ethnicity (non-Hispanic white, Hispanic, black, Asian Pacific Islander [API], and American Indian/Alaska Native [AI/AN]); U.S. census region (Northeast, Midwest, West, and South); U.S. state; tumor stage; and tumor histology. Annual percent change (APC) was calculated by using the least squares method, and 95% confidence intervals (95% CI) were based on the Gamma method and used the Tiwari modification (Tiwari mod). 32 Combined NPCR/SEER data for 1999–2007 were used to calculate APC by sex and to calculate APC for females by age, race/ethnicity, U.S. census region, U.S. state, tumor stage, and tumor histology. SEER data for 1999–2007 were used to calculate APC for females by tumor size. Cancer cases with unknown sex or age were excluded from all analyses. The categories used for race/ethnicity were mutually exclusive. Differences between groups, when noted, are statistically significant at p<0.05. All statistical analyses were conducted with SEER*Stat (version 6.5.2). 33
Results
Thyroid cancer incidence rates increased significantly over time among young adults aged 20–39 years during 1999–2007. Rates were consistently higher and increased more rapidly over time among females compared to rates among males (Fig. 1). Among females, rates increased an average of 5.3% (95% CI: 4.7–5.9) each year; among males, rates increased an average of 3.8% (95% CI: 3.2–4.8) each year. The absolute change in rates among males was only 1.0 per 100,000, compared to an absolute increase of 6.6 per 100,000 among females. By 2007, rates were more than five times higher among young females (18.4 per 100,000) than among young males (3.6 per 100,000).

Age-adjusted incidence rates of thyroid cancer by sex among those aged 20–39 years in the United States, NPCR/SEER 1999–2007. *APC is significantly different from zero (p<0.05). APC, annual percentage change; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology and End Results program.
Because so few thyroid cancers occurred among young males, all subsequent results focus specifically on females aged 20–39 years. During 2003–2007, there was an average of 16.4 incident cases of thyroid cancer per 100,000 each year, and rates increased an average of 5.3% each year from 1999 to 2007. Most incident thyroid cancers were localized (69.5%) or regional (26.4%) stage at diagnosis, and nearly all (90.2%) were papillary tumors (Table 1). Incident thyroid cancers were distributed across different tumor sizes: 29.1% were less than or equal to 1 centimeter, 30.4% were 1.1–2.0 centimeters, and 32.3% were 2.1–5.0 centimeters. Only 3.5% of tumors were more than 5.0 centimeters. Rates increased significantly over time across all tumor sizes, including those more than 5.0 centimeters in size (Table 1). Furthermore, there was no significant difference in APC when stratifying by tumor size.
Note: Rates are per 100,000 and age-adjusted to the 2000 U.S. standard population. Confidence intervals (Tiwari mod) are 95% for rates. Source: Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Stat Methods Med Res. 2006;15:547–569.
APC, annual percentage change; AI/AN, American Indian/Alaska Native; API, Asian Pacific Islander; CI, confidence interval.
All races are included in Hispanic ethnicity. White, black, AI/AN, and API are limited to non-Hispanic ethnicity. bFor analysis of histology, analysis was limited to microscopically confirmed tumors; 99.7% of all tumors were microscopically confirmed. cIncludes medullary, not otherwise specified, and other. dTumor size is reported on a subset of the population (SEER only).
Significant differences in rates and trends over time were observed by demographic characteristics (Table 1). Rates were highest among those aged 35–39 years compared to other age groups; the largest percentage increase in rates over time occurred in this age group as well. The lowest rates were among ages 20–24 years. Significant differences were also observed across different racial/ethnic groups, with the highest rates among non-Hispanic whites. The percentage increase in rates over time was not significantly different across racial/ethnic groups. When stratifying by geographic region, the highest rates and APCs of thyroid cancer were seen in the Northeast compared to the other regions. This trend held true for all racial/ethnic groups except for AI/AN (Table 2). The South had the lowest rates overall compared to the other regions (Table 1), but this pattern was not consistent across the different racial/ethnic groups (Table 2). Rates and APCs were also computed for each U.S. state to determine if any states were outliers within their given region. There was modest variation by state, but there were no notable outliers within each region (data not shown).
Note: Rates are per 100,000 and age-adjusted to the 2000 U.S. standard population. Confidence intervals (Tiwari mod) are 95% for rate ratios. Source: Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Stat Methods Med Res. 2006;15:547–569.
AI/AN, American Indian/Alaska Native; API, Asian Pacific Islander; CI, confidence interval; Ref, reference.
All races are included in Hispanic ethnicity. White, black, AI/AN, and API are limited to non-Hispanic ethnicity. bCI indicates confidence interval for rate ratio. cRef indicates reference group for rate ratios. dStatistic not displayed due to fewer than 16 cases. eStatistic could not be calculated.
Rates were consistently higher among those aged 35–39 years compared to other five-year age groups across all racial/ethnic groups, except AI/AN (Table 3), but APCs did not always follow this pattern. Among non-Hispanic whites, those aged 35–39 years had the highest APC compared to other age groups. In all other racial/ethnic groups, APCs were not significantly different across five-year age groups. The pattern of rates increasing with age and over time was consistent across all four geographic regions (Table 4).
Note: Rates are per 100,000 and age-adjusted to the 2000 U.S. standard population. Confidence intervals (Tiwari mod) are 95% for rates. Source: Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Stat Methods Med Res. 2006;15:547–569.
APC, annual percentage change; AI/AN, American Indian/Alaska Native; API, Asian Pacific Islander; CI, confidence interval.
All races are included in Hispanic ethnicity. White, black, AI/AN, and API are limited to non-Hispanic ethnicity. bAPCs could not be calculated for AI/AN due to low cell counts when stratifying by age group.
Note: Rates are per 100,000 and age-adjusted to the 2000 U.S. standard population. Confidence intervals (Tiwari mod) are 95% for rates. Source: Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Stat Methods Med Res. 2006;15:547–569.
APC, annual percentage change; CI, confidence interval.
Discussion
The results from this study indicate that incidence rates for thyroid cancer have continued to increase in recent years among young adults of both sexes in the United States. In less than a decade, rates have increased more than 50%, with no indication that the rate of increase is slowing or leveling off. The difference in rates by sex has also continued to grow over time. Other notable differences were observed among young women by five-year age group, geographic region, and race/ethnicity. The observation of higher incidence rates among older age groups is consistent with previous literature, which has shown that thyroid cancer incidence rates typically peak around ages 40–59 among women.4,5
Reasons for geographic differences in incidence rates are largely unknown and could be due to multiple factors. A study using California Cancer Registry data from 1988–2004 found that Japanese women born outside the United States had a significantly higher rate of thyroid cancer than U.S.-born Japanese women, but among Chinese and Filipina women the U.S.-born women had higher rates. 34 One possible reason for geographic differences in incidence rates could be differences in geographic-specific exposures early in life.
In the current study, rates increased among most racial/ethnic groups and within all geographic regions of the United States. However, non-Hispanic white women consistently had the highest rates, followed by API and Hispanic women. A recent study using SEER data observed similar racial/ethnic patterns in thyroid cancer incidence across all age groups. 35 The use of combined NPCR/SEER data allowed us to provide additional information about these racial/ethnic patterns, including a more detailed age breakdown and a description of the racial/ethnic patterns in each geographic region.
Another notable finding was the increase in the incidence of thyroid tumors of all sizes. Some researchers have proposed that the observed increases are not caused by increases in actual disease but are artifacts of changes in diagnosis and surveillance. 3 For example, improvements in diagnostic techniques, such as the use of ultrasound and thin needle aspiration, have led to an increased ability to detect early-stage cancers, and the coding rules for thyroid cancer were changed in 1988 to include benign-appearing papillary lesions, thus widening the definition of papillary thyroid cancer.3,6,36–38 If earlier changes in diagnostics and surveillance were the sole reasons for the observed increases, one would expect to observe increases in the rates of only small thyroid tumors and a leveling off of the rate of increase over time, unless physicians are becoming more aggressive in their screening practices over time. However, the increase in rates is occurring across all tumor sizes.1,4,7,35 Our study results indicate similar trends specifically among younger women, with no indication that the rate of increase is slowing, suggesting that other factors are contributing to the observed increases.
One possible cause for the observed increase in thyroid cancer among young adults is increasing exposure to ionizing radiation, the most well-established risk factor for thyroid cancer.39–41 Common sources of exposure to ionizing radiation in the United States include medical imaging procedures and natural sources of radiation such as radon. 42 Researchers have estimated that the per capita dose of radiation from medical exposure (not including dental or radiotherapy) increased almost 600% (approximately 3.0 millisieverts) from 1982 to 2006, with the increase largely being attributed to increased use of computed tomography (CT) scans and nuclear medicine. 42 Pediatric diagnostic procedures are among the most rapidly increasing groups of CT procedures.43,44 Children are more sensitive to radiation than adults and have a longer window of opportunity for expressing radiation damage.44,45 Dental x-rays are another common source of radiation exposure. Although radiation doses are relatively low, a recent case-control study found that exposure to dental x-rays was significantly associated with an increased risk of thyroid cancer. 46
Some have also suggested that the increase in thyroid cancer may be in part caused by increases in environmental exposures to chemicals that can interfere with normal thyroid function.47–51 For example, perchlorate, nitrate, thyocyante, polychlorinated biphenyls (PCBs), bisphenol A (BPA), polybrominated diphenyl ether (PBDE), and phthalates are all thought to alter thyroid function in some manner.47–53 Perchlorate, phthalate metabolites, and BPA have been detected in measurable amounts in urinary samples, and PCBs and PBDEs have been detected in measurable amounts in serum samples from the U.S. population across all age groups. 54 PBDEs have been measured in breast milk from donors in Texas at levels many times higher than levels measured in women in Europe. 55 Rates of thyroid cancer also tend to be lower in European countries than in the United States, particularly among white women. 49
The higher incidence rates and more dramatic increases in rates over time among young women compared to young men suggest that reproductive or hormonal factors could play a role in the etiology of thyroid cancer.2,56 However, the evidence for a relationship between reproductive and hormonal factors and thyroid cancer has been inconsistent.56–58 Women tend to be more susceptible than men to thyroid diseases and to the thyroid-disrupting effects of certain chemicals, particularly while pregnant.52,59,60 Therefore, changes in environmental risk factors, such as an increasing prevalence of endocrine disruptors in the environment, would be expected to have a greater effect on the thyroid health of women than of men.
During the past 30 years, the prevalence of obesity has increased among young men and women, and this increase has been suggested as a potential explanation for the rise in incident thyroid cancer.57,61,62 However, the association between these metabolic factors and thyroid cancer has been inconsistent and still needs further exploration. 57 The most recent data on obesity in the United States suggest that the increase in rates of obesity is slowing, particularly among women. 61 If obesity is a contributing factor there may be a lagged effect, with subsequent changes in thyroid cancer rates occurring years later.
This study provides a unique contribution to the current literature on thyroid cancer by closely examining recent thyroid cancer incidence rates, trends, and disparities among younger women in the United States. This study benefits from the use of combined NPCR/SEER data, and is the first study to examine incidence rates of thyroid cancer using data that cover approximately 90% or more of the U.S. population, allowing for the comparison of rates and trends by U.S. census region and by demographic subpopulations. This focused approach may further inform plausible hypotheses for contemporary causes of thyroid cancer and reasons for the marked increase in incidence rates in recent years.
The study does have some limitations. Given the ecological design of this study, conclusions about the causes of the observed trends cannot be made. Although it is plausible that the risk factors described above may play a role, better information about the exposure history of persons with thyroid cancer is needed before such hypotheses can be substantiated. This study is also limited by the usual concerns related to registry data, such as the potential for incomplete data collection and inconsistencies in tumor coding. Rates of thyroid cancer among AI/AN may be underestimated in this study due to potential misclassification of race in central cancer registries. 63
In conclusion, thyroid cancer incidence rates have increased substantially among younger women in the United States in recent years. Rates were significantly higher among non-Hispanic white women compared to other racial/ethnic groups and significantly higher among women living in the Northeast compared to other geographic regions. These descriptive patterns in incidence among this more recent birth cohort may help inform hypotheses about factors currently contributing to the incidence of thyroid cancer in the United States.
Footnotes
Acknowledgments
This research was supported in part by an appointment (Dawn M. Holman) to the Research Participation Program at the Centers for Disease Control and Prevention administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the Centers for Disease Control and Prevention. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
Disclosure Statement
No competing financial interests exist.
