Obesity is a well-known risk factor for many cancers, including those of the esophagus, colon, kidney, breast, and skin. However, there are few reports on the relationship between obesity and thyroid cancer. We conducted this study to determine whether obesity is a risk factor for thyroid cancer by systematically screening a selected population by ultrasonography.
Design and methods
We obtained data from 15 068 subjects that underwent a routine health checkup from 2007 to 2008 at the Health Screening and Promotion Center of Asan Medical Center. Thyroid ultrasonography was included in the checkup, and suspicious nodules were examined by ultrasonography-guided aspiration. Those with a history of thyroid disease or family history of thyroid cancer were excluded from this study.
In total, 15 068 subjects, 8491 men and 6577 women, were screened by thyroid ultrasonography. Fine-needle aspiration cytology was performed in 1427 of these patients based on the predefined criteria and thyroid cancer was diagnosed in 267 patients. The prevalence of thyroid cancer in women was associated with a high BMI (per 5 kg/m2 increase) (odds ratios (OR)=1.63, 95% CI 1.24–2.10, P<0.001), after adjustment for age, smoking status, and TSH levels. There was no positive correlation between the prevalence of thyroid cancer in men and a high BMI (OR=1.16, 95% CI 0.85–1.57, P=0.336). There was no association between age, fasting serum insulin, or basal TSH levels and thyroid cancer in either gender.
Obesity was associated with a higher prevalence of thyroid cancer in women when evaluated in a routine health checkup setting. This association between risk factor and disease was unrelated to serum insulin and TSH levels. Additional studies are needed to understand the mechanism(s) behind the association of obesity with thyroid cancer risk.
The incidence of thyroid cancer is increasing in many countries (1, 2, 3). This increase in disease incidence is likely due to an increase in the rate of detection of small papillary carcinomas by widespread use of ultrasonography (1). Nevertheless, Chen et al. (2) reported an increase in thyroid cancer of all sizes between 1988 and 2005 in the United States. This suggested that over-diagnosis is not the only explanation and that other causes such as environmental factor(s) could be involved. A study from Denmark also arrived at a similar conclusion (3). While the use of iodinated salt and an increase in the use of ultrasonography may have contributed to the incidence of thyroid cancer, other risk factors are likely to be involved as such increase started before the introduction of iodinate salt and continues long after implementation of ultrasonography.
The main risk factors for thyroid cancer are exposure to ionizing radiation, a history of benign thyroid disease, and a family history of thyroid cancer (4, 5, 6). Overweight and obesity, expressed as a high BMI, are possible risk factors for thyroid cancer. According to the National Health and Nutrition Examination Survey (NHANES) of the United States compiled in 2009–2010, the prevalence of obesity was 35.5 and 35.8% among adult men and women respectively, a significant increase compared with 12% among men and 17% among women in 1976–1980 (7, 8). Obesity is associated with the development of many cancers, including those of esophagus, colon, kidney, breast, skin, rectum, and gallbladder (9). However, there are few reports on the relationship between obesity and thyroid cancer and the underlying mechanism is largely unknown (9, 10, 11, 12).
To our knowledge, a study evaluating obesity as a risk factor for thyroid cancer by systematically screening a selected population with ultrasonography has never been reported. In this study, we investigated the association between obesity and thyroid cancer in a population who underwent routine health checkup in Korea and looked into the possible associations between obesity-related metabolic parameters and thyroid cancer.
Materials and methods
This cross-sectional study included 24 935 subjects that underwent a routine health checkup from January 2007 to December 2008 at the Health Screening and Promotion Center of Asan Medical Center in Seoul, Korea. Thyroid ultrasonography was included in each checkup. We selected 17 413 subjects (9275 men and 8138 women) that provided details on blood pressure (BP), fasting glucose, cholesterol, triglyceride and insulin levels, waist circumference, bioelectrical impedance analysis, and smoking status as part of the health checkup. Subjects with serum TSH levels <0.4 or >10 mU/l were excluded. If a subject received two or more health checkups during the study periods, only the first one was included in the analysis. Of 17 413 subjects, those with a history of thyroid disease (thyroid dysfunction, n=799; thyroid nodule, n=648; thyroid cancer, n=10; surgery on thyroid, n=154; medication for thyroid disease, n=466) and a family history (first-degree relatives only) of thyroid cancer (n=1142) were also excluded. The final analysis included 15 068 subjects. We reviewed medical records and analyzed risk factors for thyroid cancer separately in men and women. The local ethics committee approved the study protocol.
Venous blood was collected from 12-h fasting subjects in the morning and analyzed for glucose, cholesterol, triglyceride, and insulin at the Asan Medical Center. Glucose, cholesterol, and triglyceride levels were quantified with a TBA-200FR autoanalyzer (Toshiba Medical System Co., Ltd, Tokyo, Japan), whereas insulin was measured by RIA (Insulin IRMA kit; Izotop, Budapest, Hungary). The normal range of insulin was 0.9–8.5 mU/l. Insulin resistance was determined by the homeostasis model assessment method-insulin resistance (HOMA-IR) using fasting glucose and insulin levels as baselines (13). HOMA-IR was calculated by dividing the product of glucose (mg/dl) and insulin (mU/l) by 405. Serum TSH was measured by RIA (TSH-CTK-3 kit; DiaSorin S.p.A., Saluggia, Italy). The functional sensitivity of the TSH assay was 0.07 mU/l.
During the initial visit, height and weight were obtained with subjects wearing light clothes and no shoes. BMI was calculated as the weight in kilograms divided by the height in meters squared (kg/m2). BMI was categorized as follows: <18.5, 18.5–22.9, 23.0–24.9, 25.0–29.9, and ≥30 for underweight, normal-weight, overweight, obesity, and severe obesity respectively, according to WHO guidelines for Asians (14). BP was measured after at least 30 min of resting. Waist circumference was measured midway between the costal margin and the iliac crest at the end of a normal expiration. Bioelectrical impedance analysis was performed using an eight-polar tactile-electrode impedance meter, the body composition analyzer (InBody 3.0; Biospace, Seoul, Korea). Resistance of the arms, trunk, and legs to a small alternating electrical current was measured at frequencies of 5, 50, and 250 kHz. Total body water and fat-free mass were estimated automatically from the measured resistance using a built-in software. Fat mass was calculated as body weight minus fat-free mass and fat ratio as fat mass divided by body weight.
Identification of thyroid cancer
Of 15 068 subjects, 7472 patients had cystic or solid nodules on thyroid ultrasonography. Patients with abnormal thyroid ultrasonography findings were referred to as endocrinologists, regardless of nodule size or characteristics. Fine-needle aspiration (FNA) cytology was performed on 1427 patients (out of 7472) with thyroid nodule(s) larger than 1 cm or smaller than 1 cm when micro-calcification, hypo-echogenicity, a ‘taller than wide’ shape, irregular margins, or neck lymph node enlargement were noted by thyroid ultrasonography (15). Two hundred and sixty-nine patients were diagnosed as suspicious for malignancy or malignancy on FNA cytology (16). Of 269 subjects, 206 patients underwent thyroid surgery at the Asan Medical Center. The final diagnosis was papillary carcinoma for 203 subjects, follicular carcinoma for one subject, and benign growth for two subjects. We regarded 63 patients who were diagnosed with ‘papillary thyroid carcinoma’ (PTC) by FNA cytology but did not undergo surgery at Asan Medical Center, as having thyroid cancer. Among those 63 patients, 47 underwent surgery in other centers and confirmed as cancers, seven are under observation without surgery, and we do not know the final status in nine patients. Therefore, this study employed 267 thyroid cancer patients.
Categorical variables were presented as numbers and percentages. Continuous variables were expressed as means (s.d.) or medians (interquartile range). Comparisons of continuous variables were performed by Student's t-test. Trends across BMI categories were performed by a χ2 test. Quartiles of variables were calculated based on the values from a sex-specific population. R (version 2.12) and R library survivals (R Foundation for Statistical Computing, Vienna, Austria; http://www.R-project.org) were used for statistical analysis. The association between variables and thyroid cancer risk was presented as an odds ratio (OR) with a 95% CI calculated by binominal logistic regression. P<0.05 was considered statistically significant.
Baseline characteristics of healthy and cancer subjects
A total of 15 068 subjects (8491 men and 6577 women) without any history of thyroid disease were included in this study. A comparison of clinical characteristics between healthy subjects and cancer subjects showed significant differences in all variables between men and women (Table 1). Therefore, data were analyzed separately based on gender. Male subjects with thyroid cancer were significantly younger than subjects without cancer. Female cancer subjects had a higher BMI than non-cancer subjects. The percentage of obese subjects (BMI≥25) was greater in the female cancer group vs the normal group (30 vs 22%). In addition, mean waist circumference, mid-BP, and fat ratio were significantly higher in the female cancer group than in the non-cancer group (Table 1).
Comparison of clinical characteristics between subjects with and without thyroid cancer.
|Non-cancer (n=8364)||Cancer (n=127)||P value||Non-cancer (n=6437)||Cancer (n=140)||P value|
|Smoking||6823 (82%)||103 (81%)||0.278||591 (9%)||7 (5%)||0.327|
|<18.5 (underweight)||88 (1%)||1 (1%)||268 (4%)||4 (3%)|
|18.5–22.9 (normal-weight)||2003 (24%)||29 (23%)||3256 (51%)||54 (39%)|
|23.0–24.9 (overweight)||2468 (30%)||37 (29%)||1505 (23%)||39 (28%)|
|25.0–29.9 (obesity)||3533 (42%)||52 (41%)||1271 (20%)||37 (26%)|
|≥30.0 (severe obesity)||272 (3%)||8 (6%)||137 (2%)||6 (4%)|
|Waist circumference (cm)||86.7±7.5||87.1±7.6||0.525||77.1±8.1||79.4±8.3||0.002|
|Fat ratio (%)||19.6±4.6||19.6±4.5||0.849||25.9±5.7||27.3±6.1||0.008|
|Glucose (mg/dl)||101 (94–111)||100 (95–109)||0.664||95.0 (89–102)||98.5 (90–107)||0.066|
|Insulin (mIU/l)||6.5 (4.6–9.4)||6.5 (4.6–9.2)||0.991||5.8 (4.1–8.4)||6.5 (4.6–9.1)||0.201|
|HOMA-IR||1.7 (1.1–2.5)||1.6 (1.1–2.6)||0.758||1.4 (0.9–2.1)||1.6 (1.1–2.2)||0.098|
|Triglycerides (mg/dl)||130 (93–185)||139 (102–186)||0.650||92 (67–129)||90 (68–138)||0.159|
|TSH (mU/l)||2.1 (1.4–3.1)||2.0 (1.4–3.0)||0.831||2.5 (1.7–3.6)||2.4 (1.6–3.4)||0.468|
Mid-BP, mid blood pressure= (systolic BP+diastolic BP)/2; HOMA-IR, homeostasis model assessment method-insulin resistance.
Subgroup analysis: clinicopathological characteristics of the 204 patients who were diagnosed with thyroid cancer confirmed by surgery in Asan Medical Center
Of 269 patients with results of suspicious for malignancy or malignancy on cytology, 206 patients underwent thyroid surgery at the Asan Medical Center. The final diagnosis was papillary or follicular carcinoma for 204 patients (98 men and 106 women) and benign growth for two subjects. The clinicopathological characteristics of these 204 cases are presented in Table 2. The median time from health checkup to surgery was 8.4 months, the mean age was 52 years old and 52% of subjects were women. The median size of tumors was 0.6 cm (0.4–1.0) and 76% were <1 cm in maximal diameter. The percentage of papillary (including classical PTC and follicular variants), follicular, and mixed carcinomas were 98.5, 0.5, and 1% respectively; thus, most cancers were papillary thyroid microcarcinomas (PTMCs). The frequency of extrathyroidal extension, presence of central neck lymph node metastasis, and presence of lateral neck lymph node metastasis were 58, 34, and 7% respectively. According to the TNM staging system (a classification of the International Union Against Cancer and the American Joint Committee on Cancer, revised in 2009), 88 patients were at stage I/II and 116 patients were at stage III/IV (Table 2).
Clinicopathological characteristics of patients (n=204) diagnosed with thyroid cancer and confirmed by surgery at the Asan Medical Center.
|Papillary, classical variant||198 (97%)|
|Papillary, follicular variant||3 (1.5%)|
|Total thyroidectomy||132 (65%)|
|Maximal tumor diameter (cm)|
|Median (IQR)||0.6 (0.4–1.0)|
|≤1 cm||154 (76%)|
|Lymph node metastasis|
|AJCC TNM stage (2009)|
IQR, interquartile range.
Association between variables and thyroid cancer risk
We examined the associations between obesity-related metabolic parameters and thyroid cancer (Table 3). A total of 267 patients were included in risk factor analysis (204 patients with surgically confirmed thyroid cancer and 63 patients with malignant cytology without surgical intervention). Before adjusting for other factors, the prevalence of thyroid cancer (OR=1.51, 95% CI 1.17–1.94, P=0.001) was associated with a high BMI (per 5 kg/m2) in women; however, a high BMI did not correlate with the prevalence of thyroid cancer in men (OR=1.20, 95% CI 0.87–1.61, P=0.252). We also examined this relationship using BMI quartiles. The risk for developing thyroid cancer in women was higher in the third (41%) and fourth (49%) quartile groups than in the first quartile group. In addition, mid-BP and the serum fasting glucose level were positively correlated with thyroid cancer only in the fourth vs the first quartile among women. Height, waist circumference, fat ratio, serum insulin level, insulin resistance (HOMA-IR), fasting cholesterol, and triglyceride levels were not independent risk factors for thyroid cancer in either gender.
Associations between obesity-related metabolic parameters and prevalence of thyroid cancer.
|Unadjusted OR (95% CI)||P value||Unadjusted OR (95% CI)||P value|
|BMI (per 5 kg/m2)||1.20 (0.87–1.61)||0.252||1.51 (1.17–1.94)||0.001|
|Q2||1.02 (0.61–1.72)||0.931||1.19 (0.67–2.12)||0.555|
|Q3||1.07 (0.64–1.79)||0.792||1.83 (1.10–3.14)||0.023|
|Q4||1.23 (0.76–2.03)||0.403||2.21 (1.35–3.73)||0.002|
|Q2||0.82 (0.48–1.37)||0.447||0.87 (0.53–1.44)||0.589|
|Q3||0.90 (0.56–1.46)||0.683||0.97 (0.61–1.55)||0.887|
|Q4||0.97 (0.60–1.55)||0.890||0.74 (0.45–1.21)||0.227|
|Waist circumference (cm)c|
|Q2||0.98 (0.58–1.63)||0.931||0.67 (0.36–1.22)||0.201|
|Q3||1.06 (0.63–1.77)||0.824||1.41 (0.88–2.27)||0.155|
|Q4||1.13 (0.70–1.81)||0.623||1.49 (0.94–2.40)||0.094|
|Fat ratio (%)d|
|Q2||1.00 (0.60–1.69)||0.988||0.69 (0.40–1.17)||0.178|
|Q3||1.48 (0.93–2.39)||0.106||0.95 (0.58–1.55)||0.831|
|Q4||0.84 (0.49–1.45)||0.538||1.49 (0.97–2.34)||0.074|
|Q2||0.89 (0.52–1.53)||0.683||0.80 (0.46–1.38)||0.426|
|Q3||1.02 (0.60–1.71)||0.95||1.28 (0.79–2.08)||0.323|
|Q4||1.44 (0.90–2.33)||0.134||1.60 (1.02–2.57)||0.045|
|Q2||0.82 (0.49–1.34)||0.428||1.19 (0.69–2.07)||0.533|
|Q3||0.83 (0.51–1.32)||0.425||1.43 (0.86–2.43)||0.174|
|Q4||0.76 (0.46–1.23)||0.260||1.97 (1.23–3.23)||0.006|
|Q2||0.94 (0.57–1.54)||0.795||0.76 (0.45–1.26)||0.288|
|Q3||0.95 (0.58–1.56)||0.853||1.05 (0.66–1.68)||0.836|
|Q4||0.92 (0.56–1.52)||0.750||1.15 (0.73–1.82)||0.556|
|Q2||0.86 (0.53–1.39)||0.547||0.94 (0.55–1.58)||0.802|
|Q3||0.64 (0.38–1.07)||0.095||1.38 (0.86–2.23)||0.187|
|Q4||0.92 (0.57–1.47)||0.716||1.38 (0.86–2.23)||0.189|
|Q2||0.88 (0.52–1.48)||0.630||1.26 (0.79–2.04)||0.330|
|Q3||1.07 (0.65–1.76)||0.792||1.05 (0.64–1.71)||0.857|
|Q4||1.17 (0.73–1.87)||0.518||1.12 (0.69–1.82)||0.651|
|Q2||0.66 (0.39–1.12)||0.128||0.87 (0.54–1.40)||0.570|
|Q3||1.01 (0.63–1.61)||0.979||0.69 (0.42–1.14)||0.151|
|Q4||0.94 (0.58–1.52)||0.793||1.12 (0.72–1.75)||0.603|
OR, odds ratio; Mid-BP, mid blood pressure=(systolic BP+diastolic BP)/2; HOMA-IR, homeostasis model assessment method-insulin resistance.
Quartiles for BMI: 13.9–22.9, 23.0–24.6, 24.7–26.3, and 26.4–60.7 kg/m2 in men; 13.5–20.8, 20.9–22.5, 22.6–24.5, and 24.6–39.8 kg/m2 in women.
Quartiles for height: 146.0–165.9, 166.0–169.9, 170.0–173.9, and 174.0–193.0 cm in men; 133.0–153.9, 154.0–156.9, 157.0–160.9, and 161.0–180.0 cm in women.
Quartiles for waist circumference: 56.0–81.9, 82.0–86.9, 87.0–90.9, and 91.0–135.0 cm in men; 33.0–70.9, 71.0–75.9, 76.0–81.9, and 82.0–118.0 cm in women.
Quartiles for fat ratio: 3.7–16.5, 16.6–19.4, 19.5–22.4, and 22.5–53.8% in men; 5.9–21.8, 21.9–25.6, 25.7–29.8, and 29.9–50.0% in women.
Quartiles for mid-BP: 66.5–90.4, 90.5–97.4, 97.5–103.4, and 103.5–124.0 mmHg in men; 37.5–83.4, 83.5–90.4, 90.5–98.9, and 99.0–119.5 mmHg in women.
Quartiles for glucose: 52–93, 94–100, 101–110, and 111–379 mg/dl in men; 62–88, 89–94, 95–101, and 102–500 mg/dl in women.
Quartiles for insulin: 1.2–4.5, 4.6–6.4, 6.5–9.3, and 9.4–181.0 mU/l in men; 1.4–4.0, 4.1–5.7, 5.8–8.3, and 8.4–75.5 mU/l in women.
Quartiles for HOMA-IR: 0.2–1.0, 1.1–1.6, 1.7–2.4, and 2.5–67.0 in men; 0.2–0.8, 0.9–1.3, 1.4–2.0, and 2.1–24.7 in women.
Quartiles for cholesterol: 66–167, 168–188, 190–212, and 213–473 mg/dl in men; 71–168, 169–190, 191–215, and 216–409 mg/dl in women.
Quartiles for triglyceride: 31–92, 93–129, 130–184, and 185–1817 mg/dl in men; 24–66, 67–91, 92–128, and 129–901 mg/dl in women.
We selected potential risk factors for thyroid cancer: age, smoking status, serum TSH level, and BMI, to analyze their association with thyroid cancer (Fig. 1). After adjusting for age, smoking status, and serum TSH level, BMI (modeled continuously, per 5 kg/m2 increase) remained a significant predictor of thyroid cancer (OR=1.63, 95% CI 1.24–2.10, P<0.001) in women. In men, OR for thyroid cancer based on a high BMI was 1.16 (95% CI 0.85–1.57, P=0.336), but this result was not statistically significant. The continuous rise in thyroid cancer prevalence was examined based on increasing BMI categories in both genders (Fig. 2). The prevalence of thyroid cancer, unadjusted for other factors, in underweight, normal-weight, overweight, obesity and severe obesity was 1.1, 1.4, 1.5, 1.5, and 2.9% in men and 1.5, 1.6, 2.5, 2.8, and 4.2% in women respectively.
In this study, we confirmed that obesity was associated with a higher prevalence of thyroid cancer in subjects that underwent thyroid ultrasonography at one healthcare facility. Our data do not represent the general population because we excluded subjects that had a history or family history of thyroid disease(s), which is partly supported by the very high proportion of papillary vs follicular thyroid cancers found in this sample set. However, examinees might have a tendency to choose a checkup program including thyroid ultrasonography more frequently if they have such problem(s), so we excluded those examinees to minimize selection bias. By doing so, we might have excluded a few cases at more advanced stages of thyroid cancer detected clinically, however, as the number of excluded cases due to history of thyroid cancer was low (n=10), this probably did not affect the results significantly.
We observed a positive correlation between BMI and thyroid cancer prevalence in women, but not in men, and this finding is consistent with previous studies. A pooled analysis of 12 case–control studies showed a strong association with a high BMI in women (OR 1.2, P=0.04) but not in men (10). A large European prospective study showed an overall 13% increase in thyroid cancer risk based on an increase in BMI in women (P=0.025), but not in men (11). In a similar European prospective study, BMI associated positively with thyroid cancer only in women (17). On the other hand, Kitahara et al. (18) reported a pooled analysis of five prospective studies and concluded that BMI was associated with thyroid cancer risk in both men (HR 1.21, 0.97–1.49) and women (HR 1.16, 1.08–1.24). While the prevalence of thyroid cancer increased markedly in the severe obesity group in men, prevalence increased continuously with increasing BMI in women in our study. This might suggest that obesity has more profound effects on the development of thyroid cancer in women than in men; however, a reason for these gender differences is not completely understood.
This cross-sectional study has several limitations in its examination of potential risk factors for thyroid cancer. The etiologically relevant period from exposure of potential risk factor to the time of development of thyroid cancer is needed to identify a causal relationship definitely. In our study, parameters of obesity and metabolic syndrome were collected at the same time as thyroid cancer diagnosis. The association between these parameters and thyroid cancer might have been influenced by so-called ‘reverse causation’. Nonetheless, this study has several strengths. First, all 15 068 subjects underwent thyroid ultrasonography, regardless of subjective symptoms. For this reason, almost all thyroid cancer cases were detected at very early stages, and this might represent the true prevalence of the disease. In previous epidemiological studies, thyroid cancer diagnosis was based on clinical detection rather than routine ultrasonography. This might have underestimated the true prevalence of thyroid cancer. Secondly, this is the first study evaluating potential risk factors for thyroid cancer such as parameters for obesity and metabolic syndrome, insulin and TSH levels, and smoking status within a single cohort. As many studies have investigated that the association between obesity and thyroid cancer was epidemiological in nature, serum insulin and TSH levels were not evaluated. Thirdly, thyroid ultrasonography and biochemical data were available from a single time point. Fourthly, we included subjects with a basal TSH value of 0.4–10.0 mU/l to avoid confounding effects of overt thyroid dysfunction on adiposity. Fifthly, we applied the same diagnostic and follow-up strategies for thyroid nodules to avoid selection bias. Many patients were followed at the same healthcare center. The last strength of this study is its large sample size.
The relationship between obesity and carcinogenesis is not yet well understood. Hyperinsulinemia and/or increased levels of insulin-like growth factors have been recognized as potential contributors, especially in colon, breast, endometrial, and pancreatic cancer (19, 20, 21). However, our study did not support this scenario in thyroid cancer. Serum insulin levels did not show any differences between cancer and healthy subjects in either genders. This means that other mechanism(s) are responsible for the link between obesity and thyroid cancer. White adipose tissue (WAT) represents a source of progenitor cells, which may explain an alternative mechanism for the adverse effects of obesity. Recruitment of adipose stem cells (ASC) into tumors promotes tumor vascularization and growth in mice (22, 23). Injection of human WAT CD34+ endothelial progenitor cells contributes to similar effects (24). In addition, obesity increases the circulation of CD34+ progenitor cells in humans (25). Obesity is a medical condition of WAT excess, which means that a greater reservoir of ASC is available. The role of ASC in supporting tumor neovascularization provides new insights into the mechanisms linking obesity with cancer. Future studies are needed to better understand the role of ASC in obese thyroid cancer patients.
TSH plays a major role in the regulation of thyroid cell growth and several studies have reported an association between TSH and thyroid cancer (26, 27, 28). However, we found no association between serum TSH levels and thyroid cancer risk. Gerschpacher et al. (29) reported that TSH is not involved in the de novo oncogenesis of PTMCs but instead plays a role in the progression of preexisting cancers. This may explain our results that showed no association of TSH with thyroid cancer because 74% of thyroid cancer patients were PTMCs (Table 2). Nevertheless, our study did not evaluate the association between serum TSH and thyroid cancer because only subjects with TSH values between 0.4 and 10.0 mU/l were included.
This study had additional limitations as well. First, the study population was limited to individuals coming in for a voluntary health checkup and was not representative of the general population. Secondly, not all patients with abnormal cytological results underwent surgery at the Asan Medical Center. Sixty-three patients who did not undergo surgery at the Asan Medical Center might have undergone surgery in other hospitals. Some of them might have been diagnosed with benign thyroid disease; thus, thyroid cancer prevalence might have been slightly overestimated. Thirdly, we did not repeatedly measure serum insulin and TSH levels. A single insulin or TSH value might be insufficient for cancer risk analysis. Fourthly, it is unclear how these data can be applied to different populations, as routine health checkups in most parts of the world do not include thyroid ultrasonography. Many thyroid cancers diagnosed in our study were indolent or clinically insignificant because thyroid cancers were detected at very early stages by thyroid ultrasonography, not by clinical examination. Therefore, the associations between obesity and thyroid cancers in this study may not be applied to clinically significant cancers. Fifthly, obese subjects may be less likely to be detected with thyroid cancer than normal-weight subjects by routine clinical examinations because detection of cancer by palpation may be difficult. So, they had more chance to be diagnosed with thyroid cancer in ultrasonography screening instead of routine clinical examination, which was a potential source of bias. Sixthly, we lacked information on other potential risk factors, such as socioeconomic status, physical activity, alcohol intake, and exogenous hormone use in women. We could not analyze those characteristics and association with thyroid cancer. Despite these limitations, our study clearly showed that obesity was associated with an increase in the prevalence of thyroid cancer. Serum TSH and insulin levels, known as risk factors for cancer, were not related to thyroid cancer.
Obesity is a major public health problem worldwide and its prevalence continues to increase (7, 8). The incidence of thyroid cancer has also been increasing in many countries (1, 2). Studies on the positive association between obesity and thyroid cancer will have important implications in the future, as obesity is a modifiable risk factor. Future studies on the effects of weight gain or weight loss on altering risk for thyroid cancer are essential.
In conclusion, obesity was associated with a higher prevalence of thyroid cancer in women when evaluated in a routine health checkup setting. This association was not related to either serum insulin or TSH levels. Further large-scale studies are needed to understand the mechanism(s) behind the association of obesity with thyroid cancer risk.
Declaration of interest
The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.
This study was supported by the Research Grant Number 2012-0760 of the National Research Foundation of Korea.
ImaizumiMUsaTTominagaTNeriishiKAkahoshiMNakashimaEAshizawaKHidaASodaMFujiwaraS. Radiation dose–response relationships for thyroid nodules and autoimmune thyroid diseases in Hiroshima and Nagasaki atomic bomb survivors 55–58 years after radiation exposure. Journal of the American Medical Association20062951011–1022. (doi:10.1001/jama.295.9.1011).
Practice TPSoCTFoSoGuidelines of the Papanicolaou Society of Cytopathology for fine-needle aspiration procedure and reporting. The Papanicolaou Society of Cytopathology Task Force on Standards of Practice. Diagnostic Cytopathology199717239–247. (doi:10.1002/(SICI)1097-0339(199710)17:4<239::AID-DC1>3.0.CO;2-7).
ZhangYDaquinagATraktuevDOAmaya-ManzanaresFSimmonsPJMarchKLPasqualiniRArapWKoloninMG. White adipose tissue cells are recruited by experimental tumors and promote cancer progression in mouse models. Cancer Research2009695259–5266. (doi:10.1158/0008-5472.CAN-08-3444).
Martin-PaduraIGregatoGMarighettiPMancusoPCalleriACorsiniCPruneriGManzottiMLohsiriwatVRietjensM. The white adipose tissue used in lipotransfer procedures is a rich reservoir of CD34+ progenitors able to promote cancer progression. Cancer Research201272325–334. (doi:10.1158/0008-5472.CAN-11-1739).
BoelaertKHoracekJHolderRLWatkinsonJCSheppardMCFranklynJA. Serum thyrotropin concentration as a novel predictor of malignancy in thyroid nodules investigated by fine-needle aspiration. Journal of Clinical Endocrinology and Metabolism2006914295–4301. (doi:10.1210/jc.2006-0527).