Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 May 1.
Published in final edited form as: Surgery. 2012 Dec 4;153(5):711–717. doi: 10.1016/j.surg.2012.11.009

Significance of MDM2 and P14ARF polymorphisms in susceptibility to differentiated thyroid carcinoma

Fenghua Zhang 1,2,*, Li Xu 1,*, Qingyi Wei 3, Xicheng Song 1,4, Erich M Sturgis 1,3, Guojun Li 1,3
PMCID: PMC3610784  NIHMSID: NIHMS421897  PMID: 23218882

Abstract

Background

Murine double minute 2 (MDM2) oncoprotein and p14ARF tumor suppressor play pivotal roles in regulating p53 and function in the MAPK pathway, which is frequently mutated in differentiated thyroid carcinoma (DTC). We hypothesized that functional polymorphisms in the promoters of MDM2 and p14ARF contribute to the inter-individual difference in predisposition to DTC.

Methods

MDM2-rs2279744, MDM2-rs937283, p14ARF-rs3731217, and p14ARF-rs3088440 were genotyped in 303 patients with DTC and 511 cancer-free controls. Multivariate logistic regression analysis was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs).

Results

MDM2-rs2279744 and p14ARF-rs3731217 were associated with a significantly increased risk of DTC (MDM2-rs2279744: TT vs. TG/GG, OR = 1.5, 95% CI, 1.1–2.0; p14ARF-rs3731217: TG/GG vs. TT, OR = 1.7, 95% CI, 1.2–2.3). No association was found for MDM2-rs937283 or p14ARF-rs3088440. Individuals carrying 3–4 risk genotypes of MDM2 and p14ARF had 2.2 times (95% CI, 1.4–3.5) the DTC risk of individuals carrying 0–1 risk genotypes (Ptrend = 0.021). The combined effect of MDM2 and p14ARF on DTC risk was confined to young subjects (≤45 years), non-smokers, non-drinkers, and subjects with a first-degree family history of cancer. These associations were quite similar in strength when cases were restricted to those with papillary thyroid cancer.

Conclusion

Our results suggest that polymorphisms of MDM2 and p14ARF contribute to the inter-individual difference in susceptibility to DTC, either alone or more likely jointly. The observed associations warrant further confirmation in independent studies.

Keywords: papillary thyroid carcinoma, p53 pathway, case-control study

Introduction

Differentiated thyroid carcinoma (DTC) accounts for more than 90% of all thyroid cancer cases and consists of three histological types: papillary, follicular, and Hürthle cell. The incidence of thyroid cancer in the United States has been increasing sharply since the mid-1990s, with 56,460 new thyroid cancer cases expected in 2012.1 Remarkably, the increasing incidence has been observed for all subgroups of sex, age and races/ethnicities and for tumors of all stages.2 Although the rise in incidence has been thought to be partly due to improved diagnosis, a complete explanation remains unknown.2 Exposure to ionizing radiation related to medical treatment or fallout from nuclear accidents during childhood is a confirmed exogenous risk factor for DTC, though only a fraction of exposed individuals develop DTC, suggesting the significance of genetic factors in the predisposition to DTC.3

Activating mutations of BRAF, RAS or RET/PTC are observed in more than two-thirds of cases of human papillary thyroid carcinoma (PTC), supporting activation of the MAPK pathway as a major genetic event in PTC carcinogenesis.4 The activated MAP kinases phosphorylate a number of substrates, including p53. Specifically, p53 is a principal mediator of response to ionizing radiation, in which normal p53 is activated and induces cell cycle arrest, apoptosis or senescence as appropriate.5 Somatic mutations that inactivate the p53 gene are detected in approximately 50% of human cancers,6 but in thyroid cancer, the mutation rate is very low, except in the rare anaplastic histotype.7 Alternatively, p53 can be inactivated through regulatory mechanisms, such as the p14ARF-MDM2-p53 pathway. Indeed, abnormal expression of p14ARF and MDM2 (murine double minute 2) has been observed in PTC tumor tissues compared to paired normal tissues, supporting involvement of the p14ARF-MDM2-p53 pathway in thyroid tumorigenesis.810

In the p14ARF-MDM2-p53 pathway, MDM2 negatively regulates p53 via several different mechanisms, including inhibition of p53-mediated transcriptional activity through binding with the p53 trans-activation domain and degradation of p53 through directly functioning as an E3 ubiquitin ligase or shuttling p53 from nucleus to cytoplasm to expose it to proteasome.11 On the other hand, p14ARF acts as an activator of p53 by interfering directly with MDM2 and neutralizing its inhibitory effects on p53.12 Coordinately, MDM2 and p14ARF regulate stabilization and activation of p53 in a delicately controlled manner through an autoregulatory feedback mechanism, which is critical to the p53-mediated stress response. 13 Besides, both MDM2 and p14ARF interact with the MAPK signaling pathway directly in a p53-independent manner.1416 Interestingly, oncogenic Ras induces expression of both MDM2 and p14ARF, though these interactions vary by cell type and result in different downstream effects on cell cycle control and/or apoptosis.14, 17 Moreover, MDM2 and p14ARF display p53-independent oncogenic and tumor suppressor activities, respectively, through their interactions with a number of other proteins that are important in cell cycle control, such as E2F/DP1, ATM and RB.12, 18

Given the pivotal roles of MDM2 and p14ARF in regulating p53 activity and function in the MAPK pathway, it is biologically plausible that genetic variations of MDM2 and p14ARF may affect the p53-mediated response to environmental stressors, including ionizing radiation, leading to inter-individual differences in predisposition to DTC. Indeed, numerous studies have suggested that MDM2 and p14ARF polymorphisms are potential susceptibility biomarkers for cancer risk;1923 however, no study of the impact of such polymorphisms on thyroid cancer risk has been reported. To explore the impact of MDM2 and p14ARF polymorphisms on DTC risk, we chose 4 common single-nucleotide polymorphisms (SNPs) in MDM2 (rs2279744, rs937283) and p14ARF (rs3731217, rs3088440). We chose these SNPs because they all 1) reside in the promoter regions of genes with potential functional significance, 2) have a minor allele frequency > 10% in Caucasian populations (resource: dbSNP and SNP500Cancer project, maintained by the National Cancer Institute), and 3) have been associated with cancer risk.19, 20, 24, 25

Materials and Methods

Study subjects

The case-control study within which this analysis was performed was conducted at MD Anderson Cancer Center, as described previously.26, 27 In brief, 303 patients with DTC were recruited from November 1999 through October 2008 with a final diagnosis confirmed by histopathology, and 511 cancer-free controls were visitors to the same institution recruited from November 1996 to March 2005 for a molecular epidemiological study of squamous cell carcinoma of the head and neck. Exclusion criteria for cases and controls included age younger than 18 years, prior malignancy (except for nonmelanoma skin cancer), blood transfusion in the past 6 months, or current receipt of immunosuppressant medications. The study was approved by the Institutional Review Board, and each participant gave written informed consent prior to recruitment.

All recruited subjects completed a self-administered questionnaire and donated 20 ml of blood for laboratory analysis. Race/ethnicity was self-reported and categorized as non-Hispanic white or other. Subjects who had smoked more than 100 cigarettes during their lifetimes were defined as smokers, and those who had quit smoking for at least 1 year before enrollment were defined as former smokers. Subjects who consumed alcohol at least once a week for more than 1 year were defined as drinkers, and those who had quit such alcohol use for at least 1 year before enrollment were defined as former drinkers. Radiation exposure was defined as previous whole-body or head-and-neck-specific medical irradiation.

MDM2 and p14ARF genotyping

Genomic DNA was extracted from blood samples using the QIAamp DNA blood mini kit (QIAGEN Inc, Valencia, CA) according to the manufacturer’s instructions. We genotyped the selected SNPs of MDM2 and p14ARF genes by polymerase chain reaction–restriction fragment length polymorphism assay, as described in detail previously.20, 22, 23 Genotyping was performed by laboratory personnel blinded to case-control status. Greater than 99% concordance was observed in the repeated analysis in a randomly selected subset of 10% of the samples.

Statistical analysis

The chi-square test was used to compare selected demographic characteristics and MDM2 and p14ARF genotype frequencies between cases and controls. The chi-square test for Hardy-Weinberg equilibrium was performed for each SNP in controls. Odds ratios and 95% CIs were calculated for risk of DTC in association with MDM2 and p14ARF genotypes, individually and in combination, by using a multivariate logistic regression model with adjustment for potential confounders. The analyses were further stratified by age, sex, race/ethnicity, smoking, alcohol drinking and first-degree family history of cancer. We also estimated the association between PTC risk and MDM2 and p14ARF genotypes using the same analyses and covariates as above. All statistical tests were 2-sided, and P < 0.05 was accepted as statistically significant. All analyses were performed using SAS software, version 9.2 (SAS Institute Inc., Cary, NC).

Results

The demographic characteristics of the patients with DTC and controls are presented in Table 1. The majority of the cases were diagnosed with PTC (273, 90.1%). Significant differences in sex, age, race/ethnicity and smoking status were observed between DTC (and PTC) cases and controls. A predominance of subjects had no history of radiation exposure (> 97%), and there was no difference between cases and controls in the proportion exposed to radiation.

Table 1.

Demographic and exposure characteristics of thyroid cancer case and control subjects

Variable Controls (No. = 511) DTC cases (No. = 303) P* PTC cases (No. = 273) P*


No. (%) No. (%) No. (%)
Age, years
 ≤45 198 (38.7) 162 (53.5) <0.001 153 (56.0) <0.001
 > 45 313 (61.3) 141 (46.5) 120 (44.0)
Sex
 Male 245 (47.9) 103 (34.0) <0.001 89 (32.6) <0.001
 Female 266 (52.1) 200 (66.0) 184 (67.4)
Race/ethnicity
 Non-Hispanic white 401 (78.5) 214 (70.6) 0.012 191 (70.0) 0.008
 Other 110 (21.5) 89 (29.4) 82 (30.0)
First-degree family history of cancer
 Yes 257 (51.4) 151 (50.0) 0.701 133 (48.9) 0.506
 No 243 (48.6) 151 (50.0) 139 (51.1)
Smoking status
 Current 99 (19.6) 29 (9.6) <0.001 28 (10.3) 0.002
 Former 114 (22.5) 69 (22.8) 59 (21.7)
 Never 293 (57.9) 204 (67.6) 185 (68.0)
Alcohol drinking status
 Current 171 (33.8) 95 (31.4) 0.112 89 (32.7) 0.107
 Former 75 (14.8) 32 (10.6) 27 (10.0)
 Never 260 (51.4) 175 (58.0) 156 (57.3)
Radiation exposure
 No 504 (98.6) 293 (97.0) 0.110 264 (97.1) 0.127
 Yes 7 (1.4) 9 (3.0) 8 (2.9)
*

Chi-square test, compared to controls.

Abbreviations: DTC, differentiated thyroid carcinoma; PTC, papillary thyroid carcinoma.

Among the controls, the genotype distributions of the 4 SNPs were in Hardy-Weinberg equilibrium (P > 0.05). The genotype frequencies of MDM2 and p14ARF and genotype-specific risk estimates for DTC and PTC are shown in Table 2. Two SNPs, MDM2-rs2279744 and p14ARF-rs3731217, were significantly associated with DTC risk. The adjusted odds ratios (ORs) were 1.5 (P = 0.011) and 1.7 (P = 0.002) for rs2279744 TT genotype and rs3731217 TG/GG genotypes, respectively. No association was found between MDM2-rs937283 or p14ARF-rs3088440 and DTC risk. Similar to the findings for DTC risk, MDM2-rs2279744 and p14ARF-rs3731217 were associated with a moderately increased risk of PTC.

Table 2.

MDM2 and p14ARF genotype frequencies and risk estimates for DTC and PTC

Genotypes Controls (No. = 511) DTC cases (No. = 303) P* PTC cases (No. = 273) P* Adjusted OR (95% CI)



No. (%) No. (%) No. (%) DTC PTC
MDM2 rs2279744
TG/GG 341 (66.7) 173 (57.1) 118 (43.2) 1.0 1.0
TT 170 (33.3) 130 (42.9) 0.006 155 (56.8) 0.006 1.5 (1.1–2.0) 1.5 (1.1–2.1)
MDM2 rs937283
AA 173 (33.9) 104 (34.3) 92 (33.7) 1.0 1.0
AG/GG 338 (66.1) 199 (65.7) 0.892 181 (66.3) 0.965 1.0 (0.7–1.3) 1.0 (0.7–1.4)
p14ARF rs3731217
TT 388 (75.9) 198 (65.4) 181 (66.3) 1.0 1.0
TG/GG 123 (24.1) 105 (34.6) 0.001 92 (33.7) 0.004 1.7 (1.2–2.3) 1.5 (1.1–2.2)
p14ARF rs3088440
GG 402 (78.7) 241 (79.5) 216 (79.1) 1.0 1.0
GA/AA 109 (21.3) 62 (20.5) 0.769 57 (20.9) 0.883 1.1 (0.7–1.5) 1.1 (0.7–1.6)
*

Chi-square test, compared to controls.

Adjusted for age, sex, race/ethnicity, first degree family history of cancer, smoking status, alcohol drinking status, and radiation exposure.

Abbreviations: MDM2, murine double minute 2; DTC, differentiated thyroid carcinoma; OR, odds ratio; PTC, papillary thyroid carcinoma.

On the basis of the risk estimates in Table 2, we grouped subjects according to the number of risk genotypes (Table 3). The risk genotypes were MDM2-rs2279744 TT genotype, MDM2-rs937283 AG/GG genotypes, p14ARF-rs3731217 TG/GG genotypes, and p14ARF-rs3088440 GA/AA genotypes. As shown in Table 3, when subjects were divided into 3 groups—those carrying 0–1, 2 or 3–4 risk genotypes—those carrying 3–4 risk genotypes had 2.2 times the DTC risk of those with 0–1 risk genotypes and also a higher risk than those with only 2 risk genotypes (OR = 1.2) (Ptrend = 0.021). A similar trend was found for PTC risk (Ptrend = 0.014). When subjects were dichotomized into those with 0–1 or 2–4 risk genotypes, subjects with at least 2 risk genotypes had a significantly increased risk of developing DTC (OR = 1.4, 95% CI, 1.1–1.9) or PTC (OR = 1.5, 95% CI, 1.1–2.0). In addition, the combined risk genotypes of four variants were significantly associated with patient’s stage. Compared with the DTC patients with 0–2 risk genotypes of the four variants, those carrying 3–4 risk genotypes were approximately 2.2 times more like to have an early disease stage (I–II) (OR, 2.2; 95% CI, 1.4 – 3.4) and 2.5 times more likely to have a late disease stage (III–IV) (OR, 2.5; 95% CI, 1.3 – 4.4), and the association was in a significant dose-effect relationship (Trend test, P<0.001).

Table 3.

Combination effect of MDM2 and P14ARF genotypes on risk of DTC and PTC

No. of risk genotypes Controls (No. = 511) DTC cases (No. = 303) P* PTC cases (No. = 273) P* Adjusted OR (95% CI)



No. (%) No. (%) No. (%) DTC PTC
0–1 267 (52.3) 132 (43.6) 116 (42.5) 1.0 1.0
2 188 (36.8) 110 (36.3) 103 (37.7) 1.2 (0.9–1.6) 1.3 (0.9–1.8)
3–4 56 (10.9) 61 (20.1) 0.009 54 (19.8) 0.001 2.2 (1.4–3.5) 2.2 (1.4–3.5)
Ptrend = 0.021 Ptrend = 0.014
0–1 267 (52.3) 132 (43.6) 116 (42.5) 1.0 1.0
2–4 244 (47.7) 171 (56.4) 0.017 157 (57.5) 0.009 1.4 (1.1–1.9) 1.5 (1.1–2.0)
*

Chi-square test, compared to controls.

Adjusted for age, sex, race/ethnicity, first-degree family history of cancer, smoking status, alcohol drinking status and radiation exposure.

Abbreviations: MDM2, murine double minute 2; DTC, differentiated thyroid carcinoma; OR, odds ratio; PTC, papillary thyroid carcinoma.

Stratification analysis with dichotomized risk genotypes is shown in Table 4. A significant association between DTC risk and 2 or more risk genotypes appeared restricted to specific subgroups, though no significant interaction was found between the risk genotypes and the stratified factors (P > 0.05). The risk of DTC was significantly higher for individuals in the high-risk genotype group (2–4 risk genotypes) for young subjects (≤ 45 years) (OR = 1.6, 95% CI, 1.0–2.5, P = 0.048), non-smokers (OR = 1.5, 95% CI, 1.1–2.2, P = 0.022), non-drinkers (OR = 1.6, 95% CI, 1.0–2.3, P = 0.032), and subjects with a first-degree family history of cancer (OR = 1.5, 95% CI, 1.0–2.3, P = 0.049).

Table 4.

Subgroup analysis of combined risk genotypes in association with DTC risk

Stratification variable Low-risk (ref.) genotype (0–1)
Adjusted OR* (95% CI) High-risk genotype (2–4)
Adjusted OR* (95% CI)
Controls No. (%) DTC cases No. (%) Controls No. (%) DTC cases No. (%)
Age, years
 ≤45 103 (52.0) 66 (40.7) 1.0 95 (48.0) 96 (59.3) 1.6 (1.0–2.5)
 > 45 164 (52.4) 66 (46.8) 1.0 149 (47.6) 75 (53.2) 1.2 (0.8–1.7)
Sex
 Female 139 (52.3) 84 (42.0) 1.0 127(47.7) 116 (58.0) 1.5 (1.0–2.2)
 Male 128 (52.2) 48 (46.6) 1.0 117(47.8) 55 (53.4) 1.3 (0.8–2.1)
Race
 Non-Hispanic white 195 (48.6) 88 (41.1) 1.0 206 (51.3) 126 (58.88) 1.3 (0.9–1.8)
 Other 72 (65.5) 44 (49.4) 1.0 38 (34.5) 45 (50.6) 2.0 (1.1–3.7)
Smoking status
 Ever 112 (52.6) 48 (49.0) 1.0 101 (47.4) 50 (51.0) 1.3 (0.8–2.1)
 Never 153 (52.2) 83 (40.7) 1.0 140 (47.8) 121 (59.3) 1.5 (1.1–2.2)
Alcohol drinking status
 Ever 125 (50.8) 57 (44.9) 1.0 121 (49.2) 70 (57.7) 1.3 (0.8–2.0)
 Never 140 (53.9) 74 (42.3) 1.0 120 (46.1) 101 (55.1) 1.6 (1.0–2.3)
First-degree family history of cancer
 Yes 128 (49.8) 59 (39.1) 1.0 129 (50.2) 92 (60.9) 1.5 (1.0–2.3)
 No 134 (55.1) 72 (47.7) 1.0 109 (44.9) 79 (52.3) 1.3 (0.9–2.0)
*

Adjusted for age, sex, race/ethnicity, first-degree family history of cancer, smoking status, alcohol drinking status and radiation exposure.

Abbreviations: DTC, differentiated thyroid carcinoma; OR, odds ratio.

Discussion

In the present study, we found that MDM2-rs2279744 and p14ARF-rs3731217 were significantly associated with a moderately increased risk of developing DTC, particularly PTC. Moreover, subjects who carried at least 3 risk genotypes of MDM2 and p14ARF genes had an approximately 2.2-fold increased risk of DTC compared to those who carried 0–1 risk genotypes. MDM2 and p14ARF lie within the same pathway in regulation of p53’s tumor suppressor function. Therefore, it is plausible that polymorphisms of MDM2 and p14ARF could jointly affect individual susceptibility to cancer. Indeed, our results showed an increased risk of DTC in association with increased number of risk genotypes of MDM2 and p14ARF in a dose-response manner.

In the present study, the combined effect of MDM2 and p14ARF risk genotypes on DTC risk was more pronounced in non-smokers and non-drinkers. This seems to be paradoxical because smoking and alcohol use, both of which are known environmental stresses, could trigger p53-mediated stress response and individuals with inherited differences in p53 activity would respond differently to such stresses. Indeed, one previous study found that individuals who were smokers and carried the risk allele of MDM2-rs2279744 had a significantly greater risk for lung cancer than those who were either smokers or carried the risk allele but not both.28 Smoking is a risk factor for lung cancer, but in terms of thyroid cancer, a number of epidemiological studies observed reduced risk of thyroid cancer for smokers, in agreement with what was observed in our case-control population, suggesting a different mechanism of smoking in thyroid cancer development.29 A recent study observed a significantly lower level of thyroid-stimulating hormone linked to smoking, suggesting an inhibitory effect of smoking on the thyroid,30 which may override the risk effect of exposure to tobacco carcinogens in thyroid tumorigenesis. Therefore, our findings of greater risk in non-smokers may suggest an effect of p53-mediated stress response associated with other risk factors. We also observed a greater risk associated with MDM2 and p14ARF risk genotypes in younger subjects (≤45 years) and subjects with a first-degree family history of cancer, suggesting an early age of onset of cancer, a characteristic of inherited susceptibility to DTC. It is noted, however, that no significant interaction was detected between risk genotypes and these factors (age, smoking, alcohol drinking and family history of cancer). On the other hand, we could not exclude the possibility that the non-significant results in smokers, drinkers and subjects with no family history of cancer are because of the small numbers of subjects in these subgroups. Consequently, larger studies are warranted to confirm our findings. In addition, although a significantly increased risk associated with the combined risk genotypes was found in subjects other than non-Hispanic whites, the mixed racial/ethnic background and relatively limited number of subjects made it impossible to attribute the significant association to any specific race/ethnicity group.

MDM2-rs2279744 (also referred to as SNP309, T/G) is located in the first intron of the MDM2 promoter, which drives transcription of the MDM2 gene.14 Bond et al. initially described this polymorphism and found that the GG genotype enhanced the binding affinity of the transcriptional activator Sp1, which results in over-expression of MDM2 and attenuation of p53 stress response.31 In our study, however, the variant TG/GG genotypes were associated with reduced risk of DTC, which seems to contradict the evidence for functional effect. But such an observation is not odd for MDM2-rs2279744. As reviewed in a recent meta-analysis, the association between rs2279744 and cancer risk varies by cancer type, with the TG/GG genotypes associated with an increased risk of lung cancer and colorectal cancer but no risk of breast cancer or ovarian cancer and even a reduced risk of prostate cancer.19 The inconsistency between results of in vitro functional assays and epidemiology studies may reflect the complex effect of SNPs on tumorigenesis, which shows tissue-specific effects and is influenced by other genes and environmental exposures.32 Thus, our findings need to be validated in future studies.

It has been long suspected that female-specific hormones including estrogen contribute to thyroid cancer development, given the higher incidence of thyroid cancer in females (the female-to-male ratio of 3:1), which peaks at puberty.1 Expression of estrogen receptor-α was previously observed in human PTC, whereas no expression was observed in normal thyroid cells.33 Interestingly, the expression of estrogen receptor-α was shown to induce MDM2 transcription, which is mediated, at least in part, by the promoter region containing rs2279744.34 Bond et al. suggested that an active estrogen-signaling pathway was needed for rs2279744 to exhibit its effect on human tumor formation, and indeed they observed gender-specific differences in development of breast cancer and colorectal cancer in association with rs2279744.35, 36 Consistent with those findings, in the present study, the significant association between rs2279744 and DTC risk was likely confined to women, though we did not find a significant interaction with sex. The lack of significant interaction could be due to the limited sample size.

We observed a significant association between p14ARF-rs3731217 and DTC risk. This SNP has been used as a tag SNP for a 174-kb region of linkage disequilibrium at 9p21.3, which has been previously reported to be associated with risk of melanoma and leukemia.25, 37 Specifically, rs3731217 was in a strong association with risk of childhood acute lymphoblastic leukemia,25 for which radiation exposure is a well-known risk factor as well. Our finding of an association between p14ARF-rs3731217 and DTC risk is also in line with a previous study reporting that the TG/GG genotypes of rs3731217 were in association with a moderately increased risk of developing a second primary malignancy in patients with squamous cell carcinoma of the head and neck.20

The results of the present study need to be interpreted with caution. Since the majority of the recruited subjects in this study were non-Hispanic whites, our results are not generalizable to other races/ethnicities. In addition, we used a hospital-based case-control study design. Therefore, the potential for selection bias needs to be considered. Furthermore, we cannot rule out the possibility that the significant SNPs may not be the causal loci but rather be in linkage disequilibrium with the causal loci. Finally, the sample size limited the statistical power to detect potential subtle effects of SNPs on cancer risk, especially in stratification analysis.

In summary, the data we present support our hypothesis that polymorphisms of MDM2 and p14ARF contribute to the inter-individual difference in susceptibility to DTC and suggest that inherited genetic variations in the MDM2-p14ARF-p53 pathway likely affect susceptibility to DTC either alone or more likely jointly. These findings argue that low-penetrance genes (polymorphisms) account for a significant proportion of the predisposition to sporadic DTC and that multiple genetic variations together contribute to DTC susceptibility.38 To confirm the role of MDM2 and p14ARF polymorphisms in thyroid cancer risk, further validation in larger population-based studies and assessment of functional significance of these variants are anticipated.

Acknowledgments

Funding: This work was supported in part by an American Thyroid Association Thyroid Cancer Grant (to E.M.S.), The University of Texas MD Anderson Cancer Center start-up funds (to E.M.S.), National Institutes of Health grants U01 DE019765-01 (to Adel K. El-Naggar), R01 ES-11740 (to Q.W.), CA016672 (to John Mendelsohn), CA135679 (to G.L.), and CA133099 (to G.L.), and a cancer prevention fellowship (to L.X.) supported by Halliburton Employees Fellow in Cancer Prevention funds (Shine Chang, Principal Investigator).

The authors thank Margaret Lung, Kathyrn Patterson, Liliana Mugartegui, and Jenny Vo for their help with subject recruitment, Chong Zhao and Yingdong Li for DNA extraction and genotyping analysis, and Stephanie P Deming for manuscript editing.

Abbreviations

DTC

differentiated thyroid carcinoma

MDM2

murine double minute 2

PTC

papillary thyroid carcinoma

OR

odds ratio

CI

confidence interval

Footnotes

Conflict of interest: The authors declare no conflict of interest.

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.

References

  • 1.Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin. 2012;62:10–29. doi: 10.3322/caac.20138. [DOI] [PubMed] [Google Scholar]
  • 2.Simard EP, Ward EM, Siegel R, Jemal A. Cancers with increasing incidence trends in the United States: 1999 through 2008. CA Cancer J Clin. 2012;62:118–28. doi: 10.3322/caac.20141. [DOI] [PubMed] [Google Scholar]
  • 3.Ron E, Lubin JH, Shore RE, Mabuchi K, Modan B, Pottern LM, et al. Thyroid cancer after exposure to external radiation: a pooled analysis of seven studies. Radiat Res. 1995;141:259–77. [PubMed] [Google Scholar]
  • 4.Nikiforova MN, Nikiforov YE. Molecular diagnostics and predictors in thyroid cancer. Thyroid. 2009;19:1351–61. doi: 10.1089/thy.2009.0240. [DOI] [PubMed] [Google Scholar]
  • 5.Horn HF, Vousden KH. Coping with stress: multiple ways to activate p53. Oncogene. 2007;26:1306–16. doi: 10.1038/sj.onc.1210263. [DOI] [PubMed] [Google Scholar]
  • 6.Soussi T, Ishioka C, Claustres M, Beroud C. Locus-specific mutation databases: pitfalls and good practice based on the p53 experience. Nat Rev Cancer. 2006;6:83–90. doi: 10.1038/nrc1783. [DOI] [PubMed] [Google Scholar]
  • 7.Shahedian B, Shi Y, Zou M, Farid NR. Thyroid carcinoma is characterized by genomic instability: evidence from p53 mutations. Mol Genet Metab. 2001;72:155–63. doi: 10.1006/mgme.2000.3114. [DOI] [PubMed] [Google Scholar]
  • 8.Horie S, Maeta H, Endo K, Ueta T, Takashima K, Terada T. Overexpression of p53 protein and MDM2 in papillary carcinomas of the thyroid: Correlations with clinicopathologic features. Pathol Int. 2001;51:11–5. doi: 10.1046/j.1440-1827.2001.01159.x. [DOI] [PubMed] [Google Scholar]
  • 9.Ferru A, Fromont G, Gibelin H, Guilhot J, Savagner F, Tourani JM, et al. The status of CDKN2A alpha (p16INK4A) and beta (p14ARF) transcripts in thyroid tumour progression. Br J Cancer. 2006;95:1670–7. doi: 10.1038/sj.bjc.6603479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Prodosmo A, Giglio S, Moretti S, Mancini F, Barbi F, Avenia N, et al. Analysis of human MDM4 variants in papillary thyroid carcinomas reveals new potential markers of cancer properties. J Mol Med (Berl) 2008;86:585–96. doi: 10.1007/s00109-008-0322-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Freedman DA, Wu L, Levine AJ. Functions of the MDM2 oncoprotein. Cell Mol Life Sci. 1999;55:96–107. doi: 10.1007/s000180050273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ozenne P, Eymin B, Brambilla E, Gazzeri S. The ARF tumor suppressor: structure, functions and status in cancer. Int J Cancer. 2010;127:2239–47. doi: 10.1002/ijc.25511. [DOI] [PubMed] [Google Scholar]
  • 13.Stott FJ, Bates S, James MC, McConnell BB, Starborg M, Brookes S, et al. The alternative product from the human CDKN2A locus, p14(ARF), participates in a regulatory feedback loop with p53 and MDM2. Embo J. 1998;17:5001–14. doi: 10.1093/emboj/17.17.5001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ries S, Biederer C, Woods D, Shifman O, Shirasawa S, Sasazuki T, et al. Opposing effects of Ras on p53: transcriptional activation of mdm2 and induction of p19ARF. Cell. 2000;103:321–30. doi: 10.1016/s0092-8674(00)00123-9. [DOI] [PubMed] [Google Scholar]
  • 15.Sreeramaneni R, Chaudhry A, McMahon M, Sherr CJ, Inoue K. Ras-Raf-Arf signaling critically depends on the Dmp1 transcription factor. Mol Cell Biol. 2005;25:220–32. doi: 10.1128/MCB.25.1.220-232.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Eymin B, Claverie P, Salon C, Brambilla C, Brambilla E, Gazzeri S. p14ARF triggers G2 arrest through ERK-mediated Cdc25C phosphorylation, ubiquitination and proteasomal degradation. Cell Cycle. 2006;5:759–65. doi: 10.4161/cc.5.7.2625. [DOI] [PubMed] [Google Scholar]
  • 17.Palmero I, Pantoja C, Serrano M. p19ARF links the tumour suppressor p53 to Ras. Nature. 1998;395:125–6. doi: 10.1038/25870. [DOI] [PubMed] [Google Scholar]
  • 18.Iwakuma T, Lozano G. MDM2, an introduction. Mol Cancer Res. 2003;1:993–1000. [PubMed] [Google Scholar]
  • 19.Wo X, Han D, Sun H, Liu Y, Meng X, Bai J, et al. MDM2 SNP309 contributes to tumor susceptibility: a meta-analysis. J Genet Genomics. 2011;38:341–50. doi: 10.1016/j.jgg.2011.07.005. [DOI] [PubMed] [Google Scholar]
  • 20.Zhang Y, Sturgis EM, Zafereo ME, Wei Q, Li G. p14ARF genetic polymorphisms and susceptibility to second primary malignancy in patients with index squamous cell carcinoma of the head and neck. Cancer. 2011;117:1227–35. doi: 10.1002/cncr.25605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Yu H, Huang YJ, Liu Z, Wang LE, Li G, Sturgis EM, et al. Effects of MDM2 promoter polymorphisms and p53 codon 72 polymorphism on risk and age at onset of squamous cell carcinoma of the head and neck. Mol Carcinog. 2011;50:697–706. doi: 10.1002/mc.20806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Li G, Zhai X, Zhang Z, Chamberlain RM, Spitz MR, Wei Q. MDM2 gene promoter polymorphisms and risk of lung cancer: a case-control analysis. Carcinogenesis. 2006;27:2028–33. doi: 10.1093/carcin/bgl047. [DOI] [PubMed] [Google Scholar]
  • 23.Wang Z, Sturgis EM, Zhang Y, Huang Z, Zhou Q, Wei Q, et al. Combined p53-related genetic variants together with HPV infection increase oral cancer risk. Int J Cancer. 2011 doi: 10.1002/ijc.27335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Wang M, Zhang Z, Zhu H, Fu G, Wang S, Wu D, et al. A novel functional polymorphism C1797G in the MDM2 promoter is associated with risk of bladder cancer in a Chinese population. Clin Cancer Res. 2008;14:3633–40. doi: 10.1158/1078-0432.CCR-07-5155. [DOI] [PubMed] [Google Scholar]
  • 25.Sherborne AL, Hosking FJ, Prasad RB, Kumar R, Koehler R, Vijayakrishnan J, et al. Variation in CDKN2A at 9p21. 3 influences childhood acute lymphoblastic leukemia risk. Nat Genet. 2010;42:492–4. doi: 10.1038/ng.585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ho T, Li G, Lu J, Zhao C, Wei Q, Sturgis EM. Association of XRCC1 polymorphisms and risk of differentiated thyroid carcinoma: a case-control analysis. Thyroid. 2009;19:129–35. doi: 10.1089/thy.2008.0153. [DOI] [PubMed] [Google Scholar]
  • 27.Xu L, Doan PC, Wei Q, Liu Y, Li G, Sturgis EM. Association of BRCA1 functional single nucleotide polymorphisms with risk of differentiated thyroid carcinoma. Thyroid. 2011;22:35–43. doi: 10.1089/thy.2011.0117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Zhang X, Miao X, Guo Y, Tan W, Zhou Y, Sun T, et al. Genetic polymorphisms in cell cycle regulatory genes MDM2 and TP53 are associated with susceptibility to lung cancer. Hum Mutat. 2006;27:110–7. doi: 10.1002/humu.20277. [DOI] [PubMed] [Google Scholar]
  • 29.Kreiger N, Parkes R. Cigarette smoking and the risk of thyroid cancer. Eur J Cancer. 2000;36:1969–73. doi: 10.1016/s0959-8049(00)00198-2. [DOI] [PubMed] [Google Scholar]
  • 30.Soldin OP, Goughenour BE, Gilbert SZ, Landy HJ, Soldin SJ. Thyroid hormone levels associated with active and passive cigarette smoking. Thyroid. 2009;19:817–23. doi: 10.1089/thy.2009.0023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bond GL, Hu W, Bond EE, Robins H, Lutzker SG, Arva NC, et al. A single nucleotide polymorphism in the MDM2 promoter attenuates the p53 tumor suppressor pathway and accelerates tumor formation in humans. Cell. 2004;119:591–602. doi: 10.1016/j.cell.2004.11.022. [DOI] [PubMed] [Google Scholar]
  • 32.Rebbeck TR, Spitz M, Wu X. Assessing the function of genetic variants in candidate gene association studies. Nat Rev Genet. 2004;5:589–97. doi: 10.1038/nrg1403. [DOI] [PubMed] [Google Scholar]
  • 33.Di Vito M, De Santis E, Perrone GA, Mari E, Giordano MC, De Antoni E, et al. Overexpression of estrogen receptor-alpha in human papillary thyroid carcinomas studied by laser-capture microdissection and molecular biology. Cancer Sci. 2011;102:1921–7. doi: 10.1111/j.1349-7006.2011.02017.x. [DOI] [PubMed] [Google Scholar]
  • 34.Kinyamu HK, Archer TK. Estrogen receptor-dependent proteasomal degradation of the glucocorticoid receptor is coupled to an increase in mdm2 protein expression. Mol Cell Biol. 2003;23:5867–81. doi: 10.1128/MCB.23.16.5867-5881.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bond GL, Hirshfield KM, Kirchhoff T, Alexe G, Bond EE, Robins H, et al. MDM2 SNP309 accelerates tumor formation in a gender-specific and hormone-dependent manner. Cancer Res. 2006;66:5104–10. doi: 10.1158/0008-5472.CAN-06-0180. [DOI] [PubMed] [Google Scholar]
  • 36.Bond GL, Menin C, Bertorelle R, Alhopuro P, Aaltonen LA, Levine AJ. MDM2 SNP309 accelerates colorectal tumour formation in women. J Med Genet. 2006;43:950–2. doi: 10.1136/jmg.2006.043539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Amos CI, Wang LE, Lee JE, Gershenwald JE, Chen WV, Fang S, et al. Genome-wide association study identifies novel loci predisposing to cutaneous melanoma. Hum Mol Genet. 2011;20:5012–23. doi: 10.1093/hmg/ddr415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sturgis EM, Li G. Molecular epidemiology of papillary thyroid cancer: in search of common genetic associations. Thyroid. 2009;19:1031–4. doi: 10.1089/thy.2009.1597. [DOI] [PubMed] [Google Scholar]

RESOURCES