Abstract
A single nucleotide polymorphism (SNP) in the MDM2 promoter (a T to G exchange at nucleotide 309) has been found to be associated with tumor formation. Publication of this null report is important because an association between MDM2 SNP309 and lung cancer was previously reported in two independent studies. Our findings suggest that MDM2 SNP309 is not a strong factor in lung carcinogenesis. In addition, this is the first MDM2 SNP309 report on a population consisting of Caucasians in the United States and African-Americans. A strength of the study design is that the controls consist of both population and hospital controls. (Cancer Epidemiol Biomarkers Prev 2006;15(8):1559–61)
Introduction
MDM2 is a ubiquitin ligase that inhibits p53 and promotes its degradation (1). The variant G allele of MDM2 SNP309 heightens MDM2 protein levels and causes an attenuation of the p53 response pathway (2, 3) and may represent a cancer predisposing allele. The MDM2 SNP309 polymorphism was associated with a decreased age at the time of cancer diagnosis in Li-Fraumeni syndrome, sporadic sarcoma (3), and in colorectal patients with p53 wild-type tumors (4). The G allele of MDM2 SNP309 was associated with an increased risk of esophageal squamous cell carcinoma (5) but not breast or ovarian cancer (6). MDM2 SNP354 (E354E) was found to be associated with breast cancer risk (7).
Materials and Methods
Study Population
The case-control study design, inclusion and matching criteria, and demographics were described (10). Ninety-seven percent of the 1,224 study participants had sufficient DNA for analysis. Of these, 504 were lung cancer patients, 317 were hospital controls, and 363 were population controls. Four hundred four (33%) were African-Americans, and the remainder were Caucasians. The majority were current (n = 384, 32%) or former (n = 575, 49%) smokers. All but four samples were successfully genotyped for the MDM2 SNP309 polymorphism. Nine hundred ninety samples were genotyped previously for MDM2 SNP354, when fewer participants were enrolled in the ongoing study, and 98% (971) were successfully genotyped. The race, age, gender, and smoking status distributions for those with SNP354 genotype data were the same as the larger study population. The study was approved by the participating institutions' Review Boards.
Genotyping
SNP309 (rs2279744) was determined with a MGB Eclipse by Design assay (Nanogen, Inc., San Diego, CA; ref. 7). SNP354 (rs769412) was genotyped at the National Cancer Institute Genotyping Core Facility (http://snp500cancer.nci.nih.gov). All samples and 10% duplicates were blinded and randomized among the cases and controls. There was 100% and 98% concordance among the MDM2 SNP309 and SNP354 duplicates, respectively. TP53-01 (R72P, rs1042522) genotypes were determined by the National Cancer Institute Genotyping Core Facility (11).
Statistical Analysis
We assessed the associations between MDM2 SNP309 and SNP354 genotypes and risk of lung cancer after controlling for age, pack-years, and race by computing odds ratios (OR) and 95% confidence intervals (95% CI) using unconditional logistic regression analysis. The frequency distributions of the polymorphisms and the ORs were similar in the hospital- and population-based controls; therefore, the control groups were combined. Comparisons of mean age at lung diagnosis were tested using two-tailed t tests. Calculations were done using STATA software version 9 (STATA Corp., College Station, TX). Power analysis was done by assuming a dominant allele model using PS: Power and Sample Size Calculation version 2.1.31 by W.D. Dupont and W.D. Plummer (http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/PowerSampleSize; ref. 12).
Results
The MDM2 SNP309 genotype frequencies among the control groups were in Hardy-Weinberg equilibrium for the African-Americans (hospital, P = 0.25; population, P = 0.21) and Caucasians (hospital, P = 0.97; population, P = 0.58). For MDM2 SNP354, there was a violation of Hardy-Weinberg equilibrium among the African-American population controls (P = 0.02). A genotyping error cannot explain the violation because concordance among the duplicates was high, and there was Hardy-Weinberg equilibrium among the other control groups (African-American hospital, P = 0.66; Caucasian hospital, P = 1.00; Caucasian population, P = 0.89). There was a significant difference in genotype frequencies between African-Americans and Caucasians (SNP309, P < 0.001; SNP354, P = 0.01), but there was no significant difference between cases and controls [SNP309, P = 0.66 (African-Americans) and P = 0.58 (Caucasians); SNP354, P = 0.82 (African-Americans) and P = 0.75 (Caucasians)].
The variant MDM2 SNP309 and SNP354 polymorphisms exhibited no apparent relationship with the risk of lung cancer (Table 1). The variant alleles were also not associated with lung cancer when participants were stratified by pack-years of smoking (Table 2), smoking status (never, former, or current), gender, or by the TP53 R72P polymorphism (data not shown). The average age at diagnosis was not significantly different between those with no G allele and those with at least one G allele (African-Americans, P = 0.94; Caucasians, P = 0.58). MDM2 SNP309 was recently reported to be associated with an earlier age of colorectal cancer diagnosis among patients whose tumors have a wild-type TP53 gene (4). We could not study age at diagnosis by tumor TP53 status but investigated the relationship between the MDM2 SNP309 genotype and the TP53 R72P polymorphism. Among patients with the TP53 R/R genotype, the mean age at diagnosis was 65.7 ± 9.8 for patients with the T/T genotype and 66.6 ± 11.2 for patients with the T/G or G/G genotype (P = 0.57). Among patients with at least one TP53 P allele, the mean age at diagnosis was 64.6 ± 10.2 for patients with the T/T genotype and 67.0 ± 9.4 for patients with the T/G or G/G genotype (P = 0.07). There was also no difference when stratified by race (data not shown).
Polymorphism . | Genotype . | Cases, n (%) . | Controls, n (%) . | OR (95% CI) . | ||||
---|---|---|---|---|---|---|---|---|
MDM2 SNP309 | ||||||||
Overall* | T/T | 261 (51.8) | 385 (57.0) | 1.00 | ||||
T/G | 187 (37.1) | 234 (34.6) | 0.93 (0.70-1.91) | |||||
G/G | 56 (11.1) | 57 (8.4) | 1.22 (0.78-1.91) | |||||
T/G + G/G | 243 (48.2) | 291 (43.0) | 0.98 (0.75-1.28) | |||||
African-Americans† | T/T | 111 (83.5) | 203 (79.6) | 1.00 | ||||
T/G | 20 (15.0) | 47 (18.4) | 0.70 (0.38-1.32) | |||||
G/G | 2 (1.5) | 5 (2.0) | 0.52 (0.09-3.05) | |||||
T/G + G/G | 22 (16.5) | 52 (20.4) | 0.68 (0.37-1.25) | |||||
Caucasians† | T/T | 150 (40.4) | 182 (43.2) | 1.00 | ||||
T/G | 167 (45.0) | 187 (44.4) | 1.07 (0.79-1.45) | |||||
G/G | 54 (14.6) | 52 (12.4) | 1.25 (0.81-1.95) | |||||
T/G + G/G | 221 (59.6) | 239 (56.8) | 1.11 (0.84-1.48) | |||||
MDM2 SNP354 | ||||||||
Overall* | A/A | 375 (86.8) | 474 (87.9) | 1.00 | ||||
A/G | 51 (11.8) | 58 (10.8) | 1.22 (0.80-1.86) | |||||
G/G | 6 (1.4) | 7 (1.3) | 1.69 (0.54-5.30) | |||||
A/G + G/G | 57 (13.2) | 65 (12.1) | 1.26 (0.84-1.89) | |||||
African-Americans† | A/A | 95 (81.2) | 168 (84.0) | 1.00 | ||||
A/G | 18 (15.4) | 26 (13.0) | 0.99 (0.47-2.09) | |||||
G/G | 4 (3.4) | 6 (3.0) | 2.23 (0.54-9.26) | |||||
A/G + G/G | 22 (18.8) | 32 (16.0) | 1.15 (0.58-2.27) | |||||
Caucasians† | A/A | 280 (88.9) | 306 (90.3) | 1.00 | ||||
A/G | 33 (10.5) | 32 (9.4) | 1.31 (0.77-2.23) | |||||
G/G | 2 (0.6) | 1 (0.3) | 2.58 (0.22-30.09) | |||||
A/G + G/G | 35 (11.1) | 33 (9.7) | 1.34 (0.80-2.27) |
Polymorphism . | Genotype . | Cases, n (%) . | Controls, n (%) . | OR (95% CI) . | ||||
---|---|---|---|---|---|---|---|---|
MDM2 SNP309 | ||||||||
Overall* | T/T | 261 (51.8) | 385 (57.0) | 1.00 | ||||
T/G | 187 (37.1) | 234 (34.6) | 0.93 (0.70-1.91) | |||||
G/G | 56 (11.1) | 57 (8.4) | 1.22 (0.78-1.91) | |||||
T/G + G/G | 243 (48.2) | 291 (43.0) | 0.98 (0.75-1.28) | |||||
African-Americans† | T/T | 111 (83.5) | 203 (79.6) | 1.00 | ||||
T/G | 20 (15.0) | 47 (18.4) | 0.70 (0.38-1.32) | |||||
G/G | 2 (1.5) | 5 (2.0) | 0.52 (0.09-3.05) | |||||
T/G + G/G | 22 (16.5) | 52 (20.4) | 0.68 (0.37-1.25) | |||||
Caucasians† | T/T | 150 (40.4) | 182 (43.2) | 1.00 | ||||
T/G | 167 (45.0) | 187 (44.4) | 1.07 (0.79-1.45) | |||||
G/G | 54 (14.6) | 52 (12.4) | 1.25 (0.81-1.95) | |||||
T/G + G/G | 221 (59.6) | 239 (56.8) | 1.11 (0.84-1.48) | |||||
MDM2 SNP354 | ||||||||
Overall* | A/A | 375 (86.8) | 474 (87.9) | 1.00 | ||||
A/G | 51 (11.8) | 58 (10.8) | 1.22 (0.80-1.86) | |||||
G/G | 6 (1.4) | 7 (1.3) | 1.69 (0.54-5.30) | |||||
A/G + G/G | 57 (13.2) | 65 (12.1) | 1.26 (0.84-1.89) | |||||
African-Americans† | A/A | 95 (81.2) | 168 (84.0) | 1.00 | ||||
A/G | 18 (15.4) | 26 (13.0) | 0.99 (0.47-2.09) | |||||
G/G | 4 (3.4) | 6 (3.0) | 2.23 (0.54-9.26) | |||||
A/G + G/G | 22 (18.8) | 32 (16.0) | 1.15 (0.58-2.27) | |||||
Caucasians† | A/A | 280 (88.9) | 306 (90.3) | 1.00 | ||||
A/G | 33 (10.5) | 32 (9.4) | 1.31 (0.77-2.23) | |||||
G/G | 2 (0.6) | 1 (0.3) | 2.58 (0.22-30.09) | |||||
A/G + G/G | 35 (11.1) | 33 (9.7) | 1.34 (0.80-2.27) |
Adjusted for age, race, and pack-years of smoking.
Adjusted for age and pack-years of smoking.
. | Genotype . | Overall* . | . | . | African-Americans† . | . | . | Caucasians† . | . | . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | . | Cases . | Controls . | OR (95% CI) . | Cases . | Controls . | OR (95% CI) . | Cases . | Controls . | OR (95% CI) . | ||||||||||
MDM2 SNP309 | ||||||||||||||||||||
≤10 pack-years | T/T | 31 | 188 | 1.00 | 15 | 114 | 1.00 | 16 | 74 | 1.00 | ||||||||||
T/G | 24 | 84 | 1.53 (0.82-2.86) | 6 | 22 | 1.93 (0.67-5.61) | 18 | 62 | 1.39 (0.65-2.95) | |||||||||||
G/G | 9 | 23 | 1.95 (0.79-4.84) | 0 | 2 | — | 9 | 21 | 1.97 (0.76-5.11) | |||||||||||
T/G + G/G | 33 | 107 | 1.62 (0.90-2.91) | 6 | 24 | 1.77 (0.61-5.10) | 27 | 83 | 1.54 (0.77-3.09) | |||||||||||
11-44 pack-years | T/T | 73 | 80 | 1.00 | 38 | 47 | 1.00 | 35 | 33 | 1.00 | ||||||||||
T/G | 34 | 46 | 0.83 (0.53-1.32) | 3 | 12 | 0.51 (0.20-1.28) | 31 | 34 | 1.05 (0.61-1.80) | |||||||||||
G/G | 7 | 12 | 0.88 (0.41-1.86) | 0 | 1 | — | 7 | 11 | 1.10 (0.48-2.49) | |||||||||||
T/G + G/G | 41 | 58 | 0.84 (0.55-1.30) | 3 | 13 | 0.49 (0.21-1.18) | 38 | 55 | 1.06 (0.63-1.76) | |||||||||||
≥45 pack-years | T/T | 83 | 66 | 1.00 | 32 | 27 | 1.00 | 51 | 39 | 1.00 | ||||||||||
T/G | 56 | 41 | 0.82 (0.53-1.26) | 5 | 6 | 0.60 (0.18-1.94) | 51 | 35 | 0.85 (0.54-1.35) | |||||||||||
G/G | 19 | 9 | 1.19 (0.60-2.34) | 1 | 2 | — | 18 | 7 | 1.16 (0.58-2.32) | |||||||||||
T/G + G/G | 75 | 50 | 0.88 (0.58-1.32) | 6 | 8 | 0.69 (0.22-2.17) | 69 | 42 | 0.91 (0.59-1.41) |
. | Genotype . | Overall* . | . | . | African-Americans† . | . | . | Caucasians† . | . | . | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | . | Cases . | Controls . | OR (95% CI) . | Cases . | Controls . | OR (95% CI) . | Cases . | Controls . | OR (95% CI) . | ||||||||||
MDM2 SNP309 | ||||||||||||||||||||
≤10 pack-years | T/T | 31 | 188 | 1.00 | 15 | 114 | 1.00 | 16 | 74 | 1.00 | ||||||||||
T/G | 24 | 84 | 1.53 (0.82-2.86) | 6 | 22 | 1.93 (0.67-5.61) | 18 | 62 | 1.39 (0.65-2.95) | |||||||||||
G/G | 9 | 23 | 1.95 (0.79-4.84) | 0 | 2 | — | 9 | 21 | 1.97 (0.76-5.11) | |||||||||||
T/G + G/G | 33 | 107 | 1.62 (0.90-2.91) | 6 | 24 | 1.77 (0.61-5.10) | 27 | 83 | 1.54 (0.77-3.09) | |||||||||||
11-44 pack-years | T/T | 73 | 80 | 1.00 | 38 | 47 | 1.00 | 35 | 33 | 1.00 | ||||||||||
T/G | 34 | 46 | 0.83 (0.53-1.32) | 3 | 12 | 0.51 (0.20-1.28) | 31 | 34 | 1.05 (0.61-1.80) | |||||||||||
G/G | 7 | 12 | 0.88 (0.41-1.86) | 0 | 1 | — | 7 | 11 | 1.10 (0.48-2.49) | |||||||||||
T/G + G/G | 41 | 58 | 0.84 (0.55-1.30) | 3 | 13 | 0.49 (0.21-1.18) | 38 | 55 | 1.06 (0.63-1.76) | |||||||||||
≥45 pack-years | T/T | 83 | 66 | 1.00 | 32 | 27 | 1.00 | 51 | 39 | 1.00 | ||||||||||
T/G | 56 | 41 | 0.82 (0.53-1.26) | 5 | 6 | 0.60 (0.18-1.94) | 51 | 35 | 0.85 (0.54-1.35) | |||||||||||
G/G | 19 | 9 | 1.19 (0.60-2.34) | 1 | 2 | — | 18 | 7 | 1.16 (0.58-2.32) | |||||||||||
T/G + G/G | 75 | 50 | 0.88 (0.58-1.32) | 6 | 8 | 0.69 (0.22-2.17) | 69 | 42 | 0.91 (0.59-1.41) |
Adjusted for race and age.
Adjusted for age.
Discussion
The MDM2 SNP309 and SNP354 polymorphisms were not associated with lung carcinogenesis in African-Americans or Caucasians in our study. Reports have shown an association between the variant allele of MDM2 SNP309 and the risk of other tumor types or accelerated tumor formation (3, 5). Our study results indicate that the mechanistic effects of the MDM2 SNP309 polymorphism may not be generalized to all tissue types.
We had an 80% power (α = 0.05, two-sided test) to detect a minimum OR of 1.7 and 1.2 in African-Americans and Caucasians, respectively, for the MDM2 SNP309 G allele. Thus, our study had sufficient power to detect an OR of 1.83 (95% CI, 1.45-2.32) and 1.62 (95% CI, 1.06-2.50) reported in other studies (8, 9). Similarly, we had an 80% power (α = 0.05, two-sided test) to detect a minimum OR of 1.6, 2.3, and 1.9 for the MDM2 SNP354 G allele, overall, in African-Americans, and Caucasians, respectively.
The results of this study were similar to one report that did not observe an association between MDM2 SPN309 and lung cancer (7). However, two independent reports showed an association (8, 9). Differences in ethnicity between our population and that reported by Zhang et al. could provide a partial explanation. In the study by Lind et al., the controls were current or former smokers, whereas our study controls included nonsmokers. The cases reported by Lind et al. were all surgical; therefore, stage I may have been more represented in their population than in ours. Lastly, there was a strong association with women in the study reported by Lind et al. In our population, there was no interaction between the MDM2 SNP309 and smoking or gender. We also did not see an association between MDM2 SNP309 and lung cancer when only the surgical cases were examined. The overall results reported to date, including ours, suggest that MDM2 SNP309 may not be a strong indicator of lung cancer risk.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Note: Supplementary data for this article are available at Cancer Epidemiology, Biomarkers & Prevention Online (http://cebp.aacrjournals.org/).
S.R. Pine and L.E. Mechanic contributed equally to this work.
Acknowledgments
We thank Stefan Ambs for his thoughtful discussions and critical comments; Dorothea Dudek-Creaven for editorial assistance; Karen MacPherson for bibliographic assistance; Donna Perlmutter, Anthony Alberg, Christopher Loffredo, Raymond Jones, Leoni Leondaridis, Glennwood Trivers, and the Surgery and Pathology Departments from participating hospitals for their contributions; and Audrey Salabes, John Cottrell, and Drs. Rex Yung and Mark Krasna for their contributions to patient accrual and tissue collection.