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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Association of Genetic Polymorphisms, mRNA Expression of p53 and p21 with Chronic Benzene Poisoning in a Chinese Occupational Population

Pin Sun, Yulan Qiu, Zhongbin Zhang, Junxiang Wan, Tong Wang, Xipeng Jin, Qing Lan, Nathaniel Rothman and Zhao-lin Xia
Pin Sun
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Yulan Qiu
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Zhongbin Zhang
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Junxiang Wan
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Tong Wang
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Xipeng Jin
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Qing Lan
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Nathaniel Rothman
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Zhao-lin Xia
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DOI: 10.1158/1055-9965.EPI-09-0140 Published June 2009
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Tables

  • Table 1.

    Characteristics of selected demographic and exposure variables in CBP cases and controls

    CBP cases
    Healthy controls
    P*
    No. (%)No. (%)
    Total307 (100.0)299 (100.0)
    Age (y)0.500
        ≤2585 (27.7)86 (28.8)
        26-35117 (38.1)97 (32.4)
        36-4581 (26.4)88 (29.4)
        >4524 (7.8)28 (9.4)
    Gender0.870
        Male195 (63.5)188 (62.9)
        Female112 (36.5)111 (37.1)
    Exposure duration (y)0.252
        ≤5150 (48.9)160 (53.5)
        6-1062 (20.2)66 (22.1)
        11-1537 (12.1)35 (11.7)
        16-2025 (8.1)20 (6.7)
        >2033 (10.7)18 (6.0)
    Intensity of exposure (mg/m3)0.687
        ≤40187 (60.9)190 (63.5)
        40-10091 (29.6)86 (28.8)
        >10029 (9.5)23 (7.7)
    Smoking0.046
        Yes154 (50.2)137 (45.8)
        No30 (9.8)45 (15.1)
        No data123 (40.0)117 (39.1)
    Alcohol consumption0.404
        Yes148 (48.2)151 (50.5)
        No38 (12.4)31 (10.4)
        No data121 (39.4)117 (39.1)
    • ↵* χ2 test for difference in the distributions between the two groups.

  • Table 2.

    Genotypes for genetic polymorphisms in p53 and p21 and their effects on risk of CBP

    GenotypeCases (%)*Controls (%)*OR (95% CI)ORadj. (95% CI)†
    P53 intron 3‡
        WW280 (94.6)258 (92.8)1.001.00
        WM16 (5.4)20 (7.2)0.74 (0.37-1.45)% (0.22-1.58)
        MM0 (0.00)0 (0.0)––
        WM+MM16 (5.4)20 (7.2)0.74 (0.37-1.47)% (0.22-1.58)
    P53 C119G
        CC56 (18.7)51 (17.8)1.001.00
        CG144 (48.0)142 (49.5)0.92 (0.59-1.44)1.04 (0.58-1.87)
        GG100 (33.3)94 (32.8)0.97 (0.60-1.55)0.87 (0.46-1.63)
        CG+GG244 (81.3)236 (82.2)0.94 (0.62-1.43)0.97 (0.55-1.69)
    P53 IVS6+62 G>A
        GG272 (89.8)265 (90.1)1.001.00
        GA31 (10.2)29 (9.9)1.04 (0.61-1.78)1.28 (0.63-2.57)
        AA0 (0.00)0 (0.0)––
        GA+AA31 (10.2)29 (9.9)1.04 (0.61-1.78)1.28 (0.63-2.57)
    P21 C98A
        CC100 (33.0)65 (22.5)1.001.00
        CA158 (52.2)173 (59.9)0.59 (0.41-0.87)§0.48 (0.29-0.79)§
        AA45 (14.9)51 (17.6)0.57 (0.35-0.95)∥0.67 (0.33-1.35)
        CA+AA203 (67.0)224 (77.5)0.59 (0.41-0.85)§0.51 (0.32-0.83)§
    P21 C70T
        CC66 (21.9)45 (15.4)1.001.00
        CT104 (34.6)107 (36.6)0.66 (0.42-1.06)0.56 (0.29-1.06)
        TT131 (43.5)140 (48.0)0.64 (0.41-1.00)∥0.51 (0.28-0.94)∥
        CT+TT235 (78.1)247 (84.6)0.65 (0.43-0.99)∥0.53 (0.29-0.95)∥
    • ↵* Data missing due to failure in DNA amplification.

    • ↵† ORs were adjusted for potential confounders including gender, cigarette smoking, alcohol consumption, exposure duration, and intensity of benzene exposure.

    • ↵‡ WW, wild-type homozygous; WM, wild-type/mutant heterozygous; MM, mutant homozygous.

    • ↵§ P < 0.01.

    • ↵∥ P < 0.05.

  • Table 3.

    Haplotypes/diplotypes of p53 and the odds of chronic benzene poisoning

    Haplotype/Diplotypes*Cases (%)†Controls (%)†OR (95% CI)χ2P
    Haplotype
        WCC233 (38.1)222 (37.6)1.00
        WGC345 (56.4)335 (56.8)0.98 (0.77-1.24)0.020.876
        MCA13 (2.1)16 (2.7)0.77 (0.36-1.65)0.440.505
        WCA14 (2.3)12 (2.0)1.11 (0.50-2.46)0.070.794
    Diplotypes
        WCC/WCC45 (15.1)44 (15.2)1.00
        WCC/WGC132 (44.3)126 (43.5)1.02 (0.63-1.66)0.010.922
        WGC/WGC95 (31.9)92 (31.7)1.01 (0.61-1.67)0.000.970
        Other diplotypes‡26 (8.7)28 (9.6)0.91 (0.46-1.79)0.080.780
    • ↵* The allele order is intron3, C119G, and IVS6+62 C>A from left to right.

    • ↵† Data missing due to failure in DNA amplification.

    • ↵‡ All subgroups with frequencies <5% were combined as one group.

  • Table 4.

    Haplotypes/diplotypes of p21 and the odds of chronic benzene poisoning

    Haplotype/Diplotypes*Cases (%)†Controls (%)†OR (95% CI)χ2P
    Haplotype
        CC224 (37.2)184 (31.5)
        AT235 (39.0)267 (45.7)
        AC131 (21.8)120 (20.6)
        CT12 (2.0)13 (2.2)
    Diplotypes
        CC/CC60 (19.9)37 (12.7)1.00
        CC/AT75 (24.9)91 (31.2)0.51 (0.30-0.85)6.810.009
        CC/CT26 (8.6)15 (5.1)1.07 (0.50-2.28)0.300.863
        AT/AT39 (13.0)48 (16.4)0.50 (0.28-0.90)5.350.021
        AT/CT79 (26.3)79 (27.1)0.62 (0.37-1.03)3.410.065
        Other diplotypes‡22 (7.3)22 (7.5)0.62 (0.30-1.27)1.750.186
    • ↵* The allele order is C98A and C70T from left to right.

    • ↵† Some data were missing due to inability to amplify DNA.

    • ↵‡ All subgroups with frequencies <5% were combined as one group.

  • Table 5.

    Demographic characteristics of the study subjects

    VariablesNonexposedBenzene-exposedCBP
    Number373839
    Age (y)45.4 ± 5.9*33.0 ± 7.333.4 ± 7.8
    Male (%)15 (34.9)22 (57.9)22 (56.4)
    Current smoker (%)14 (32.6)14 (36.8)12 (30.8)
    Current alcohol user (%)12 (27.9)14 (36.8)19 (48.7)
    • ↵* P < 0.05.

  • Table 6.

    p53 and p21 mRNA expression (2-ΔCt × 103) in the study subjects

    GeneNonexposed (n= 37)Benzene-exposed (n = 38)CBP (n = 39)
    p5316.40 (9.62, 26.83)2.16 (0.92, 4.03)*1.61 (0.33, 4.07)*
    p214.02 (2.39, 5.05)4.05 (1.79, 7.49)3.90 (1.32, 8.52)
    • ↵* P < 0.001 (robust multiple regression analysis).

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Cancer Epidemiology Biomarkers & Prevention: 18 (6)
June 2009
Volume 18, Issue 6
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Association of Genetic Polymorphisms, mRNA Expression of p53 and p21 with Chronic Benzene Poisoning in a Chinese Occupational Population
Pin Sun, Yulan Qiu, Zhongbin Zhang, Junxiang Wan, Tong Wang, Xipeng Jin, Qing Lan, Nathaniel Rothman and Zhao-lin Xia
Cancer Epidemiol Biomarkers Prev June 1 2009 (18) (6) 1821-1828; DOI: 10.1158/1055-9965.EPI-09-0140

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Association of Genetic Polymorphisms, mRNA Expression of p53 and p21 with Chronic Benzene Poisoning in a Chinese Occupational Population
Pin Sun, Yulan Qiu, Zhongbin Zhang, Junxiang Wan, Tong Wang, Xipeng Jin, Qing Lan, Nathaniel Rothman and Zhao-lin Xia
Cancer Epidemiol Biomarkers Prev June 1 2009 (18) (6) 1821-1828; DOI: 10.1158/1055-9965.EPI-09-0140
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