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The Cytokinesis-Blocked Micronucleus Assay as a Strong Predictor of Lung Cancer: Extension of a Lung Cancer Risk Prediction Model

Randa A. El-Zein, Mirtha S. Lopez, Anthony M. D'Amelio Jr, Mei Liu, Reginald F. Munden, David Christiani, Li Su, Paula Tejera-Alveraz, Rihong Zhai, Margaret R. Spitz and Carol J. Etzel
Randa A. El-Zein
1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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  • For correspondence: relzein@mdanderson.org
Mirtha S. Lopez
1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Anthony M. D'Amelio Jr
1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Mei Liu
1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
2CORRONA, Inc., Southborough, Massachusetts.
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Reginald F. Munden
3Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
4Houston Methodist, Houston, Texas.
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David Christiani
5Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts.
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Li Su
5Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts.
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Paula Tejera-Alveraz
5Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts.
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Rihong Zhai
5Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts.
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Margaret R. Spitz
6Dan L. Duncan Cancer Center, Houston, Texas.
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Carol J. Etzel
1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
2CORRONA, Inc., Southborough, Massachusetts.
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DOI: 10.1158/1055-9965.EPI-14-0462 Published November 2014
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    Figure 1.

    Baseline and CBMN-extended model ROC curves, overall and by smoking status based on model testing (MGH) population. AUC (Asymt 95% CI): A, overall: Spitz model 60.6% (55.5–65.7), extended Spitz 91.8% (89.4–94.2); B, never smokers: Spitz model 55.1% (44.1–66.1), extended Spitz 91.8% (86.3–97.3); C, former smokers: Spitz model 58.0% (50.5–65.4), extended Spitz 91.0% (87.3–94.8); D, current smokers: Spitz model 66.7% (58.2–75.1), extended Spitz 92.5% (88.5–96.4); P < 0.0001.

Tables

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  • Table 1.

    Distribution of matching variables and variables from the Spitz risk model among cases and controls in the MDACC and MGH populations

    MDACC overall (N = 995)MGH overall (N = 511)
    Case (N = 527)Controls (N = 468)PCase (N = 239)Controls (N = 272)P
    Matching variables
     Sex, n (%) male260 (49.3)243 (51.9)0.951107 (44.8)114 (41.9)0.515
     Age, mean ± SD62 ± 10.859 ± 12.1<0.00165 ± 10.764 ± 11.00.222
    Smoking status, n (%)
     Never111 (21.1)104 (22.2)37 (15.5)60 (22.1)
     Former221 (41.9)185 (39.5)118 (49.4)122 (44.8)
     Current195 (37.0)179 (38.3)0.73884 (35.1)90 (33.1)0.166
    Spitz model variables
     Second-hand smoke, n (%)N = 111N = 104N = 37N = 60
      among NS86 (77.5)84 (80.8)0.55327 (73.0)47 (78.3)0.626
     Quitting age, n (%)
      among FSN = 221N = 185N = 117N = 122
      <4275 (40.5)65 (29.4)45 (38.5)63 (51.6)
      42–5351 (27.6)68 (30.8)30 (25.6)32 (26.2)
      ≥5459 (31.9)88 (39.8)<0.00142 (35.9)27 (22.1)0.045
     Emphysema, n (%)N = 416N = 364N = 167N = 2120.004
      among FS and CS91 (21.9)25 (6.8)<0.00131 (18.6)18 (8.5)
     Dust exposure, n (%)N = 416N = 364N = 202N = 2120.809
      among FS and CS81 (19.5)44 (12.1)0.00526 (12.9)29 (13.7)
     No hay fever, n (%)N = 416N = 364N = 212
      among FS and CS374 (89.9)312 (85.7)0.073NA32 (15.1)
     Asbestos exposure, n (%)N = 195N = 179N = 84N = 90
      among FS and CS59 (30.3)25 (14.0)<0.00114 (16.7)18 (20.0)0.571
     Family history of cancer, n (%)N = 332N = 289N = 150N = 1820.240
      among NS and FS101 (30.4)64 (22.2)0.02051 (34.0)51 (28.0)
     Family history of smoking-related cancers, n (%)N = 195N = 179N = 80N = 90
      among CS75 (38.5)57 (31.8)0.18123 (28.7)23 (25.6)0.640
     Pack-years, n (%)
      among CSN = 195N = 179N = 69N = 90
      <2836 (18.5)76 (42.5)18 (26.1)49 (54.4)
      28–41.945 (23.1)38 (21.2)17 (24.6)16 (17.8)
      42–57.456 (28.7)35 (19.6)16 (23.2)16 (17.8)
      ≥57.558 (29.7)30 (16.8)<0.00118 (26.1)9 (10.0)0.002

    Abbreviations: P, P value from the χ2 test of association (for categorical variables) and Student test (for continuous variables); NS, never smokers; FS, former smokers; CS, current smokers.

    • Table 2.

      Distribution of CBMN endpoints among MDACC and MGH populations

      MDACCMGH
      Case (N = 527)Controls (N = 468)Case (N = 239)Controls (N = 272)
      BN-MNMean ± SDMean ± SDMean ± SDMean ± SD
      Overall3.54 ± 0.991.76 ± 0.833.60 ± 1.011.81 ± 0.87
      Age
       ≤623.55 ± 0.971.78 ± 0.853.72 ± 1.051.78 ± 0.91
       >623.54 ± 1.011.73 ± 0.803.52 ± 0.971.82 ± 0.84
      Gender
       Male3.52 ± 1.001.71 ± 0.823.64 ± 1.031.73 ± 0.87
       Female3.57 ± 0.981.81 ± 0.833.56 ± 0.991.86 ± 0.87
      Smoking
       Never3.56 ± 1.021.69 ± 0.813.62 ± 1.211.70 ± 0.81
       Former3.54 ± 0.981.73 ± 0.793.61 ± 0.931.86 ± 0.86
       Current3.54 ± 0.991.82 ± 0.873.57 ± 1.021.80 ± 0.93
      BN-NPB
      Overall4.25 ± 0.760.99 ± 0.623.89 ± 1.021.02 ± 0.66
      Age
       ≤624.28 ± 0.730.98 ± 0.573.77 ± 1.151.01 ± 0.63
       >624.23 ± 0.781.00 ± 0.663.91 ± 0.911.04 ± 0.64
      Gender
       Males4.28 ± 0.740.99 ± 0.623.97 ± 0.881.02 ± 0.64
       Females4.22 ± 0.770.99 ± 0.623.83 ± 1.111.03 ± 0.63
      Smoking
       Never4.18 ± 0.750.94 ± 0.593.86 ± 0.951.03 ± 0.8
       Former4.25 ± 0.750.97 ± 0.603.94 ± 0.961.02 ± 0.62
       Current4.29 ± 0.771.04 ± 0.663.83 ± 1.121.00 ± 0.61

      NOTE: Resulting P values from comparing endpoints between cases and controls (BN-MN or BN-NPB) overall or stratified by age, gender, or smoking status. Mean differences between MDACC cases and controls were significant at the 0.0001 level within all strata. Mean differences between MGH cases and control were significant at the 0.0001 level within all strata. Mean BN-MN differences between MDACC cases and MGH cases were not significant (P > 0.05) within all strata. Mean BN-NPB differences between MDACC cases and MGH cases were significant (P < 0.05) within all strata.

      • Table 3.

        Extension of Spitz lung cancer risk models using CBMN assay endpoints among never, former, and current smokers in the model building (MDACC) population

        BN-MN modela
        VariablesOR (95% CI)
        Never smokers
         CBMN16.72 (9.01–31.02)
         Second-hand smoke1.12 (0.47–2.68)
         Family history (≥2)b1.06 (0.47–2.43)
        Former smokers
         CBMN15.78 (10.16–24.51)
         Emphysema2.14 (0.94–4.90)
         Dusts1.30 (0.64–2.64)
         Family history (≥2)b1.25 (0.73–2.13)
         Quit age: 42–531.23 (0.66–2.27)
         Quit age: ≥541.35 (0.73–2.47)
        Current smokers
         CBMN11.44 (7.40–17.68)
         Emphysema4.92 (2.16–11.23)
         Pack year: 28–41.93.66 (1.72–7.76)
         Pack year: 42–57.43.24 (1.52–6.90)
         Pack year: ≥57.55.77 (2.57–12.96)
         Dusts1.47 (0.69–3.11)
         Asbestos1.67 (0.84–3.32)
         Family history (≥1)c1.51 (0.84–2.69)
        • ↵aBN-MN is modeled as continuous variables.

        • ↵bIndividuals with 2 or more first-degree family members with cancer.

        • ↵cIndividuals with 1 or more first-degree family members with a smoking-related cancer.

      • Table 4.

        Positive predictive and negative predictive value for the original Spitz model versus CMBN extension of the model, overall and stratified by smoking status using the model testing (MGH) population

        ModelPPV (%)NPV (%)
        OverallSpitz model55.258.5
        Extended Spitz with BN-MN91.181.3
        Never smokersSpitz model50.058.3
        Extended Spitz with BN-MN91.785.0
        Former smokersSpitz model64.445.1
        Extended Spitz with BN-MN94.178.7
        Current smokersSpitz model43.976.7
        Extended Spitz with BN-MN86.482.2
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      Cancer Epidemiology Biomarkers & Prevention: 23 (11)
      November 2014
      Volume 23, Issue 11
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      The Cytokinesis-Blocked Micronucleus Assay as a Strong Predictor of Lung Cancer: Extension of a Lung Cancer Risk Prediction Model
      Randa A. El-Zein, Mirtha S. Lopez, Anthony M. D'Amelio Jr, Mei Liu, Reginald F. Munden, David Christiani, Li Su, Paula Tejera-Alveraz, Rihong Zhai, Margaret R. Spitz and Carol J. Etzel
      Cancer Epidemiol Biomarkers Prev November 1 2014 (23) (11) 2462-2470; DOI: 10.1158/1055-9965.EPI-14-0462

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      The Cytokinesis-Blocked Micronucleus Assay as a Strong Predictor of Lung Cancer: Extension of a Lung Cancer Risk Prediction Model
      Randa A. El-Zein, Mirtha S. Lopez, Anthony M. D'Amelio Jr, Mei Liu, Reginald F. Munden, David Christiani, Li Su, Paula Tejera-Alveraz, Rihong Zhai, Margaret R. Spitz and Carol J. Etzel
      Cancer Epidemiol Biomarkers Prev November 1 2014 (23) (11) 2462-2470; DOI: 10.1158/1055-9965.EPI-14-0462
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