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Cancer Prevention Research
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Research Article

Specificity of the Multi-Target Stool DNA Test for Colorectal Cancer Screening in Average-Risk 45–49 Year-Olds: A Cross-Sectional Study

Thomas F. Imperiale, John B. Kisiel, Steven H. Itzkowitz, Bradley Scheu, Emma Kate Duimstra, Sandra Statz, Barry M. Berger and Paul J. Limburg
Thomas F. Imperiale
1Indiana University School of Medicine, Indianapolis, Indiana.
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  • For correspondence: timperia@iu.edu
John B. Kisiel
2Mayo Clinic, Rochester, Minnesota.
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  • ORCID record for John B. Kisiel
Steven H. Itzkowitz
3Icahn School of Medicine at Mount Sinai, New York, New York.
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Bradley Scheu
4Deaconess Clinic, Newburgh, Indiana.
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Emma Kate Duimstra
5EmpiriQA LLC, Long Grove, Illinois.
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Sandra Statz
6Exact Sciences Corporation, Madison, Wisconsin.
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Barry M. Berger
6Exact Sciences Corporation, Madison, Wisconsin.
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Paul J. Limburg
2Mayo Clinic, Rochester, Minnesota.
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DOI: 10.1158/1940-6207.CAPR-20-0294 Published April 2021
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    Figure 1.

    Flowchart for evaluable cohort.

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    Figure 2.

    ROC curves for mt-sDNA test specificity. A, ROC for the evaluable cohort discriminating between advanced precancerous lesions and lesser findings (nonadvanced adenoma and negative colonoscopy). B, ROC for the evaluable cohort discriminating between advanced precancerous lesions and negative colonoscopy. AUC, area under the receiver operating characteristic; ROC, receiver operating characteristic.

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  • Table 1.

    Patient demographics for analysis cohorts.

    Demographic featuresAll enrolled participants, N = 983Intent-to-screen cohorta, N = 842Evaluable cohortb,N = 816
    Age (years)
     Mean (SD)47.8 (1.5)47.9 (1.5)47.8 (1.5)
    Sex, n (%)
     Male518 (52.7%)440 (52.3%)427 (52.3%)
     Female465 (47.3%)402 (47.7%)389 (47.7%)
    Race, n (%)
     White803 (81.7%)706 (83.8%)685 (83.9%)
     Black or African American127 (12.9%)95 (11.3%)90 (11.0%)
     Asian41 (4.2%)31 (3.7%)31 (3.8%)
     American Indian or Alaska Native1 (0.1%)1 (0.1%)1 (0.1%)
     Native Hawaiian or Other Pacific Islander1 (0.1%)1 (0.1%)1 (0.1%)
     Other10 (1.0%)8 (1.0%)8 (1.0%)
    Ethnicity, n (%)
     Hispanic or Latino67 (6.8%)48 (5.7%)47 (5.8%)
     Not Hispanic or Latino916 (93.2%)794 (4.3%)769 (94.2%)
    • ↵aThe intent-to-screen cohort included participants with a valid or usable mt-sDNA and a reportable or complete colonoscopy.

    • ↵bThe evaluable cohort included only participants with a usable mt-sDNA and complete colonoscopy. Participants with stool samples received outside of the 72-hour mt-sDNA processing window, incomplete/not reportable colonoscopies, and other major protocol violations (inclusion/exclusion criteria not met) were excluded.

  • Table 2.

    Test performance in the evaluable cohort.

    mt-sDNA (N = 816)
    Most advanced findingColonoscopy (N = 816) no.Positive Results, no.Specificity, % (95% CI)
    All nonadvanced adenomas, non-neoplastic findings, and negative results on colonoscopy7673795.2 (93.4–96.6)
    Negative results on colonoscopy5141996.3 (94.3–97.8)
    Prevalence, % (N = 816)Sensitivity, % (95% CI)
    Colorectal cancer0NANANA
    Advanced precancerous lesionsa496.01632.7 (19.9–47.5)
     High-grade dysplasia0<0.1NANA
     Adenoma, villous growth pattern101.2660.0 (26.2–87.8)
     Adenoma ≥10 mm323.9728.1 (13.7–46.7)
     Serrated lesion ≥10 mm70.9114.3 (0.4–57.9)
    Nonadvanced adenoma25331.0187.1 (4.3–11.0)
    • Abbreviations: NA, not applicable; no., number.

    • ↵aOn the basis of most advanced lesion; therefore, prevalence estimates for less advanced lesions are biased downward.

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Cancer Prevention Research: 14 (4)
April 2021
Volume 14, Issue 4
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Specificity of the Multi-Target Stool DNA Test for Colorectal Cancer Screening in Average-Risk 45–49 Year-Olds: A Cross-Sectional Study
Thomas F. Imperiale, John B. Kisiel, Steven H. Itzkowitz, Bradley Scheu, Emma Kate Duimstra, Sandra Statz, Barry M. Berger and Paul J. Limburg
Cancer Prev Res April 1 2021 (14) (4) 489-496; DOI: 10.1158/1940-6207.CAPR-20-0294

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Specificity of the Multi-Target Stool DNA Test for Colorectal Cancer Screening in Average-Risk 45–49 Year-Olds: A Cross-Sectional Study
Thomas F. Imperiale, John B. Kisiel, Steven H. Itzkowitz, Bradley Scheu, Emma Kate Duimstra, Sandra Statz, Barry M. Berger and Paul J. Limburg
Cancer Prev Res April 1 2021 (14) (4) 489-496; DOI: 10.1158/1940-6207.CAPR-20-0294
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