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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study)

Bette J. Caan, Jeffrey A. Meyerhardt, Candyce H. Kroenke, Stacey Alexeeff, Jingjie Xiao, Erin Weltzien, Elizabeth Cespedes Feliciano, Adrienne L. Castillo, Charles P. Quesenberry, Marilyn L. Kwan and Carla M. Prado
Bette J. Caan
1Division of Research, Kaiser Permanente, Oakland, California.
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  • For correspondence: Bette.caan@kp.org
Jeffrey A. Meyerhardt
2Dana Farber Cancer Institute, Boston, Massachusetts.
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Candyce H. Kroenke
1Division of Research, Kaiser Permanente, Oakland, California.
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Stacey Alexeeff
1Division of Research, Kaiser Permanente, Oakland, California.
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Jingjie Xiao
3Department of Agricultural, Food and Nutritional Sciences, Agriculture/Forestry Centre University of Alberta, Edmonton, Alberta, Canada.
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Erin Weltzien
1Division of Research, Kaiser Permanente, Oakland, California.
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Elizabeth Cespedes Feliciano
1Division of Research, Kaiser Permanente, Oakland, California.
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Adrienne L. Castillo
1Division of Research, Kaiser Permanente, Oakland, California.
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Charles P. Quesenberry
1Division of Research, Kaiser Permanente, Oakland, California.
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Marilyn L. Kwan
1Division of Research, Kaiser Permanente, Oakland, California.
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Carla M. Prado
3Department of Agricultural, Food and Nutritional Sciences, Agriculture/Forestry Centre University of Alberta, Edmonton, Alberta, Canada.
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DOI: 10.1158/1055-9965.EPI-17-0200 Published July 2017
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  • Figure 1.
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    Figure 1.

    A, Kaplan–Meier curves for sarcopenia and all-cause mortality. B, Kaplan–Meier curves for body composition phenotypes and all-cause mortality.

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    Figure 2.

    Restricted cubic splines for body composition and overall mortality, by sex. Reference is sex-specific median; graphs have 4 knots and are truncated at 1st and 99th percentiles; adjusted for age, stage, site, treatment, and partitioned BMI. SMI graphs additionally adjusted for total adiposity in tertiles; total adiposity graphs adjusted for muscle in tertiles.

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    Figure 3.

    A, Restricted cubic spline for BMI has 4 knots and is adjusted for age, sex, race, stage, grade, site, treatment, prediagnosis BMI, smoking, and physical activity. Reference value is the overall median (27.2); test for curvature P < 0.0001; overall significance P < 0.0001. B, Histogram for body composition phenotypes by BMI.

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  • Table 1.

    Characteristics of the cohort, by sarcopenia status

    TotalSarcopenicaNot sarcopenic
    N = 3,262N = 1,383N = 1,879
    nRow%nRow%nRow%P
    Age at diagnosis, y
     Mean (SD)62.6 (11.4)66.4 (10.4)59.8 (11.3)<0.0001
    Age at diagnosis, y
     <601238100.033226.890673.2<0.0001
     60–<70941100.042044.652155.4
     ≥701083100.063158.345241.7
    Sex
     Male1634100.074045.389454.70.001
     Female1628100.064339.598560.5
    Race/Ethnicity
     White2118100.096045.3115854.7<0.0001
     Black234100.06628.216871.8
     Hispanic365100.011230.725369.3
     Asian/PI520100.023946.028154.0
     Other21100.0523.81676.2
    AJCC Stage
     I979100.037738.560261.50.003
     II or III2283100.0100644.1127755.9
    Site of cancer
     Rectal947100.035337.359462.7<0.0001
     Colon2315100.0103044.5128555.5
    Weight change in 18 mo prediagnosis
     Stable1150100.048442.166657.90.22
     ≥5% loss548100.025546.529353.5
     ≥5% gain137100.06043.87756.2
    Smoking status
     Never1516100.060239.791460.30.01
     Former1347100.060845.173954.9
     Current396100.017343.722356.3
    Charlson comorbidity score
     01770100.074442.0102658.00.48
     1–2946100.041644.053056.0
     ≥3321100.014444.917755.1
    Neutrophil/Lymphocyte ratio
     <52250100.088039.1137060.9<0.0001
     ≥5919100.046650.745349.3
    • ↵aThe SMI cut points for sarcopenia for men and women were normal/overweight and obese. The normal and overweight points for men and women were <52.3 and <38.6, respectively, and the obese points were <54.3 and <46.6, respectively.

  • Table 2.

    Body composition and mortality

    Overall mortalityCRCsM
    At riskNo. of eventsHR (95% CI)No. of eventsHR (95% CI)
    Sarcopenic
     No1,879362Referent200Referent
     Yes1,3834261.27 (1.09–1.48)2331.46 (1.19–1.79)
    Muscle, cm2
     Low tertile 11,0863281.32 (1.07–1.64)1761.54 (1.16–2.05)
     Middle tertile 21,0882491.13 (0.93–1.37)1351.19 (0.92–1.55)
     High tertile 31,088211Referent122Referent
     Ptrend0.010.003
    Body composition phenotypes
     Normal1,251239Referent134Referent
     Low muscle9252721.33 (1.10–1.61)1441.46 (1.13–1.88)
     High adiposity9252211.21 (1.01–1.46)1231.28 (1.00–1.64)
     Low muscle and high adiposity161561.40 (1.03–1.90)321.79 (1.20–2.67)
    Body composition phenotypes, among men
     Normal637130Referent78Referent
     Low muscle4531371.34 (1.02–1.74)681.30 (0.91–1.87)
     High adiposity4521101.13 (0.87–1.46)571.08 (0.76–1.52)
     Low muscle and high adiposity92301.25 (0.82–1.90)161.33 (0.76–2.34)
    Body composition phenotypes, among women
     Normal614109Referent56Referent
     Low muscle4721351.38 (1.06–1.81)761.69 (1.17–2.45)
     High adiposity4731111.30 (0.99–1.71)661.56 (1.09–2.25)
     Low muscle and high adiposity69261.64 (1.05–2.57)162.62 (1.48–4.65)
    • NOTE: Models adjusted for age at diagnosis (continuous), sex (ref = Men), race (ref = white), stage (ref = I), chemotherapy (ref = no), radiation (ref = no), site of cancer (ref = rectal), and partitioned BMI. Sarcopenia and muscle models adjusted for total adiposity in tertiles (ref = low).

Additional Files

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    • Supplemental Tables 1-3 - Supplemental Tables 1-3
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Cancer Epidemiology Biomarkers & Prevention: 26 (7)
July 2017
Volume 26, Issue 7
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Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study)
Bette J. Caan, Jeffrey A. Meyerhardt, Candyce H. Kroenke, Stacey Alexeeff, Jingjie Xiao, Erin Weltzien, Elizabeth Cespedes Feliciano, Adrienne L. Castillo, Charles P. Quesenberry, Marilyn L. Kwan and Carla M. Prado
Cancer Epidemiol Biomarkers Prev July 1 2017 (26) (7) 1008-1015; DOI: 10.1158/1055-9965.EPI-17-0200

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Explaining the Obesity Paradox: The Association between Body Composition and Colorectal Cancer Survival (C-SCANS Study)
Bette J. Caan, Jeffrey A. Meyerhardt, Candyce H. Kroenke, Stacey Alexeeff, Jingjie Xiao, Erin Weltzien, Elizabeth Cespedes Feliciano, Adrienne L. Castillo, Charles P. Quesenberry, Marilyn L. Kwan and Carla M. Prado
Cancer Epidemiol Biomarkers Prev July 1 2017 (26) (7) 1008-1015; DOI: 10.1158/1055-9965.EPI-17-0200
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