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Research Articles

Hematologic Markers and Prostate Cancer Risk: A Prospective Analysis in UK Biobank

Eleanor L. Watts, Aurora Perez-Cornago, Jaimal Kothari, Naomi E. Allen, Ruth C. Travis and Timothy J. Key
Eleanor L. Watts
1Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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  • ORCID record for Eleanor L. Watts
  • For correspondence: ellie.watts@ndph.ox.ac.uk
Aurora Perez-Cornago
1Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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Jaimal Kothari
2Clinical Haematology, Oxford Cancer and Haematology Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
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Naomi E. Allen
3Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
4UK Biobank Ltd, Cheadle, Stockport, United Kingdom.
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Ruth C. Travis
1Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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Timothy J. Key
1Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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DOI: 10.1158/1055-9965.EPI-19-1525 Published August 2020
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  • Figure 1.
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    Figure 1.

    HR (95% CIs) of prostate cancer diagnosis by fifths of red blood cell indices. HRs are stratified by region and age at recruitment and adjusted for age (underlying time variable), Townsend deprivation score, racial/ethnic group, height, lives with a wife or partner, BMI, cigarette smoking, alcohol consumption, and diabetes. HRs per 1 SD increase are adjusted for regression dilution bias.

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    Figure 2.

    HR (95% CIs) of prostate cancer diagnosis by fifths of platelet indices. HRs are stratified by region and age at recruitment and adjusted for age (underlying time variable), Townsend deprivation score, racial/ethnic group, height, lives with a wife or partner, BMI, cigarette smoking, alcohol consumption, and diabetes. HRs per 1 SD increase are adjusted for regression dilution bias.

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    Figure 3.

    HR (95% CIs) of prostate cancer diagnosis by fifths of white blood cell indices. HRs are stratified by region and age at recruitment and adjusted for age (underlying time variable), Townsend deprivation score, racial/ethnic group, height, lives with a wife or partner, BMI, cigarette smoking, alcohol consumption, and diabetes. HRs per 1 SD increase are adjusted for regression dilution bias.

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    Figure 4.

    HR (95% CIs) of prostate cancer mortality by fifths of white blood cell indices. HRs are stratified by region and age at recruitment and adjusted for age (underlying time variable), Townsend deprivation score, racial/ethnic group, height, lives with a wife or partner, BMI, cigarette smoking, alcohol consumption, and diabetes. HRs per 1 SD increase are adjusted for regression dilution bias.

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  • Table 1.

    Summary description of hematologic parameters and measurement/calculation methods by UK Biobank.

    Hematologic parameterDescriptionMeasurement/calculation
    Red blood cell
     Red blood cell count (1012 cells/L)Number of red blood cells in the sampleMeasured
     Red blood cell distribution width (%)Spread of red blood cell populationDeriveda
     Hematocrit (%)Volume occupied by red blood cells in the blood(MCV × RBC)/10
     Hemoglobin concentration (g/dL)Total hemoglobin concentration in sampleMeasured
     MCV (fL)Average volume of red blood cellsDeriveda
     MCH (pg)Mass of hemoglobin in the average red blood cell(HGB/RBC) × 10
     MCHC (g/dL)Average mass of hemoglobin per the relative volume of red blood cells in the whole blood sample(HGB/HCT) × 100
     Reticulocyte count (1012 cells/L)Number of reticulocytes in the red blood cell sample% Reticulocyte × RBC
    Platelet
     Platelet count (109 cells/L)Number of platelets in the sampleMeasured
     Platelet distribution width (%)Variation in platelet volumeDeriveda
     Mean platelet volume (fL)Average volume of individual platelets in the sampleDeriveda
    White blood cell
     White blood cell count (109 cells/L)Number of white blood cells in the sampleMeasured
     Neutrophil count (109 cells/L)Number of neutrophils in the white blood cell sample(% Proportion of neutrophils/100) × WBC
     Eosinophil count (109 cells/L)Number of eosinophils in the white blood cell sample(% Proportion of eosinophils/100) × WBC
     Basophil count (109 cells/L)Number of basophils in the white blood cell sample(% Proportion of basophils/100) × WBC
     Monocyte count (109 cells/L)Number of monocytes in the white blood cell sample(% Proportion of monocytes/100) × WBC
     Lymphocyte count (109 cells/L)Number of lymphocytes in the white blood cell sample(% Proportion of lymphocytes/100) × WBC
    • Note: Measurement/calculation methods were obtained from: http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/haematology.pdf.

    • Abbreviations: HCT, hematocrit; HGB, hemoglobin concentration; RBC, red blood cell count; WBC, white blood cell count.

    • ↵aDerived values were calculated within the instrument using multiple scatterplots and histograms for each sample.

  • Table 2.

    Baseline characteristics and blood indices of men free from prostate cancer and men who developed prostate cancer.

    All men (n = 209,686)Men who developed prostate cancer (n = 5,723)
    Sociodemographic
     Age at recruitment (years), mean (SD)56.6 (8.2)62.2 (5.2)
     Most deprived quintile, % (n)19.8 (41,514)15.7 (896)
     Black ethnicity, % (n)1.5 (3,083)2.0 (117)
     Not in paid/self-employment, % (n)38.7 (81,179)57.1 (3,268)
     Living with partner, % (n)76.3 (160,064)79.2 (4,533)
    Anthropometric, mean (SD)
     Height (cm)175.6 (6.8)175.1 (6.7)
     BMI (kg/m2)27.8 (4.2)27.6 (3.8)
    Lifestyle, % (n)
     Current cigarette smokers12.4 (26,061)9.2 (524)
     Drinking alcohol ≥20 g per day43.3 (90,834)42.5 (2,432)
     Low physical activity (0–10 METs per week)27.4 (57,517)26.2 (1,500)
    Health history, % (n)
     Hypertension52.2 (109,380)59.0 (3,376)
     Diabetes6.9 (14,434)6.0 (342)
    Prostate-specific factors, % (n)
     Ever had a PSA test27.8 (58,279)45.9 (2,624)
     Family history of prostate cancer7.5 (15,750)13.0 (745)
    Blood measures at initial assessment, median (interquartile range)
     Red blood cell
      Red blood cell count (1012 cells/L)4.75 (4.51–4.99)4.73 (4.49–4.98)
      Red blood cell distribution width (%)13.3 (12.9–13.8)13.4 (13.0–13.9)
      Hematocrit (%)43.4 (41.5–45.2)43.3 (41.4–45.3)
      Hemoglobin concentration (g/dL)15.0 (14.4–15.7)15.0 (14.3–15.6)
      MCV (fL)91.4 (88.8–94.1)91.5 (88.9–94.2)
      MCH (pg)31.7 (30.7–32.7)31.7 (30.7–32.6)
      MCHC (g/dL)34.6 (34.0–35.2)34.5 (33.9–35.2)
      MSCV (fL)82.5 (79.2–85.9)82.6 (79.4–86.1)
      Reticulocyte count (1012 cells/L)0.06 (0.05–0.08)0.06 (0.05–0.08)
     Platelet
      Platelet count (109 cells/L)234 (202–269)233 (200–269)
      Platelet distribution width (%)16.5 (16.2–16.9)16.5 (16.2–16.9)
      Mean platelet volume (fL)9.18 (8.54–9.90)9.17 (8.53–9.93)
     White blood cell
      White blood cell count (109 cells/L)6.69 (5.67–7.90)6.70 (5.70–7.89)
      Neutrophil count (109 cells/L)4.06 (3.29–5.00)4.15 (3.36–5.09)
      Eosinophil count (109 cells/L)0.15 (0.10–0.24)0.15 (0.09–0.24)
      Basophil count (109 cells/L)0.029 (0.019–0.044)0.028 (0.019–0.043)
      Monocyte count (109 cells/L)0.49 (0.39–0.61)0.50 (0.40–0.62)
      Lymphocyte count (109 cells/L)1.81 (1.47–2.21)1.78 (1.45–2.18)
    • Abbreviation: MET, metabolic equivalent.

  • Table 3.

    Baseline characteristics of 209,686 men in UK Biobank according to observed red blood cell, platelet, and white blood cell count at initial assessment.

    Fifths of observed red blood cell countFifths of observed platelet countFifths of observed white blood cell count
    135135135
    Number of men41,44641,78641,03441,10241,23041,15741,32541,89241,266
    Age at recruitmenta, y58.5 (7.7)56.3 (8.2)55.1 (8.4)57.9 (8.1)56.5 (8.2)55.6 (8.1)55.2 (8.2)56.8 (8.1)57.4 (8.1)
    BMIa, kg/m227.1 (4.4)27.8 (4.1)28.6 (4.2)28.0 (4.3)27.8 (4.2)27.8 (4.3)26.7 (3.7)27.9 (4.0)28.8 (4.9)
    Heighta, cm175.2 (6.9)175.9 (6.8)175.5 (6.9)176.2 (6.9)175.8 (6.8)174.7 (6.8)176.7 (6.8)175.6 (6.8)174.5 (6.8)
    Smoking, n (%)
     Never17,891 (42.6)21,231 (49.9)22,203 (53.8)20,969 (50.0)20,816 (49.7)18,965 (45.6)24,491 (58.2)21,593 (50.9)14,856 (35.6)
     Former17,686 (42.1)16,128 (37.9)14,012 (33.9)16,087 (38.4)15,962 (38.1)15,834 (38.1)15,099 (35.9)16,675 (39.3)15,175 (36.4)
     Current6,199 (14.7)4,981 (11.7)4,779 (11.6)4,618 (11.0)4,874 (11.6)6,531 (15.7)2,283 (5.4)3,909 (9.2)11,320 (27.1)
    Educational level, n (%)
     No degree7,466 (17.8)8,034 (18.9)7,993 (19.4)7,545 (18.0)7,831 (18.7)8,059 (19.4)2,219 (17.9)7,915 (18.7)8,220 (19.7)
     Degree25,817 (61.4)29,400 (64.1)27,963 (62.6)26,592 (63.4)26,816 (63.9)25,283 (60.3)28,971 (68.9)27,044 (63.8)23,223 (55.7)
    Physical activity, n (%)
     Low10,684 (25.4)11,448 (26.9)12,680 (30.7)11,228 (26.8)11,308 (27.0)12,124 (29.1)9,644 (22.9)11,480 (27.1)13,588 (32.6)
     Moderate20,036 (47.7)20,606 (48.4)19,052 (46.1)20,485 (48.8)20,147 (48.1)19,116 (45.9)21,429 (50.9)20,422 (48.1)18,190 (43.6)
     High9,991 (23.8)9,247 (21.7)7,958 (19.3)8,958 (21.4)9,186 (21.9)8,874 (21.3)9,886 (23.5)9,215 (21.7)8,295 (19.9)
    Ethnicity, n (%)
     White40,320 (95.9)40,481 (96.3)36,815 (87.6)38,949 (92.9)39,514 (94.2)39,326 (93.8)38,872 (92.4)40,164 (94.7)39,330 (94.3)
     Not white1,485 (3.5)1,870 (4.4)4,207 (10.2)2,714 (6.5)2,164 (5.2)2,057 (5.0)2,964 (7.0)2,026 (4.8)2,137 (5.1)
    Diabetes at baseline, n (%)
     No37,762 (89.8)39,862 (93.6)38,456 (93.1)38,097 (90.8)39,100 (93.2)38,559 (91.9)40,243 (95.7)39,510 (93.1)36,720 (88.0)
     Yes4,089 (9.7)2,526 (5.9)2,544 (6.2)3,601 (8.6)2,625 (6.3)2,812 (6.8)1,652 (3.9)2,700 (6.4)4,727 (11.3)
    Marital status, n (%)
     Married31,181 (73.9)32,935 (77.0)31,388 (75.5)32,116 (76.6)32,328 (77.1)30,742 (73.3)32,689 (77.4)32,865 (77.1)29,637 (70.5)
     Not married10,853 (25.7)9,638 (22.5)9,906 (23.8)9,822 (23.4)9,565 (22.8)10,866 (25.9)9,370 (22.2)9,553 (22.4)12,092 (28.8)
    • Note: Percentages may not match due to missing data.

    • ↵aValues are means (SD).

  • Table 4.

    Multivariable-adjusted HRs (95% CIs) for prostate cancer by time to diagnosis in relation to hematologic indices.

    Diagnosed <4 years from baselineDiagnosed ≥4 years from baseline
    CasesHR (95% CI)CasesHR (95% CI)Phet
    Red blood cell
     Red blood cell count (1012 cells/L)2,9381.04 (1.01–1.08)2,7851.10 (1.06–1.14)0.07
     Red blood cell distribution width (%)2,9381.02 (0.98–1.06)2,7851.03 (0.99–1.07)0.77
     Hematocrit (%)2,9381.01 (0.98–1.05)2,7851.03 (0.99–1.07)0.52
     Hemoglobin concentration (g/dL)2,9381.01 (0.97–1.04)2,7851.01 (0.97–1.05)0.98
     MCV (fL)2,9380.95 (0.91–0.99)2,7850.90 (0.86–0.93)0.04
     MCH (pg)2,9380.95 (0.91–0.99)2,7850.88 (0.85–0.92)0.01
     MCHC (g/dL)2,9380.99 (0.95–1.02)2,7850.94 (0.91–0.98)0.13
     MSCV (fL)2,8860.97 (0.93–1.01)2,7460.90 (0.86–0.94)0.01
     Reticulocyte count (1012 cells/L)2,8850.98 (0.94–1.03)2,7461.00 (0.96–1.04)0.57
    Platelet
     Platelet count (109 cells/L)2,9381.03 (0.99–1.06)2,7851.09 (1.05–1.13)0.02
     Platelet distribution width (%)2,9380.99 (0.96–1.03)2,7850.99 (0.96–1.03)0.96
     Mean platelet volume (fL)2,8850.99 (0.96–1.03)2,7291.02 (0.98–1.05)0.42
    White blood cell
     White blood cell count (109 cells/L)2,9320.99 (0.95–1.03)2,7781.04 (1.00–1.08)0.12
     Neutrophil count (109 cells/L)2,9311.01 (0.97–1.05)2,7801.05 (1.01–1.09)0.17
     Eosinophils (109 cells/L)2,9300.97 (0.93–1.01)2,7770.98 (0.94–1.02)0.87
     Basophil count (109 cells/L)2,9201.00 (0.96–1.04)2,7660.98 (0.94–1.03)0.51
     Monocyte count (109 cells/L)2,9311.00 (0.96–1.04)2,7801.00 (0.96–1.05)0.88
     Lymphocyte count (109 cells/L)2,9310.97 (0.93–1.02)2,7801.00 (0.96–1.04)0.34
    • Note: HRs per 1 SD increase are stratified by region and age at recruitment and adjusted for age (underlying time variable), Townsend deprivation score, racial/ethnic group, height, lives with a wife or partner, BMI, cigarette smoking, alcohol consumption, and diabetes. Phet was estimated using stratified Cox models based on competing risks (<4 and ≥4 years from recruitment to diagnosis), and tested using the χ2 test of heterogeneity.

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    Cancer Epidemiology Biomarkers & Prevention: 29 (8)
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    Hematologic Markers and Prostate Cancer Risk: A Prospective Analysis in UK Biobank
    Eleanor L. Watts, Aurora Perez-Cornago, Jaimal Kothari, Naomi E. Allen, Ruth C. Travis and Timothy J. Key
    Cancer Epidemiol Biomarkers Prev August 1 2020 (29) (8) 1615-1626; DOI: 10.1158/1055-9965.EPI-19-1525

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    Hematologic Markers and Prostate Cancer Risk: A Prospective Analysis in UK Biobank
    Eleanor L. Watts, Aurora Perez-Cornago, Jaimal Kothari, Naomi E. Allen, Ruth C. Travis and Timothy J. Key
    Cancer Epidemiol Biomarkers Prev August 1 2020 (29) (8) 1615-1626; DOI: 10.1158/1055-9965.EPI-19-1525
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