| Literature DB >> 32987702 |
Nazlisadat Seyed Khoei1, Gabriele Anton2, Annette Peters2, Heinz Freisling3, Karl-Heinz Wagner1.
Abstract
Emerging studies have suggested that bilirubin, particularly unconjugated bilirubin (UCB), has substantial anti-inflammatory and antioxidant properties that protect against oxidative stress-associated diseases such as cancer. Few observational studies have investigated the etiological role of bilirubin in colorectal cancer (CRC) development. In this case-control study, nested in the population-based prospective cohort of the Cooperative Health Research in the Region of Augsburg (KORA) study in south Germany, pre-diagnostic circulating UCB concentrations were measured by high-performance liquid chromatography in 77 CRC cases and their individually matched controls. Multivariable unconditional logistic regression was used to estimate the odds ratios (OR) and 95% confidence intervals (CI) for associations between log-transformed UCB levels (log-UCB), standardized per one-standard-deviation (one-SD) increment, and CRC risk. The models were a priori stratified by sex based on previous evidence. In the fully adjusted models, each one-SD increment in log-UCB was indicative of a positive association with CRC risk (OR, 1.20; 95% CI, 0.52-2.79) among men, and of an inverse association (OR, 0.76; 95% CI, 0.34-1.84) among women (Pheterogeneity = 0.4 for differences between men and women). We found little evidence for sex-specific associations of circulating bilirubin with CRC risk, and further studies are needed to confirm or refute the potential associations.Entities:
Keywords: KORA; antioxidants; bilirubin; cancer; colorectal cancer; unconjugated bilirubin
Year: 2020 PMID: 32987702 PMCID: PMC7598693 DOI: 10.3390/antiox9100908
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Baseline characteristics of colorectal cancer cases and their individually matched controls by sex in the Cooperative Health Research in the Region of Augsburg (KORA) nested case-control study.
| Parameters | Men | Women | ||||
|---|---|---|---|---|---|---|
| Case | Control | P | Case | Control | P | |
| N | 49 | 49 | 28 | 28 | ||
| Age at blood collection (years) | 59.2 (11.7) | 59.4 (11.8) | >0.9 | 58.5 (10.5) | 58.6 (10.6) | >0.9 |
| UCB (µmol/L) | 5.0 (3.5) | 5.7 (4.6) | 0.3 | 3.2 (2.2) | 3.9 (3.3) | 0.5 |
| Weight (kg) | 85.0 (12.9) | 82.2 (11.7) | 0.3 | 71.0 (13.2) | 72.0 (13.3) | 0.8 |
| Height (cm) | 171.7 (7.5) | 173.0 (6.1) | 0.4 | 159.7 (5.9) | 160.3 (7.4) | 0.8 |
| BMI (kg/m²) | 28.8 (3.7) | 27.5 (3.4) | 0.1 | 27.8 (4.8) | 28.0 (4.6) | 0.8 |
| Alcohol intake (g/day) | 34.3 (29.1) | 34.6 (28.5) | >0.9 | 11.1 (13.6) | 13.9 (16.9) | 0.7 |
| Smoking status (n, %) | 0.02 | 0.3 | ||||
| Current | 10 (26) | 6 (15) | 6 (22) | 2 (8) | ||
| Former | 22 (56) | 14 (36) | 4 (15) | 6 (23) | ||
| Never | 7 (18) | 19 (49) | 17 (63) | 18 (69) | ||
| Physical activity (n, %) † | 0.2 | 0.2 | ||||
| Active | 13 (34) | 19 (49) | 12 (44) | 7 (27) | ||
| Inactive | 25 (66) | 20 (51) | 15 (56) | 19 (73) | ||
| Menopause stage (n, %) | 0.6 | |||||
| Post-menopausal | 20 (83) | 19 (79) | ||||
| Pre-menopausal | 4 (17) | 4 (17) | ||||
| Use of HT (n, %) | >0.9 | |||||
| Yes | 3 (11) | 3 (11) | ||||
| No | 25 (89) | 25 (89) | ||||
| Healthy eating patterns (n, %) ‡ | 0.5 | 0.04 | ||||
| Healthy | 21 (64) | 23 (72) | 13 (62) | 18 (90) | ||
| Unhealthy | 12 (36) | 9 (28) | 8 (38) | 2 (10) | ||
Values are means (SD) unless stated otherwise. Abbreviations: N, n: number; UCB: unconjugated bilirubin; BMI: body mass index; g: gram; HT: hormone therapy. Categorical variables are expressed as n (%), and continuous variables, as means (SD) or medians (5, 95%). Paired t-tests (mean comparison) and chi-square tests for categorical variables were used to calculate the P-values. Numbers of missing values (cases/controls): physical activity (12/12), smoking status (11/12), menopause stage (6/6), healthy eating patterns (23/25). Missing values were not excluded in percentage calculations; therefore, the percentage sum across subgroups is not 100%. † Active: regular physical activity (≥1 h/week); inactive: irregular physical activity (< 1 h/week); no or very little physical activity. ‡ Based on food frequency questionnaire in the KORA surveys according to the recommendations of the German Nutrition Society (DGE), the optimal frequency of 16 food groups was considered as “optimal” (right frequency) = 2 points, “normal” (middle frequency) = 1 point, and adverse (wrong frequency) = 0 points. If the points were ≤13, the unhealthy eating category was chosen, and if the points were ≥14, the normal and healthy eating category was chosen. The score was validated at the individual and population level in two KORA surveys by using additional 7-day food diaries [30].
Odds ratios and 95% confidence intervals for the association between bilirubin levels and colorectal cancer (CRC) risk in the KORA study.
| OR (95% CI) | |||||
|---|---|---|---|---|---|
| N Cases/ Controls | Crude | P | Adjusted | P | |
|
| 77/77 | 0.83 (0.53–1.31) | 0.4 | 0.97 (0.50–1.86) | 0.9 |
|
| 49/49 | 0.81 (0.47–1.40) | 0.4 | 1.20 (0.52–2.79) | 0.7 |
|
| 28/28 | 0.86 (0.48–1.56) | 0.6 | 0.76 (0.34–1.84) | 0.5 |
Analyses were conducted using unconditional logistic regression models to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between log-transformed UCB levels (log-UCB), standardized per one-standard-deviation (one-SD) increment, and CRC risk with age, sex, and study adjustment in the crude model. Full models were further adjusted for BMI, height, alcohol consumption, physical activity, smoking status, and dietary patterns (individual components were not available), as well as hormone therapy (HT) and menopausal status in women. Pheterogeneity for sex differences was equal to 0.4.