| Literature DB >> 23784081 |
Nicola Ingram1, Emma L Northwood, Sarah L Perry, Gemma Marston, Helen Snowden, John C Taylor, Nigel Scott, D Timothy Bishop, P Louise Coletta, Mark A Hull.
Abstract
We investigated the role of interleukin (IL)-4 receptor (IL-4R) signalling during mouse carcinogen-induced colorectal carcinogenesis and in a case-control genetic epidemiological study of IL-4Rα single nucleotide polymorphisms (SNPs). Azoxymethane-induced aberrant crypt focus (ACF; 6 weeks) and tumours (32 weeks) were analysed in wild-type (WT) BALB/c mice, as well as in IL-4Rα (-) (/-) , IL-13 (-/-) and 'double-knockout' (DKO) animals. Colorectal cancer (CRC) cases (1502) and controls (584) were genotyped for six coding IL-4Rα SNPs. The association with CRC risk and CRC-specific mortality was analysed by logistic regression. Lack of IL-4Rα expression was associated with increased ACFs [median 8.5 ACFs per mouse (IL-4Rα (-/-) ) versus 3 (WT); P = 0.007], but no difference in the number of colorectal tumours [mean 1.4 per mouse (IL-4Rα (-/-) ) versus 2 (WT)], which were smaller and demonstrated reduced nuclear/cytoplasmic β-catenin translocation compared with WT tumours. Tumour-bearing IL-4Rα (-/-) mice had fewer CD11b(+)/Gr1(+) myeloid-derived suppressor splenocytes than WT animals. IL-13 (-/-) mice developed a similar number of ACFs to IL-4Rα (-/-) and DKO mice. There was a significant increase in CRC risk associated with the functional SNP Q576R [odds ratio 1.54 (95% confidence interval 0.94-2.54), P trend 0.03 for the minor G allele]. There was no effect of IL-4Rα genotype on either CRC-specific or all-cause mortality. These combined pre-clinical and human data together demonstrate that reduced IL-4R signalling has stage-specific effects on colorectal carcinogenesis (increased CRC initiation and risk but reduced tumour progression and no effect on CRC mortality). These results should prompt evaluation of the effect of pharmacological manipulation of IL-4R signalling on future CRC risk and for CRC treatment.Entities:
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Year: 2013 PMID: 23784081 PMCID: PMC3786383 DOI: 10.1093/carcin/bgt222
Source DB: PubMed Journal: Carcinogenesis ISSN: 0143-3334 Impact factor: 4.944
Fig. 1.Lack of IL-4Ra-mediated signalling is associated with an increase in AOM-induced ACF multiplicity. (A) The number of ACFs per colon 6 weeks after sham or AOM treatment in WT and IL-4Rα mice. Data are from individual mice. Bars represent the median value for each group. The number of mice within each group is noted below the treatment group labels. *P = 0.007; Mann–Whitney U-test. (B) The number of ACFs per colon 32 weeks after sham or AOM treatment in WT and IL-4Rα mice. Data are from individual mice. Bars represent the median value for each group. The number of mice within each group is noted below the treatment group labels. *P = 0.002; Mann–Whitney U-test. (C) ACF size (measured as the number of abnormal crypts per ACF) in WT and IL-4Rα mice 6 weeks after AOM administration. (D) ACF size in WT and IL-4Rα mice 32 weeks after AOM administration. ACF size was not significantly different between WT and IL-4Rα mice at either 6 or 32 weeks after AOM administration (both P = 0.7; Mann–Whitney U-test).
Fig. 2.AOM-induced tumour characteristics in BALB/c mice. (A) All tumours exhibited high-grade dysplasia. There was no invasion of the muscularis mucosa, so tumours were classified as carcinoma in situ. Size bar = 100 μm. (B) The size (maximum diameter) of colonic tumours in WT and IL-4Rα mice. Data points represent individual adenomas and the bars indicate the median value for each group. *P = 0.05 (Mann–Whitney U-test) for the difference between genotypes.
Fig. 3.Biomarkers of proliferation, apoptosis and tumour growth at 32 weeks after AOM administration. (A) The BrdU crypt proliferation index in non-neoplastic mucosa from WT and IL-4Rα mice. For each genotype, data are the mean and standard error of a minimum of 149 crypts counted in 8 separate mice. P = 0.25 for the difference between WT and IL-4Rα animals (Mann–Whitney U-test). (B) The BrdU proliferation index in WT (n = 6) and IL-4Rα (n = 6) tumours. Individual tumour proliferation index values are shown with bars representing the mean value. A mean of 1296 (SD = 514) dysplastic epithelial cells per adenoma was counted. P = 0.12 for the difference between WT and IL-4Rα animals (Mann–Whitney U-test). (C) Cleaved caspase 3 AI in WT (n = 6) and IL-4Rα (n = 5) tumours. Individual tumour AI values are shown with bars representing the mean value. A mean of 2643 (SD = 582) dysplastic epithelial cells per adenoma was counted (*P = 0.05; Mann–Whitney U-test). (D) β-Catenin localization in dysplastic cells in AOM-induced colonic tumours from WT and IL-4Rα mice. A mean of 860 cells per adenoma was assessed for β-catenin localization by immunohistochemistry. The results are presented as the mean of the percentage of cells with no or membranous β-catenin staining and nuclear and/or cytoplasmic β-catenin staining per adenoma from WT (n = 6) and IL-4Rα mice (n = 6).
Fig. 4.Lack of IL-13-mediated signalling does not abrogate the increase in AOM-mediated ACF development in IL-4Rα−/− mice compared with WT animals. (A) The number of ACFs per colon 6 weeks after sham or AOM treatment in WT, IL-13 , IL-4Rα and IL-4Rα × IL-13 DKO mice. Data are from individual mice. Bars represent the median value for each group. The number of mice within each group is noted below the treatment group labels. (B) ACF size (measured as the number of abnormal crypts in each ACF) in WT, IL-13 , IL-4Rα and DKO mice 6 weeks after AOM administration. There was no significant difference between the genotypes (Kruskal–Wallis test followed by Dunn’s multiple comparison test).
Characteristics of CRC cases and controls in the IL-4Rα SNP study
| Characteristic | Statistic |
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| Age (years) | Mean (SD) | 67.3 (9.3) | 67.3 (10.5) | 1.00 (0.99, 1.01) | 0.96 |
| Sex | |||||
| Male |
| 273 (46.8) | 881 (58.7) | 1.0 | |
| Female | 311 (53.3) | 621 (41.3) | 0.62 (0.51, 0.75) | <0.001 | |
| Ever smoked | |||||
| No |
| 248 (42.7) | 504 (38.2) | 1.0 | |
| Yes | 333 (57.3) | 816 (61.8) | 1.21 (0.99, 1.47) | 0.06 | |
| BMI (kg/m | Mean (SD) | 26.3 (4.5) | 26.0 (4.3) | 0.99 (0.96, 1.01) | 0.19 |
| Vigorous physical activity | |||||
| No |
| 415 (72.4) | 920 (70.3) | 1.0 | |
| Yes | 158 (27.6) | 389 (29.7) | 1.11 (0.89, 1.38) | 0.35 | |
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| No |
| 375 (64.5) | 932 (70.7) | 1.0 | |
| Yes | 206 (35.5) | 386 (29.3) | 0.75 (0.61, 0.93) | 0.008 | |
aSignificance values (P) were calculated by Pearson’s chi square for sex, ever smoked and vigorous physical activity. Student’s t-test was used for age and BMI comparisons.
bThe number of cases and controls analysed for each factor varied slightly because of missing data.
cVigorous physical exercise was defined by the question “In a typical week one year ago, did you exercise (includes housework, DIY, gardening, walking) vigorously enough to cause sweating or a faster heartbeat?”
dContinuous NSAID use was defined by the question “Have you ever taken NSAIDs on a regular basis for periods of 3 months or longer?”
The relationship between IL-4Rα SNPs and CRC susceptibility
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| rs1801275 | AA | 364 (63.1) | 847 (58.5) | 1.0 | 1.0 | ||||
| Q576R | AG | 190 (32.9) | 524 (36.2) | 1.19 | (0.96–1.46) | 0.107 | 1.18 | (0.96–1.46) | 0.121 |
| GG | 23 (4.0) | 77 (5.3) | 1.44 | (0.89–2.33) | 0.139 | 1.54 | (0.94–2.54) | 0.089 | |
| Trend | 1.19 | (1.01–1.41) | 0.041 | 1.21 | (1.02–1.43) | 0.033 | |||
| rs1805015 | TT | 400 (69.4) | 951 (65.7) | 1.0 | 1.0 | ||||
| S503P | TC | 158 (27.4) | 442 (30.5) | 1.18 | (0.95–1.46) | 0.140 | 1.16 | (0.93–1.45) | 0.186 |
| CC | 18 (3.1) | 54 (3.7) | 1.26 | (0.73–2.18) | 0.404 | 1.40 | (0.79–2.47) | 0.249 | |
| Trend | 1.16 | (0.97–1.38) | 0.111 | 1.17 | (0.97–1.40) | 0.097 | |||
| rs1805016 | TT | 525 (91.1) | 1288 (89.0) | 1.0 | 1.0 | ||||
| A752S | TG | 51 (8.9) | 155 (10.7) | 1.24 | (0.89–1.73) | 0.207 | 1.27 | (0.90–1.79) | 0.168 |
| GG | 0 (0.0) | 4 (0.3) | NA | NA | |||||
| Trend | 1.29 | (0.94–1.79) | 0.120 | 1.34 | (0.96–1.87) | 0.086 | |||
| rs1805013 | CC | 536 (92.3) | 1308 (90.5) | 1.0 | 1.0 | ||||
| S436L | CT | 44 (7.6) | 136 (9.4) | 1.27 | (0.89–1.81) | 0.191 | 1.34 | (0.93–1.93) | 0.116 |
| TT | 1 (0.2) | 2 (0.1) | 0.82 | (0.07–9.06) | 0.871 | 1.04 | (0.09–11.82) | 0.976 | |
| Trend | 1.24 | (0.88–1.74) | 0.222 | 1.31 | (0.92–1.87) | 0.129 | |||
| rs1805011 | AA | 439 (77.3) | 1073 (76.0) | 1.0 | 1.0 | ||||
| A400E | AC | 117 (20.6) | 305 (21.6) | 1.07 | (0.84–1.36) | 0.599 | 1.06 | (0.83–1.36) | 0.628 |
| CC | 12 (2.1) | 33 (2.3) | 1.13 | (0.58–2.20) | 0.730 | 1.14 | (0.57–2.24) | 0.714 | |
| Trend | 1.06 | (0.87–1.30) | 0.544 | 1.06 | (0.86–1.31) | 0.558 | |||
| rs1805010 | AA | 162 (28.8) | 428 (30.4) | 1.0 | 1.0 | ||||
| I75V | AG | 295 (52.4) | 700 (49.7) | 0.90 | (0.72–1.13) | 0.352 | 0.91 | (0.72–1.15) | 0.421 |
| GG | 106 (18.8) | 280 (19.9) | 1.00 | (0.75–1.33) | 0.999 | 0.99 | (0.73–1.33) | 0.928 | |
| Trend | 0.99 | (0.86–1.14) | 0.871 | 0.98 | (0.85–1.14) | 0.826 | |||
aAdjusted for sex and NSAID use.
bThe total number of cases and controls differ across SNPs reflecting a small number of failed SNP assays.
cSNPs rs1805016 and rs1805013 are in strong linkage disequilibrium with a Dʹ value of 0.9.