| Literature DB >> 21426550 |
Kamel Rouissi1, Islem Ben Bahria, Karim Bougatef, Raja Marrakchi, Nejla Stambouli, Khouloud Hamdi, Mohamed Cherif, Mohamed Riadh Ben Slama, Mohamed Sfaxi, Fethi Ben Othman, Mohamed Chebil, Amel Benammar Elgaaied, Slah Ouerhani.
Abstract
BACKGROUND: In this work, we have conducted a case-control study in order to assess the effect of tobacco and three genetic polymorphisms in XPC, ERCC2 and ERCC5 genes (rs2228001, rs13181 and rs17655) in bladder cancer development in Tunisia. We have also tried to evaluate whether these variants affect the bladder tumor stage and grade.Entities:
Mesh:
Substances:
Year: 2011 PMID: 21426550 PMCID: PMC3068124 DOI: 10.1186/1471-2407-11-101
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Details of RFLPs studied
| Gene/exon | Polymorphism (amino acid change) | SNP reference | Genotype | PCR product sizes (Pb) | Restriction enzyme |
|---|---|---|---|---|---|
| rs2228001 | |||||
| rs13181 | |||||
| rs17655 | |||||
Comparisons of the XPC, ERCC2 and ERCC5 alleles and genotypes distributions between patients and controls
| N (%) | ||||
|---|---|---|---|---|
| Alleles and Genotypes | Controls (N = 193) | Patients (N = 193) | P value | OR (95% CI) |
| AA | 79 (40.9) | 74 (38.3) | - | 1* |
| AC | 92 (47.7) | 76 (39.4) | 0.65 | - |
| CC | 22 (11.4) | 43 (22.3) | 0.04** | 2.09 (1.09-3.99) |
| A | 250 (64.8) | 224 (58.0) | - | 1* |
| C | 136 (35.2) | 162 (42.0) | 0.06 | - |
| AA | 86 (44.6) | 97 (50.3) | - | 1* |
| AC | 86 (44.6) | 76 (39.4) | 0.30 | - |
| CC | 21 (10.9) | 20 (10.4) | 0.75 | - |
| A | 258 (66.8) | 270 (69.9) | - | 1* |
| C | 128 (33.2) | 116 (30.1) | 0.39 | - |
| GG | 87 (45.1) | 95 (49.2) | - | 1* |
| GC | 86 (44.6) | 70 (36.3) | 0.21 | - |
| CC | 20 (10.4) | 28 (14.5) | 0.55 | - |
| G | 260 (67.3) | 260 (67.3) | - | 1* |
| C | 126 (32.7) | 126 (32.7) | 0.93 | - |
95% CI: Confidence Interval, 1*: reference group, **: Corrected p value (Bonferroni's correction)
Case-control study: implication of tobacco and polymorphisms in XPC, ERCC2 and ERCC5 on bladder cancer development
| 95% Confidence Interval for Exp(B) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Cases | Intercept | -1,10 | 1,08 | 1,03 | 1 | ,31 | |||
| Sex | ,30 | ,42 | ,53 | 1 | ,46 | 1,36 | ,59 | 3,11 | |
| Age range | 1,82 | ,39 | 21,99 | 1 | ,00 | 6,22 | 2,89 | 13,35 | |
| [XPC (A/C) = AA] | -,85 | ,34 | 6,06 | 1 | ,01 | ,42 | ,21 | ,84 | |
| [XPC (A/C) = AC] | -1,01 | ,34 | 8,80 | 1 | ,00 | ,36 | ,18 | ,70 | |
| [XPC (A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC2 (A/C) = AA] | ,12 | ,40 | ,10 | 1 | ,75 | 1,13 | ,51 | 2,51 | |
| [ERCC2 (A/C) = AC] | -,16 | ,40 | ,15 | 1 | ,69 | ,85 | ,38 | 1,90 | |
| [ERCC2 (A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC5 (G/C) = CC] | ,55 | ,38 | 2,11 | 1 | ,14 | 1,74 | ,82 | 3,71 | |
| [ERCC5 (G/C) = GC] | -,22 | ,24 | ,85 | 1 | ,35 | ,79 | ,49 | 1,29 | |
| [ERCC5 (G/C) = GG] | 0b | . | . | 0 | . | . | . | . | |
| [Tobacco PY = 0] | -1,18 | ,32 | 13,03 | 1 | ,00 | ,30 | ,16 | ,58 | |
| [Tobacco PY = 1-19] | -1,97 | ,45 | 19,17 | 1 | ,00 | ,13 | ,05 | ,33 | |
| [Tobacco PY ≥ 20] | 0b | . | . | 0 | . | . | . | . | |
This reduced model was obtained after adjustment to sex and age; a: The reference category is controls group; b: this parameter is set to zero because it is redundant; PY: pack years. Logistic regression: Number of observation = 386, Chi-square: 88.409, p = 0.000, Pseudo R-square = 0.205, Log likelihood = 206,541
Logistic regression: effect of tobacco and XPC, ERCC2 and ERCC5 polymorphisms on tumors stages
| 95% Confidence Interval for Exp(B) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| stade a | B | Std. Error | Wald | Df | Exp(B) | Lower Bound | Upper Bound | ||
| Pt1 | Intercept | -,55 | 1,80 | ,09 | 1 | ,75 | |||
| Sex | ,97 | ,78 | 1,54 | 1 | ,21 | 2,64 | ,57 | 12,20 | |
| Age | -1,16 | ,47 | 6,06 | 1 | ,01 | ,31 | ,12 | ,78 | |
| [XPC (A/C) = AA] | -,11 | ,53 | ,04 | 1 | ,82 | ,89 | ,31 | 2,53 | |
| [XPC (A/C) = AC] | ,49 | ,54 | ,83 | 1 | ,36 | 1,64 | ,56 | 4,74 | |
| [XPC (A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC2 (A/C) = AA] | ,66 | ,64 | 1,07 | 1 | ,30 | 1,94 | ,55 | 6,84 | |
| [ERCC2 (A/C) = AC] | ,24 | ,65 | ,13 | 1 | ,71 | 1,27 | ,35 | 4,56 | |
| [ERCC2 (A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC5 (G/C) = CC] | ,64 | ,65 | ,99 | 1 | ,31 | 1,91 | ,53 | 6,82 | |
| [ERCC5(G/C) = GC] | ,25 | ,41 | ,36 | 1 | ,54 | 1,28 | ,57 | 2,87 | |
| [ERCC5(G/C) = GG] | 0b | . | . | 0 | . | . | . | . | |
| [PY = 0] | ,20 | ,56 | ,13 | 1 | ,71 | 1,22 | ,40 | 3,72 | |
| [PY = 1-19] | -1,87 | ,89 | 4,41 | 1 | ,03 | ,15 | ,02 | ,88 | |
| [PY ≥ 20] | 0b | . | . | 0 | . | . | . | . | |
| ≥pT2 | Intercept | -,62 | 3,04 | ,04 | 1 | ,83 | |||
| Sex | 1,27 | 1,41 | ,81 | 1 | ,36 | 3,58 | ,22 | 57,00 | |
| Age | -1,71 | ,63 | 7,22 | 1 | ,00 | ,18 | ,05 | ,63 | |
| [XPC(A/C) = AA] | -,42 | ,59 | ,51 | 1 | ,47 | ,65 | ,20 | 2,10 | |
| [XPC(A/C) = AC] | -,19 | ,62 | ,09 | 1 | ,75 | ,82 | ,24 | 2,77 | |
| [XPC(A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC2(A/C) = AA] | ,65 | ,80 | ,67 | 1 | ,41 | 1,93 | ,40 | 9,29 | |
| [ERCC2(A/C) = AC] | ,34 | ,80 | ,18 | 1 | ,67 | 1,40 | ,29 | 6,81 | |
| [ERCC2(A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC5(G/C) = CC] | 1,02 | ,71 | 2,07 | 1 | ,14 | 2,79 | ,69 | 11,33 | |
| [ERCC5(G/C) = GC] | -,16 | ,50 | ,10 | 1 | ,74 | ,84 | ,31 | 2,29 | |
| [ERCC5(G/C) = GG] | 0b | . | . | 0 | . | . | . | . | |
| [PY = 0] | -1,21 | ,88 | 1,87 | 1 | ,17 | ,29 | ,05 | 1,69 | |
| [PY = 1-19] | -2,24 | 1,16 | 3,72 | 1 | ,05 | ,10 | ,01 | 1,03 | |
| [PY ≥ 20] | 0b | . | . | 0 | . | . | . | . | |
This model was obtained after adjustment to sex and age; a: The reference category is Pta tumor group; b: this parameter is set to zero because it is redundant; PY: pack years. Logistic regression: Number of observation = 193, Chi-square: 32.851, p = 0.035, Pseudo R-square = 0.087, Log likelihood = 187,948
Effect of tobacco and XPC, ERCC2 and ERCC5 polymorphisms on pT1 tumors grade
| 95% Confidence Interval for Exp(B) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| grade a | B | Std. Error | Wald | df | Exp(B) | Lower Bound | Upper Bound | ||
| III | Intercept | ,38 | 3,21 | ,01 | 1 | ,91 | |||
| Sex | -1,20 | 1,42 | ,72 | 1 | ,40 | ,30 | ,02 | 4,84 | |
| Age | ,55 | ,78 | ,49 | 1 | ,48 | 1,73 | ,37 | 8,05 | |
| [XPC (A/C) = AA] | -,01 | ,82 | ,00 | 1 | ,98 | ,98 | ,20 | 4,90 | |
| [XPC (A/C) = AC] | ,14 | ,75 | ,03 | 1 | ,86 | 1,15 | ,26 | 4,98 | |
| [XPC (A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC2 (A/C) = AA] | ,43 | ,92 | ,21 | 1 | ,64 | 1,53 | ,25 | 9,30 | |
| [ERCC2 (A/C) = AC] | -,29 | ,97 | ,09 | 1 | ,76 | ,74 | ,11 | 4,96 | |
| [ERCC2 (A/C) = CC] | 0b | . | . | 0 | . | . | . | . | |
| [ERCC5 (G/C) = CC] | ,58 | ,89 | ,42 | 1 | ,52 | 1,78 | ,31 | 10,26 | |
| [ERCC5 (G/C) = GC] | -,08 | ,58 | ,02 | 1 | ,89 | ,92 | ,30 | 2,88 | |
| [ERCC5 (G/C) = GG] | 0b | . | . | 0 | . | . | . | . | |
| [PY = 0] | 1,93 | ,82 | 5,54 | 1 | ,02 | 6,89 | 1,38 | 34,33 | |
| [PY = 1-19] | -18,32 | ,00 | . | 1 | . | 1,10 | 1,10 | 1,10 | |
| [PY ≥ 20] | 0b | . | . | 0 | . | . | . | . | |
This model was obtained after adjustment to sex and age; a: The reference category is pT1 with Grade II tumor; b: this parameter is set to zero because it is redundant; PY: pack years. Logistic regression: Number of observation = 87, Chi-square: 24.173, p = 0.007, Pseudo R-square = 0.213, Log likelihood = 57.865