| Literature DB >> 24787743 |
Haina Du1, Nannan Guo1, Bin Shi2, Qian Zhang1, Zhipeng Chen3, Kai Lu2, Yongqian Shu1, Tao Chen2, Lingjun Zhu1.
Abstract
BACKGROUND: The Xeroderma pigmento-sum group D gene (XPD) plays a key role in nucleotide excision repair. Single nucleotide polymorphisms (SNP) located in its functional region may alter DNA repair capacity phenotype and cancer risk. Many studies have demonstrated that XPD polymorphisms are significantly associated with digestive tract cancers risk, but the results are inconsistent. We conducted a comprehensive meta-analysis to assess the association between XPD Lys751Gln polymorphism and digestive tract cancers risk. The digestive tract cancers that our study referred to, includes oral cancer, esophageal cancer, gastric cancer and colorectal cancer.Entities:
Mesh:
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Year: 2014 PMID: 24787743 PMCID: PMC4008560 DOI: 10.1371/journal.pone.0096301
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of XPD polymorphisms Included in the Meta-analysis.
| study | Year | Ethnicity | Source of controls | Cases | Controls |
| ||||||
| N | Genotypes | N | Genotypes | |||||||||
| Lys/Lys | Lys/Gln | Gln/Gln | Lys/Lys | Lys/Gln | Gln/Gln | |||||||
|
| ||||||||||||
| Surya | 2005 | Asian | PB | 110 | 49 | 46 | 15 | 110 | 71 | 31 | 8 | 0.09 |
| Da-Tian | 2007 | Asian | HB | 154 | 134 | 18 | 2 | 105 | 89 | 15 | 1 | 0.68 |
| Mousumi | 2007 | Asian | HB | 388 | 190 | 158 | 40 | 309 | 158 | 125 | 26 | 0.85 |
| Suparp | 2005 | Asian | PB | 105 | 83 | 21 | 1 | 164 | 126 | 36 | 2 | 0.74 |
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| ||||||||||||
| 2002 | Asian | HB | 433 | 367 | 63 | 3 | 524 | 451 | 70 | 3 | 0.87 | |
| 2003 | Asian | HB | 325 | 278 | 44 | 3 | 383 | 331 | 49 | 3 | 0.43 | |
| Yu | 2004 | Asian | HB | 135 | 108 | 16 | 11 | 152 | 133 | 17 | 2 | 0.10 |
| Alan | 2005 | European | HB | 56 | 31 | 21 | 4 | 95 | 34 | 46 | 15 | 0.93 |
| Ye | 2006 | European | PB | 303 | 99 | 156 | 48 | 472 | 198 | 203 | 71 | 0.11 |
| Geoffrey | 2007 | European | HB | 182 | 61 | 98 | 23 | 336 | 143 | 161 | 32 | 0.16 |
| Ranbir | 2007 | Asian | HB | 120 | 52 | 61 | 7 | 160 | 63 | 77 | 20 | 0.63 |
| Darren | 2008 | European | HB | 312 | 104 | 159 | 49 | 453 | 193 | 208 | 52 | 0.72 |
| Heather | 2008 | European | PB | 208 | 80 | 94 | 34 | 247 | 91 | 121 | 35 | 0.60 |
| James | 2008 | European | PB | 263 | 108 | 123 | 32 | 1337 | 575 | 588 | 174 | 0.22 |
| Jennifer | 2009 | European | HB | 346 | 137 | 153 | 56 | 456 | 187 | 216 | 53 | 0.43 |
| Zhai | 2009 | Asian | HB | 200 | 167 | 31 | 2 | 200 | 148 | 51 | 1 | 0.12 |
| Huang | 2012 | Asian | HB | 213 | 150 | 55 | 8 | 358 | 274 | 79 | 5 | 0.79 |
|
| ||||||||||||
| Huang | 2005 | European | PB | 279 | 381 | 107 | 126 | 46 | 145 | 163 | 73 | 0.03 |
| Lou | 2006 | Asians | HB | 238 | 205 | 30 | 3 | 200 | 164 | 33 | 3 | 0.38 |
| Ye | 2006 | European | PB | 126 | 49 | 61 | 16 | 472 | 198 | 203 | 71 | 0.11 |
| Ruzzo | 2007 | European | PB | 89 | 29 | 44 | 16 | 94 | 25 | 53 | 16 | 0.18 |
| Zhou | 2006 | Asians | PB | 253 | 224 | 26 | 3 | 612 | 522 | 86 | 4 | 0.82 |
| Gabriel | 2008 | European | HB | 245 | 99 | 105 | 41 | 1172 | 447 | 555 | 170 | 0.91 |
| Doecke | 2008 | European | PB | 303 | 127 | 140 | 36 | 1337 | 575 | 588 | 174 | 0.22 |
| Zhang | 2009 | Asians | PB | 207 | 166 | 39 | 2 | 212 | 172 | 39 | 1 | 0.43 |
| Domenico | 2010 | European | PB | 295 | 90 | 157 | 48 | 546 | 177 | 284 | 85 | 0.09 |
| EMEL | 2010 | European | PB | 40 | 14 | 18 | 8 | 247 | 102 | 114 | 31 | 0.92 |
| Long | 2010 | Asians | HB | 361 | 616 | 139 | 151 | 71 | 400 | 164 | 52 | 0.00 |
| Ayse | 2011 | European | HB | 106 | 116 | 30 | 56 | 20 | 40 | 43 | 33 | 0.01 |
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| Camilla | 2006 | Asians | PB | 105 | 43 | 47 | 15 | 331 | 148 | 142 | 41 | 0.44 |
| Mariana | 2006 | European | PB | 740 | 387 | 298 | 55 | 789 | 392 | 317 | 80 | 0.18 |
| Skjelbred | 2006 | European | PB | 156 | 58 | 76 | 22 | 398 | 175 | 173 | 50 | 0.48 |
| Victor | 2006 | European | HB | 357 | 158 | 150 | 49 | 318 | 135 | 145 | 38 | 0.92 |
| Mariana | 2007 | Asians | PB | 303 | 251 | 48 | 4 | 1163 | 998 | 159 | 6 | 0.90 |
| Chih-Ching | 2007 | Asians | HB | 717 | 602 | 112 | 3 | 731 | 631 | 96 | 4 | 0.86 |
| Rikke | 2007 | European | PB | 396 | 160 | 178 | 58 | 798 | 311 | 382 | 105 | 0.47 |
| Tomasz | 2009 | European | HB | 100 | 56 | 33 | 11 | 100 | 42 | 41 | 17 | 0.21 |
| Wang | 2010 | Asians | HB | 302 | 138 | 130 | 34 | 291 | 137 | 117 | 37 | 0.13 |
| Jelonek | 2010 | European | PB | 123 | 54 | 47 | 22 | 153 | 66 | 68 | 19 | 0.81 |
| Canbay | 2011 | European | PB | 79 | 31 | 37 | 11 | 247 | 102 | 114 | 31 | 0.92 |
HB: hospital based.
PB: population based.
: Hardy–Weinberg Equilibrium (HWE) in controls: P<0.05. Overall analysis and subgroup analysis does not include these studies' data.
Figure 1Flow diagram of studies identification.
Figure 2Forest plot of digestive cancer risk associated with the XPD Lys751Gln polymorphisms.
Homozygote comparison.
Pooled ORs and 95%CIs of stratified meta-analysis.
| Stratification | No.case/control | GlnGln | GlnLys | GlnGln+GlnLys | GlnGln | ||||
| OR (95%CI) |
| OR (95%CI) |
| OR (95%CI) |
| OR (95%CI) |
| ||
| Total | 40(9773/17185) | 1.12(1.01,1.24) | 0.029 | 1.04(0.98–1.11) | 0.194 | 1.06(1.00,1.12) | 0.064 | 1.09(0.99,1.20) | 0.072 |
| Cancer type | |||||||||
| Colorectal cancer | 11(3378/5319) | 0.99(0.3,1.17) | 0.870 | 0.99(0.89,1.09) | 0.776 | 0.99(0.90,1.09) | 0.790 | 1.00(0.85,1.17) | 0.954 |
| Gastric cancer | 12(2542/5905) | 1.05(0.85,1.29) | 0.639 | 0.97(0.85,1.10) | 0.612 | 0.98(0.86,1.11) | 0.744 | 1.05(0.87,1.28) | 0.630 |
| Esophageal cancer | 13(3096/5173) | 1.29(1.08,1.54) | 0.005 | 0.90(0.81,1.00) | 0.056 | 0.91(0.77,1.07) | 0.235 | 0.84(0.66,1.07) | 0.159 |
| Oral cancer | 4(757/688) | 1.50(0.96,2.35) | 0.078 | 0.88(0.60,1.30) | 0.518 | 0.85(0.56,1.28) | 0.430 | 0.72(0.47,1.12) | 0.147 |
| Ethnicity | |||||||||
| Asian | 18(4669/6521) | 1.28(1.01,1.63) | 0.045 | 1.05(0.95,1.17) | 0.340 | 1.08(0.98,1.19) | 0.133 | 1.21(0.96,1.53) | 0.110 |
| European | 22(5104/10564) | 1.09(0.97,1.22) | 0.144 | 1.04(0.96,1.12) | 0.363 | 1.05(0.97,1.13) | 0.232 | 1.07(0.96,1.19) | 0.210 |
| Source of control | |||||||||
| HB | 20(5290/7075) | 1.19(1.01,1.40) | 0.038 | 1.02(0.93,1.12) | 0.703 | 1.02(0.89, 1.16) | 0.787 | 1.16(0.95,1.41) | 0.140 |
| PB | 20(4483/10010) | 1.08(0.94,1.23) | 0.267 | 1.06(0.98,1.16) | 0.157 | 1.07(0.98,1.15) | 0.122 | 1.04(0.92,1.18) | 0.715 |
NO: involved studies' number; Gln Lys VS.LysLys: Heterozygote comparison; GlnGln vs.LysLys: Homozygote comparison; GlnGln+GlnLys vs. LysLys: Dominant model; GlnGln vs. GlnLys+LysLys: Recessive model; Random model was chosen for data pooling when P<0.10 and/or I>50%; otherwise fixed model was used.
the results were excluded due to potential heterogeneity.
Figure 3Forest plot of digestive cancer risk associated with the XPD Lys751Gln polymorphisms in Asian subgroups (based on homozygote comparison).
A fixed-effects model was used. The squares and horizontal lines correspond to the study-specific OR and 95% CI. The area of the squares reflects the weight (inverse of the variance). The diamond represents the summary OR and 95% CI.
Figure 4Influence analysis of the summary odds ratio coefficients on the association between XPD Lys751Gln homozygote comparison with digestive tract cancers risk.
Results were computed by omitting each study (left column) in turn. Bars, 95% CI.
Figure 5Begg's funnel plot for publication bias test (Homozygote comparison).
Each point represents a separate study for the indicated association.
Heterogeneity test.
| Stratification | Gln Gln | Gln Lys | GlnGln+GlnLys | GlnGln |
| Ph, I2 (%) | Ph, I2 (%) | Ph, I2 (%) | Ph, I2 (%) | |
| Digestive cancers | 0.133, 20.9 | 0.064,27.6 | 0.011, 38.3 | 0.385, 4.9 |
| Cancer type | ||||
| Esophageal cancer | 0.033, 46.6 | 0.022, 49.3 | 0.004,58.2 | 0.084,37.4 |
| Gastric cancer | 0.930,0 | 0.554,0 | 0.698,0 | 0.864,0 |
| Colorectal cancer | 0.310,13 | 0.470,0 | 0.328,12.2 | 0.387,5.9 |
| Oral cancer | 0.529, 0 | 0.095, 52.5 | 0.052,61.1 | 0.795, 0 |
| Source of control | ||||
| Hospital-based | 0.043,39.6 | 0.051,38.2 | 0.006,51.6 | 0.180,23.2 |
| Population-based | 0.550,0 | 0.243,17.3 | 0.184,22.3 | 0.715,0 |
| Ethnicity | ||||
| Asian | 0.287,14.2 | 0.174,24.2 | 0.057,38.0 | 0.353,8.6 |
| European | 0.137, 26.3 | 0.074,334 | 0.029,41.2 | 0.414,3.4 |
Ph: P-value of Q-test for heterogeneity identification; I index: a quantitative measurement which indicates the proportion of total variation in study estimates that is due to between-study heterogeneity.