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©2005 Baishideng Publishing Group Inc.
World J Gastroenterol. May 7, 2005; 11(17): 2531-2538
Published online May 7, 2005. doi: 10.3748/wjg.v11.i17.2531
Published online May 7, 2005. doi: 10.3748/wjg.v11.i17.2531
Table 1 Summary of studies included in the analysis of CYP1A1, CYP2E1, GASTM1, GSTT1 and GSTP1.
Study | Yr | Study design | Cases Mean age | Controls Mean age | Cases Man (%) | Controls Man (%) | Polymorphisms | Result | Adjusted factors | Reference |
Hori H | 1997 | 2 | NA | NA | 78 (83) | NA | CYP1A1, MspI | NS | 42 | |
CYP1A1, IIe-Val | NS | |||||||||
GSTM1 | NS | |||||||||
CYP2E1, Rsal | NS | |||||||||
Nimura Y | 1997 | 1 | NA | NA | 67 (75) | 76 (55) | CYP1A1, IIe-Val | S | 43 | |
GSTM1 | NS | |||||||||
Morita S | 1997 | 2 | 62.2 | 50.5 | 45 (85) | 112 (85) | CYP1A1, IIe-Val | NS | 44 | |
CYP2E1, Rsal | NS | |||||||||
GSTM1 | NS | |||||||||
Morita S | 1998 | 2 | 62.1 | 49.8 | 56 (85) | 102 (62) | GSTP1 | S | 45 | |
Lin DX | 1998 | NA | 55.5 | 53.3 | 27 (60) | 23 (50) | CYP2E1, Rsal | S | Adjusted by age and sex | 36 |
CYP2E1,Dral | NS | |||||||||
GSTM1 | NS | |||||||||
GSTT1 | NS | |||||||||
GSTP1 | NS | |||||||||
Van Lieshout EM | 1999 | 2 | NA | 52 | 27 (79) | 98 (40) | CYP1A1, MspI | S | 46 | |
CYP1A1, IIe-Val | NS | |||||||||
GSTM1 | NS | |||||||||
GSTT1 | NS | |||||||||
GSTP1 | S | |||||||||
Shao G | 2000 | 2 | 55 | 53 | 74 (69) | 80 (72) | CYP1A1, IIe-Val | NS | 47 | |
GSTM1 | S | |||||||||
Lee JM | 2000 | 2 | NA | NA | 82 (91) | 228 (89) | GSTP1 | NS | Adjusted by potential factors | 48 |
Tan W | 2000 | 2 | 54.5 | 53.6 | 99 (66) | 99 (66) | CYP2E1, Rsal | S | Adjusted by age, sex and smoking | 49 |
GSTM1 | S | |||||||||
GSTT1 | NS | |||||||||
GSTP1 | NS | |||||||||
Wu M-T | 2002 | 1 | 60.6 | 61.2 | 133 (91) | 298 (92) | CYP1A1, MspI | NS | Adjusted by age, sex, smoking and alcohol, etc. | 50 |
CYP1A1, IIe-Val | S | |||||||||
Gao CM | 2002 | 2 | NA | NA | 55 (59) | 131 (66) | CYP2E1, Rsal | NS | Adjusted by age, sex and potential factors | 51 |
Yokoyama A | 2002 | 2 | 61.7 | 58.8 | 234 (100) | 634 (100) | GSTM1 | NS | 52 | |
Gao CM | 2002 | 2 | NA | NA | 78 (55) | 149 (67) | GSTM1 | S | Adjusted by age and sex | 53 |
GSTT1 | NS | |||||||||
Wang LD | 2003 | 2 | NA | NA | 32 (53) | NA | CYP1A1, MspI | NS | 54 | |
CYP1A1, IIe-Val | NS | |||||||||
GSTM1 | NS | |||||||||
GSTT1 | NS | |||||||||
GSTP1 | NS | |||||||||
Casson AG | 2003 | 2 | NA | NA | 38 (84) | 38 (84) | CYP1A1, MspI | NS | Adjusted by age, sex and smoking | 55 |
CYP1A1, IIe-Val | NS | |||||||||
GSTM1 | NS | |||||||||
GSTT1 | NS | |||||||||
GSTP1 | S | |||||||||
Wang AH | 2004 | 1 | NA | NA | 97 (76) | 78 (77) | CYP1A1, IIe-Val | S | 37 | |
GSTM1 | S |
Table 2 Summary of the meta-analysis of CYP1A1, CYP2E1, GSTP1 and esophageal cancer risk.
Study | Country | Cases | Control | Cases wt/wt | Cases hetero1 | Cases homo1 | Control wt/wt1 | Control hetero1 | Control homo1 | OR1 (95%CI)23 | OR2 (95%CI)23 | OR3 (95%CI)23 |
CYP1A1 Ile-Val: | ||||||||||||
Hori H | Japan | 91 | 428 | 52 | 37 | 2 | 275 | 133 | 20 | 1.47 (0.89-2.41) | 0.53 (0.06-2.29) | 1.35 (0.83-2.19) |
Nimura Y | China | 89 | 137 | 50 | 26 | 13 | 92 | 38 | 7 | 1.26 (0.65-2.41) | 3.42 (1.17-10.72) | 1.59 (0.89-2.87) |
Morita S | Japan | 53 | 132 | 32 | 20 | 1 | 80 | 49 | 3 | 1.02 (0.49-2.08) | 0.83 (0.02-10.84) | 1.0 (0.5-1.9) |
van Lieshout EM | Netherlands | 34 | 247 | 26 | 8 | 0 | 207 | 37 | 3 | 1.72 (0.62-4.30) | 0 (0-10.62) | 1.59 (0.58-3.95) |
Shao G | China | 107 | 111 | 43 | 56 | 8 | 55 | 51 | 5 | 1.40 (0.78-2.53) | 2.05 (0.54-8.49) | 1.46 (0.83-2.59) |
Wu M-T | Taiwan | 146 | 324 | 68 | 62 | 16 | 179 | 127 | 18 | 1.34 (0.86-2.07)4 | 2.48 (1.15-5.34)4 | 1.42 (0.94-2.14) |
Wang LD | China | 62 | 38 | 30 | 28 | 4 | 20 | 16 | 2 | 1.17 (0.47-2.93) | 1.33 (0.17-15.97) | 1.19 (0.49-2.88) |
Casson AG | Canada | 45 | 45 | 45 | 0 | 0 | 45 | 0 | 0 | NA6 | NA6 | NA6 |
Wang AH | China | 127 | 101 | 21 | 56 | 50 | 31 | 48 | 22 | 1.72 (0.83-3.58) | 3.35 (1.49-7.61) | 2.24 (1.14-4.43) |
Meta-analysis results | 754 | 1563 | 367 | 293 | 94 | 984 | 499 | 80 | 1.37 (1.09-1.71) | 2.52 (1.62-3.91) | 1.44 (1.17-1.78) | |
CYP1A1 MspI: | ||||||||||||
Hori H | Japan | 94 | 242 | 33 | 50 | 11 | 106 | 97 | 39 | 1.66 (0.96-2.88) | 0.91 (0.38-2.06) | 1.44 (0.86-2.44) |
van Lieshout EM | Netherlands | 34 | 247 | 22 | 12 | 0 | 207 | 37 | 3 | 3.05 (1.26-7.08) | 0 (0-12.63) | 2.82 (1.17-6.51) |
Wu M-T | Taiwan | 146 | 324 | 60 | 65 | 21 | 136 | 146 | 42 | 0.98 (0.63-1.53)4 | 1.24 (0.65-2.36)4 | 1.04 (0.68-1.57) |
Casson AG | Canada | 45 | 45 | 38 | NA | NA | 33 | NA | NA | NA | NA | 0.6 (0.2-1.8)4 |
Wang LD | China | 62 | 38 | 33 | 25 | 4 | 12 | 22 | 4 | 0.41 (0.16-1.08) | 0.36 (0.06-2.33) | 0.41 (0.16-1.02) |
Meta-analysis results | 381 | 896 | 186 | 152 | 36 | 494 | 302 | 88 | 1.21 (0.64-2.32) | 1.02 (0.62-1.68) | 1.07 (0.64-1.80) | |
CYP2E1: | ||||||||||||
Hori H | Japan | 79 | 633 | 49 | 24 | 6 | 412 | 202 | 19 | 1.00 (0.57-1.72) | 2.66 (0.83-7.33) | 1.14 (0.68-1.89) |
Morita S | Japan | 53 | 132 | 34 | 18 | 1 | 85 | 42 | 5 | 1.07 (0.51-2.22) | 0.50 (0.01-4.72) | 1.0 (0.5-2.0) |
Lin DX | China | 45 | 45 | 36 | 6 | 3 | 20 | 22 | 3 | 0.15 (0.04-0.48) | 0.56 (0.07-4.59) | 0.21 (0.08-0.56)4,5 |
Tan W | China | 150 | 150 | 107 | 31 | 12 | 66 | 77 | 7 | 0.25 (0.14-0.43) | 1.06 (0.36-3.34) | 0.31 (0.24-0.40)4,5 |
Gao CM | China | 93 | 196 | 55 | 31 | 7 | 121 | 62 | 13 | 1.13 (0.60-2.13)4 | 1.23 (0.40-3.77)4 | 1.15 (0.64-2.07)4 |
Meta-analysis results | 420 | 1156 | 281 | 110 | 29 | 704 | 405 | 47 | 0.59 (0.28-1.23) | 1.33 (0.72-2.44) | 0.63 (0.30-1.30) | |
GSTP1: | ||||||||||||
Morita S | Japan | 66 | 164 | 61 | 5 | 0 | 113 | 48 | 3 | 0.19 (0.07-0.52) | 0 (0-4.6) | 0.13 (0.04-0.45)5 |
Lin DX | China | 42 | 36 | 29 | 12 | 1 | 22 | 11 | 3 | 0.83 (0.28-2.51) | 0.25 (0.005-3.48) | 0.7 (0.3-1.8) |
van Lieshout EM | Netherlands | 34 | 247 | 10 | 21 | 3 | 146 | 89 | 12 | 3.44 (1.47-8.55) | 3.65 (0.56-16.82) | 3.47 (1.51-8.46) |
Lee JM | Taiwan | 90 | 254 | 65 | NA | NA | 160 | NA | NA | NA6 | NA6 | 0.65 (0.39-1.11)4,5 |
Tan W | China | 150 | 150 | 93 | 48 | 9 | 91 | 53 | 6 | 0.89 (0.53-1.48) | 0.95 (0.58-1.55) | 1.0 (0.8-1.3) |
Wang LD | China | 62 | 38 | 29 | 30 | 3 | 24 | 13 | 1 | 1.91 (0.76-4.89) | 2.48 (0.18-135.66) | 1.95 (0.79-4.87)4 |
Casson AG | Canada | 45 | 45 | 19 | 22 | 4 | 26 | 12 | 7 | 2.5 (1.0-6.3) | 0.8 (0.2-3.1) | 1.8 (0.8-4.3)4 |
Meta-analysis results | 489 | 934 | 306 | 138 | 20 | 582 | 226 | 32 | 1.17 (0.55-2.49) | 1.02 (0.65-1.58) | 1.01 (0.60-1.70) |
Table 3 Summary of the meta-analysis of GSTM1, GSTTI and esophageal cancer risk.
Study | Country | Cases | Controls | Case | Case | Control | Control | OR (95%CI) |
GSTM1: | Non-null | Null | Non-null | Null | ||||
Hori H | Japan | 94 | 428 | 53 | 41 | 232 | 196 | 0.92 (0.57-1.47) |
Nimura Y | China | 89 | 137 | 42 | 47 | 74 | 63 | 1.31 (0.74-2.32) |
Morita S | Japan | 53 | 132 | 30 | 23 | 77 | 55 | 1.1 (0.6-2.0) |
Lin DX | China | 45 | 45 | 25 | 20 | 24 | 21 | 1.0 (0.4-2.3)3 |
van Lieshout EM | Netherlands | 34 | 247 | 17 | 17 | 119 | 128 | 0.93 (0.42-2.04) |
Shao G | China | 107 | 111 | 68 | 39 | 56 | 55 | 1.76 (1.03-2.74) |
Tan W | China | 150 | 150 | 104 | 46 | 74 | 76 | 0.43 (0.33-0.56)34 |
Yokoyama A | Japan | 234 | 634 | 131 | 103 | 313 | 321 | 0.77 (0.56-1.05) |
Gao CM | China | 141 | 223 | 35 | 106 | 90 | 133 | 2.17 (1.35-3.50)3 |
Wang LD | China | 62 | 38 | 35 | 27 | 19 | 19 | 0.77 (0.32-1.88) |
Casson AG | Canada | 45 | 45 | 19 | 26 | 20 | 25 | 1.1 (0.5-2.7)3 |
Wang AH | China | 127 | 101 | 53 | 74 | 57 | 44 | 1.81 (1.03-3.18) |
Meta-analysis | results | 1181 | 2291 | 612 | 569 | 1155 | 1136 | 1.07 (0.76-1.51) |
GSTT1: | ||||||||
Lin DX | China | 45 | 45 | 26 | 19 | 22 | 23 | 0.7 (0.3-1.5)3 |
van Lieshout EM | Netherlands | 34 | 247 | 28 | 6 | 198 | 49 | 0.87 (0.28-2.29) |
Tan W | China | 150 | 150 | 90 | 60 | 91 | 59 | 1.11 (0.83-1.43)34 |
Gao CM | China | 141 | 223 | 67 | 74 | 104 | 119 | 0.90 (0.59-1.39)3 |
Wang LD | China | 62 | 38 | 28 | 34 | 18 | 20 | 1.09 (0.45-2.65) |
Casson AG | Canada | 45 | 45 | 37 | 8 | 33 | 12 | 0.6 (0.2-1.7)3 |
Meta-analysis results | 477 | 748 | 276 | 201 | 466 | 282 | 0.99 (0.80-1.22) |
Table 4 Results of meta-regression analysis and Egger’s test for publication bias.
Number of studies | Egger’s test Forpublicationbias1 P | Results of meta-regression test | |||||
Asian Yes/no Coefficient3 | Chinese Yes/no Coefficient3 | Publication Year Coefficient3 | Design 1 or 22 Coefficient3 | Matching Yes/no Coefficient3 | |||
CYP1A1 Ile-Val | 8 | 0.96 | -0.1 | 0.19 | 0.11 | -0.2 | -0.22 |
CYP1A1 MspI | 5 | 0.96 | -0.42 | -0.67 | -0.9 | 0.01 | -0.01 |
CYP2E RsaI | 5 | 0.32 | 1 | -0.89 | 0.76 | 1.3 | -0.13 |
GSTM1 | 12 | 0.04 | 0.06 | 0.21 | 0.25 | -0.34 | -0.16 |
GSTT1 | 6 | 0.11 | 0.34 | 0.34 | -0.16 | 0.37 | 0.16 |
GSTP1 | 7 | 0.99 | -1.254 | -0.07 | 0.88 | 0.4 | 0.02 |
- Citation: Yang CX, Matsuo K, Wang ZM, Tajima K. Phase I/II enzyme gene polymorphisms and esophageal cancer risk: A meta-analysis of the literature. World J Gastroenterol 2005; 11(17): 2531-2538
- URL: https://www.wjgnet.com/1007-9327/full/v11/i17/2531.htm
- DOI: https://dx.doi.org/10.3748/wjg.v11.i17.2531