Esophageal Cancer
Copyright ©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
Table 1 Summary of studies included in the analysis of CYP1A1, CYP2E1, GASTM1, GSTT1 and GSTP1.
StudyYrStudy designCases Mean ageControls Mean ageCases Man (%)Controls Man (%)PolymorphismsResultAdjusted factorsReference
Hori H19972NANA78 (83)NACYP1A1, MspINS42
CYP1A1, IIe-ValNS
GSTM1NS
CYP2E1, RsalNS
Nimura Y19971NANA67 (75)76 (55)CYP1A1, IIe-ValS43
GSTM1NS
Morita S1997262.250.545 (85)112 (85)CYP1A1, IIe-ValNS44
CYP2E1, RsalNS
GSTM1NS
Morita S1998262.149.856 (85)102 (62)GSTP1S45
Lin DX1998NA55.553.327 (60)23 (50)CYP2E1, RsalSAdjusted by age and sex36
CYP2E1,DralNS
GSTM1NS
GSTT1NS
GSTP1NS
Van Lieshout EM19992NA5227 (79)98 (40)CYP1A1, MspIS46
CYP1A1, IIe-ValNS
GSTM1NS
GSTT1NS
GSTP1S
Shao G20002555374 (69)80 (72)CYP1A1, IIe-ValNS47
GSTM1S
Lee JM20002NANA82 (91)228 (89)GSTP1NSAdjusted by potential factors48
Tan W2000254.553.699 (66)99 (66)CYP2E1, RsalSAdjusted by age, sex and smoking49
GSTM1S
GSTT1NS
GSTP1NS
Wu M-T2002160.661.2133 (91)298 (92)CYP1A1, MspINSAdjusted by age, sex, smoking and alcohol, etc.50
CYP1A1, IIe-ValS
Gao CM20022NANA55 (59)131 (66)CYP2E1, RsalNSAdjusted by age, sex and potential factors51
Yokoyama A2002261.758.8234 (100)634 (100)GSTM1NS52
Gao CM20022NANA78 (55)149 (67)GSTM1SAdjusted by age and sex53
GSTT1NS
Wang LD20032NANA32 (53)NACYP1A1, MspINS54
CYP1A1, IIe-ValNS
GSTM1NS
GSTT1NS
GSTP1NS
Casson AG20032NANA38 (84)38 (84)CYP1A1, MspINSAdjusted by age, sex and smoking55
CYP1A1, IIe-ValNS
GSTM1NS
GSTT1NS
GSTP1S
Wang AH20041NANA97 (76)78 (77)CYP1A1, IIe-ValS37
GSTM1S
Table 2 Summary of the meta-analysis of CYP1A1, CYP2E1, GSTP1 and esophageal cancer risk.
StudyCountryCasesControlCases wt/wtCases hetero1Cases homo1Control wt/wt1Control hetero1Control homo1OR1 (95%CI)23OR2 (95%CI)23OR3 (95%CI)23
CYP1A1 Ile-Val:
Hori HJapan9142852372275133201.47 (0.89-2.41)0.53 (0.06-2.29)1.35 (0.83-2.19)
Nimura YChina89137502613923871.26 (0.65-2.41)3.42 (1.17-10.72)1.59 (0.89-2.87)
Morita SJapan5313232201804931.02 (0.49-2.08)0.83 (0.02-10.84)1.0 (0.5-1.9)
van Lieshout EMNetherlands3424726802073731.72 (0.62-4.30)0 (0-10.62)1.59 (0.58-3.95)
Shao GChina10711143568555151.40 (0.78-2.53)2.05 (0.54-8.49)1.46 (0.83-2.59)
Wu M-TTaiwan146324686216179127181.34 (0.86-2.07)42.48 (1.15-5.34)41.42 (0.94-2.14)
Wang LDChina623830284201621.17 (0.47-2.93)1.33 (0.17-15.97)1.19 (0.49-2.88)
Casson AGCanada454545004500NA6NA6NA6
Wang AHChina1271012156503148221.72 (0.83-3.58)3.35 (1.49-7.61)2.24 (1.14-4.43)
Meta-analysis results754156336729394984499801.37 (1.09-1.71)2.52 (1.62-3.91)1.44 (1.17-1.78)
CYP1A1 MspI:
Hori HJapan9424233501110697391.66 (0.96-2.88)0.91 (0.38-2.06)1.44 (0.86-2.44)
van Lieshout EMNetherlands34247221202073733.05 (1.26-7.08)0 (0-12.63)2.82 (1.17-6.51)
Wu M-TTaiwan146324606521136146420.98 (0.63-1.53)41.24 (0.65-2.36)41.04 (0.68-1.57)
Casson AGCanada454538NANA33NANANANA0.6 (0.2-1.8)4
Wang LDChina623833254122240.41 (0.16-1.08)0.36 (0.06-2.33)0.41 (0.16-1.02)
Meta-analysis results38189618615236494302881.21 (0.64-2.32)1.02 (0.62-1.68)1.07 (0.64-1.80)
CYP2E1:
Hori HJapan7963349246412202191.00 (0.57-1.72)2.66 (0.83-7.33)1.14 (0.68-1.89)
Morita SJapan5313234181854251.07 (0.51-2.22)0.50 (0.01-4.72)1.0 (0.5-2.0)
Lin DXChina45453663202230.15 (0.04-0.48)0.56 (0.07-4.59)0.21 (0.08-0.56)4,5
Tan WChina1501501073112667770.25 (0.14-0.43)1.06 (0.36-3.34)0.31 (0.24-0.40)4,5
Gao CMChina931965531712162131.13 (0.60-2.13)41.23 (0.40-3.77)41.15 (0.64-2.07)4
Meta-analysis results420115628111029704405470.59 (0.28-1.23)1.33 (0.72-2.44)0.63 (0.30-1.30)
GSTP1:
Morita SJapan6616461501134830.19 (0.07-0.52)0 (0-4.6)0.13 (0.04-0.45)5
Lin DXChina423629121221130.83 (0.28-2.51)0.25 (0.005-3.48)0.7 (0.3-1.8)
van Lieshout EMNetherlands342471021314689123.44 (1.47-8.55)3.65 (0.56-16.82)3.47 (1.51-8.46)
Lee JMTaiwan9025465NANA160NANANA6NA60.65 (0.39-1.11)4,5
Tan WChina15015093489915360.89 (0.53-1.48)0.95 (0.58-1.55)1.0 (0.8-1.3)
Wang LDChina623829303241311.91 (0.76-4.89)2.48 (0.18-135.66)1.95 (0.79-4.87)4
Casson AGCanada454519224261272.5 (1.0-6.3)0.8 (0.2-3.1)1.8 (0.8-4.3)4
Meta-analysis results48993430613820582226321.17 (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.
StudyCountryCasesControlsCaseCaseControlControlOR (95%CI)
GSTM1:Non-nullNullNon-nullNull
Hori HJapan9442853412321960.92 (0.57-1.47)
Nimura YChina89137424774631.31 (0.74-2.32)
Morita SJapan53132302377551.1 (0.6-2.0)
Lin DXChina4545252024211.0 (0.4-2.3)3
van Lieshout EMNetherlands3424717171191280.93 (0.42-2.04)
Shao GChina107111683956551.76 (1.03-2.74)
Tan WChina1501501044674760.43 (0.33-0.56)34
Yokoyama AJapan2346341311033133210.77 (0.56-1.05)
Gao CMChina14122335106901332.17 (1.35-3.50)3
Wang LDChina6238352719190.77 (0.32-1.88)
Casson AGCanada4545192620251.1 (0.5-2.7)3
Wang AHChina127101537457441.81 (1.03-3.18)
Meta-analysisresults11812291612569115511361.07 (0.76-1.51)
GSTT1:
Lin DXChina4545261922230.7 (0.3-1.5)3
van Lieshout EMNetherlands34247286198490.87 (0.28-2.29)
Tan WChina150150906091591.11 (0.83-1.43)34
Gao CMChina14122367741041190.90 (0.59-1.39)3
Wang LDChina6238283418201.09 (0.45-2.65)
Casson AGCanada454537833120.6 (0.2-1.7)3
Meta-analysis results4777482762014662820.99 (0.80-1.22)
Table 4 Results of meta-regression analysis and Egger’s test for publication bias.
Number of studiesEgger’s test Forpublicationbias1 PResults of meta-regression test
Asian Yes/no Coefficient3Chinese Yes/no Coefficient3Publication Year Coefficient3Design 1 or 22 Coefficient3Matching Yes/no Coefficient3
CYP1A1 Ile-Val80.96-0.10.190.11-0.2-0.22
CYP1A1 MspI50.96-0.42-0.67-0.90.01-0.01
CYP2E RsaI50.321-0.890.761.3-0.13
GSTM1120.040.060.210.25-0.34-0.16
GSTT160.110.340.34-0.160.370.16
GSTP170.99-1.254-0.070.880.40.02