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Blood Res (2024) 59:9

Published online March 4, 2024

https://doi.org/10.1007/s44313-024-00007-9

© The Korean Society of Hematology

Impact of CYP1A1 variants on the risk of acute lymphoblastic leukemia: evidence from an updated meta-analysis

Imen Frikha1,2, Rim Frikha1,3*, Moez Medhaffer1,2, Hanen Charfi1,2, Fatma Turki1,3 and Moez Elloumi1,2

1Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
2Department of Hematology, Hedi Chaker Hospital, Sfax, Tunisia
3Department of Medical Genetics, Hedi Chaker Hospital, Sfax, Tunisia

Correspondence to : *Rim Frikha
frikha_rim@yahoo.fr

Received: August 9, 2023; Accepted: January 24, 2024

Abstract

Objective Our study aimed to investigate the association between cytochrome P450 1A1 (CYP1A1) polymorphisms (T3801C and A2455G) and acute lymphoblastic leukemia (ALL) risk, considering genetic models and ethnicity.
Materials and methods PubMed, Embase, Web of Knowledge, Scopus, and the Cochrane electronic databases were searched using combinations of keywords related to CYP1A1 polymorphisms and the risk of ALL. Studies retrieved from the database searches underwent screening based on strict inclusion and exclusion criteria.
Results In total, 2822 cases and 4252 controls, as well as 1636 cases and 2674 controls of the C3801T and A2455G variants of CYP1A1, respectively, were included in this meta-analysis. The T3801C polymorphism of CYP1A1 significantly increases the risk of ALL, particularly those observed in Asian and Hispanic populations, independent of age. Similarly, the A2455G polymorphism of CYP1A1 plays a significant role in the susceptibility to ALL in all genetic models, except the heterozygous form. This association was observed mainly in mixed populations and in both children and adults (except in the heterozygous model).
Conclusion Our comprehensive analysis indicates that the T3801 and A2455G polymorphisms of CYP1A1 may increase the risk of ALL depending on ethnicity. Therefore, both variants should be considered promising biomarkers for ALL risk. Further large-scale investigations are necessary to assess other factors, such as gene-gene or gene-environment interactions.

Keywords Cytochrome, Acute lymphoblastic leukemia, Risk, Meta-analysis

Article

RESEARCH

Blood Res 2024; 59():

Published online March 4, 2024 https://doi.org/10.1007/s44313-024-00007-9

Copyright © The Korean Society of Hematology.

Impact of CYP1A1 variants on the risk of acute lymphoblastic leukemia: evidence from an updated meta-analysis

Imen Frikha1,2, Rim Frikha1,3*, Moez Medhaffer1,2, Hanen Charfi1,2, Fatma Turki1,3 and Moez Elloumi1,2

1Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
2Department of Hematology, Hedi Chaker Hospital, Sfax, Tunisia
3Department of Medical Genetics, Hedi Chaker Hospital, Sfax, Tunisia

Correspondence to:*Rim Frikha
frikha_rim@yahoo.fr

Received: August 9, 2023; Accepted: January 24, 2024

Abstract

Objective Our study aimed to investigate the association between cytochrome P450 1A1 (CYP1A1) polymorphisms (T3801C and A2455G) and acute lymphoblastic leukemia (ALL) risk, considering genetic models and ethnicity.
Materials and methods PubMed, Embase, Web of Knowledge, Scopus, and the Cochrane electronic databases were searched using combinations of keywords related to CYP1A1 polymorphisms and the risk of ALL. Studies retrieved from the database searches underwent screening based on strict inclusion and exclusion criteria.
Results In total, 2822 cases and 4252 controls, as well as 1636 cases and 2674 controls of the C3801T and A2455G variants of CYP1A1, respectively, were included in this meta-analysis. The T3801C polymorphism of CYP1A1 significantly increases the risk of ALL, particularly those observed in Asian and Hispanic populations, independent of age. Similarly, the A2455G polymorphism of CYP1A1 plays a significant role in the susceptibility to ALL in all genetic models, except the heterozygous form. This association was observed mainly in mixed populations and in both children and adults (except in the heterozygous model).
Conclusion Our comprehensive analysis indicates that the T3801 and A2455G polymorphisms of CYP1A1 may increase the risk of ALL depending on ethnicity. Therefore, both variants should be considered promising biomarkers for ALL risk. Further large-scale investigations are necessary to assess other factors, such as gene-gene or gene-environment interactions.

Keywords: Cytochrome, Acute lymphoblastic leukemia, Risk, Meta-analysis

Fig 1.

Figure 1.Flow diagram for article identification and exclusion

Fig 2.

Figure 2.Forest plot of C3801T Polymorphism and ALL Risk under Different Models (A-E)

Fig 3.

Figure 3.Forest plot of A2455G Polymorphism and ALL Risk under Different Models (A-E)

Table 1 . Characteristics of included studies.

First authorYear of publicationEthnicity (Country)Polymorphism StudyAge groupNumber
CasesControls
Krajinovic [18]1999Caucasian (Canada)T3801C, A2455GChild517893
Gao [19]2003Asian (China)T3801C, A2455GChild156225
Balta [20]2003Mixed (Turky)T3801CChild105145
Joseph [21]2004Asian (India)T3801C, A2455GChild236236
Canalle [22]2004Mixed (Brazil)T3801CChild113221
Gallegos-Arreole [23]2004Mixed (Mexican)A2455GAdult136136
Selvin [24]2004Mixed (California)A2455GChild175175
Clavel [25]2005Mixed (France)T3801CChild190105
Liu QX [26]2005Asian (China)T3801CAdult112179
Pakakasama [27]2005Asian (Thailand)T3801CChild91320
Aydin-Sayitoglu [28]2006Caucasian (Turky)T3801CAdult36140
Aydin-Sayitoglu [28]2006Caucasian (Turky)T3801CChild119140
Bolufer [13]2007Caucasian (Spain)T3801CMixt92403
Gallegos-Arreola [29]2008Hispanic (Mexican)T3801CAdult210228
Chen [30]2008Asian (China)T3801CMixt120204
Lee [31]2009Asian (Korea)T3801C, A2455GChild207321
Yamaguti [14]2010Caucasian (Brazil)T3801C, A2455GMixt198198
Swinney [32]2011Hispanic (USA)T3801C, A2455GChild302814
Swinney [32]2011Caucasian (USA)A2455GChild171437
Swinney [32]2011Caucasian (USA)A2455GChild71204
Suneetha [33]2011Asian (India)T3801CChild91150
Razmkhah [34]2011Mixed (Iran)A2455GChild8594
Bonaventure [35]2012Caucasian (France)T3801CChild430548
Agha [36]2013African (Egypt)T3801C, A2455GChild558600
Ouerhani [37]2013African (Tunisia)T3801CMixt100106
Nida [11]2017Asian (India)T3801CChild200200

Table 2 . Results of meta-analysis for the CYP1A1 gene T3801C polymorphisms in ALL according to the ethnicity.

ModelEthnicityNumber of studiesTest of associationTest of heterogeneityPublication bias
OR95% CIp-valModelp-valI2p-val (Egger’s test)
Allelecontrast
(C vs. T)
Overall211,31[1.08; 1.58]0,00*Random0,00*75,46%0,21
Asian81,36[1.07; 1.71]0,00*Random0,00*64,87%0,07
African21,48[0.92; 2.37]0,10Fixed0,1649,35%NA
Caucasian61,10[0.91; 1.33]0,31Fixed0,1438,9%0,47
Hispanic22,22[0.91; 5.43]0,07Random0,00*91,94%NA
Mixed31,05[0.80; 1.38]0,68Fixed0,660%0,13
Recessive model
(CC vs. CT+TT)
Overall211,36[0.86; 2.16]0,18Random0,00*72,21%0,68
Asian81,01[0.78; 1.31]0,92Fixed0,1633,11%0,07
African22,21[0.47; 10.44]0,31Fixed0,500%NA
Caucasian60,63[0.30; 1.33]0,23Fixed0,940%0,51
Hispanic24,91[1.61; 14.93]0,00*Random0,01*82,35%NA
Mixed31,44[0.18; 11.56]0,72Random0,0566,3%0,77
Dominant model
(CC+CT vs. TT)
Overall211,40[1.17; 1.68]0,00*Random0,00*56,88%0,56
Asian81,67[1.30; 2.15]6,14E-05*Random0,0942,96%0,44
African21,43[0.86; 2.37]0,16Fixed0,1841,92%NA
Caucasian61,17[0.95; 1.44]0,12Fixed0,1045,29%0,66
Hispanic21,80[0.71; 4.59]0,21Random0,01*84,68%NA
Mixed31,02[0.75; 1.39]0,85Fixed0,630%0,59
Homozygous
(CC vs.TT)
Overall211,59[0.99; 2.53]0,05Random0,00*68,49%0,47
Asian81,41[0.92; 2.15]0,10Random0,0647,23%0,11
African22,27[0.48; 10.72]0,29Fixed0,470%NA
Caucasian60,67[0.32; 1.41]0,29Fixed0,960%0,42
Hispanic25,02[1.26; 20.00]0,02*Random0,00*86,21%NA
Mixed31,46[0.19; 10.86]0,70Random0,0663,5%0,77
Heterozygous
(CT vs. TT)
Overall211,38[1.17; 1.64]0,00*Random0,01*44,66%0,55
Asian81,83[1.48; 2.25]1,16E-08*Fixed0,2917,31%0,25
African21,34[0.79; 2.27]0,26Fixed0,2327,98%NA
Caucasian61,22[0.89; 1.68]0,20Random0,0947,18%0,83
Hispanic21,18[0.81; 1.71]0,37Fixed0,1843,82%NA
Mixed31[0.73; 1.37]0,99Fixed0,3405,98%0,93

NA Not available, OR Odds ratio.

*significance (p < 0.05).


Table 3 . Results of meta-analysis for the CYP1A1 gene T3801C polymorphisms in ALL according to the Age.

ModelAgeNumber of studiesTest of associationTest of heterogeneityPublication bias
OR95% CIp-valModelp-valI2p-val (Egger’s test)
Allelecontrast
(C vsT)
Overall211,31[1.08; 1.58]0,00*Random0,00*75,46%0,21
Child141,27[1.08; 1.49]0,00*Random0,02*48,67%0,20
Mixt41,14[0.76; 1.72]0,51Random0,0560,27%0,95
Adult31,57[0.67; 3.68]0,29Random0,00*92,11%0,50
Recessive model
(CC vs CT+TT)
Overall211,36[0.86; 2.16]0,18Random0,00*72,21%0,68
Child141,26[0.81; 1.96]0,29Random0,03*46,09%0,57
Mixt41,03[0.63; 1.69]0,88Fixed0,5100,93
Adult31,88[0.28; 12.56]0,51Random0,00*93,74%0,85
Dominant model
(CC+CT vs TT)
Overall211,40[1.17; 1.68]0,00*Random0,00*56,88%0,56
Child141,35[1.12; 1.62]0,00*Random0,0640,07%0,36
Mixt41,25[0.76; 2.05]0,37Random0,0561,45%0,99
Adult31,85[1.00; 3.41]0,04Random0,03*71,08%0,00
Homozygous
(CC vs TT)
Overall211,59[0.99; 2.53]0,05Random0,00*68,49%0,47
Child141,41[0.90; 2.20]0,12Random0,04*42,59%0,51
Mixt41,31[0.75; 2.28]0,33Fixed0,4400,91
Adult32,56[0.48; 13.57]0,26Random0,00*89,84%0,72
Heterozygous
(CT vs TT)
Overall211,38[1.17; 1.64]0,00*Random0,01*44,66%0,55
Child141,38[1.12; 1.69]0,00*Random0,03*45,18%0,28
Mixt41,27[0.78; 2.07]0,32Random0,0757,24%0,97
Adult31,59[1.14; 2.21]0,00*Fixed0,1154,17%0,74

NA Not available, OR Odds ratio.

*significance (p < 0.05).


Table 4 . Results of meta-analysis for the CYP1A1 gene A2455G polymorphisms and ALL risk according to the ethnicity.

ModelEthnicityNumber of studiesTest of associationTest of HeterogeneityPublication bias
OR95% CIp-valModelp-valI2p-val (Egger’s test)
Allelecontrast
(G vs. A)
Overall121,25[1.09; 1.42]0,00*Fixed0,1430,92%0,76
Caucasian51,21[0.95; 1.54]0,11Fixed0,810,00%0,39
Asian31,36[0.80; 2.31]0,25Random0,01*76,95%0,11
Mixed41,26[1.03; 1.53]0,02*Fixed0,1346,28%0,69
Recessive model
(GG vs GA+AA)
Overall111,94[1.39; 2.71]0,00*Fixed0,790,00%0,58
Caucasian52,03[1.08; 3.83]0,02*Fixed0,780,00%0,76
Asian31,51[0.81; 2.78]0,18Fixed0,3210,13%0,45
Mixed32,25[1.35; 3.73]0,00*Fixed0,520,00%0,46
Dominant model
(GG+GA vs AA)
Overall121,19[1.01; 1.39]0,03Fixed0,1925,08%0,77
Caucasian51,13[0.85; 1.50]0,37Fixed0,720,00%0,54
Asian31,39[0.75; 2.58]0,28Random0,02*71,87%0,46
Mixed41,15[0.91; 1.46]0,23Fixed0,1838,39%0,94
Homozygous
(GG vs AA)
Overall112,02[1.43; 2.85]0,00*Fixed0,690,00%0,65
Caucasian51,92[0.99; 3.70]0,05Fixed0,860,00%0,94
Asian31,67[0.88; 3.17]0,11Fixed0,2233,47%0,46
Mixed32,37[1.41; 3.97]0,00*Fixed0,3211,46%0,60
Heterozygous
(GA vs AA)
Overall121,09[0.92; 1.29]0,3Fixed0,3113,5%0,54
Caucasian51,05[0.78; 1.42]0,72Fixed0,510,00%0,64
Asian31,31[0.75; 2.27]0,33Random0,0761,24%0,35
Mixed41,03[0.80; 1.32]0,79Fixed0,3311,26%0,77

NA Not available, OR Odds ratio.

*significance (p < 0.05).


Table 5 . Results of meta-analysis for the CYP1A1 gene A2455G polymorphisms and ALL risk according to the age.

ModelAgeNumber of studiesTest of associationTest of heterogeneityPublication bias
OR95% CIp-valModelp-valI2p-val (Egger’s test)
Allelecontrast
(G vs A)
Overall121,25[1.09; 1.42]0,00*Fixed0,1430,920,76
Child101,18[1.02; 1.37]0,02*Fixed0,2124,870,93
Adult11,75[1.22; 2.51]0,00*FixedNANANA
Mixt11,25[0.76; 2.06]0,37FixedNANANA
Recessive model
(GG vs GA+AA)
Overall111,94[1.39; 2.71]0,00*Fixed0,7900,58
Child91,84[1.27; 2.67]0,00*Fixed0,8200,90
Adult13,08[1.32; 7.20]0,00*FixedNANANA
Mixt11[0.19; 5.07]1FixedNAANA
Dominant model
(GG+GA vs AA)
Overall121,19[1.01; 1.39]0,03*Fixed0,1925,080,77
Child101,11[0.93; 1.32]0,23Fixed0,2817,40,65
Adult11,82[1.12; 2.97]0,01*FixedNANANA
Mixt11,36[0.75; 2.43]0,30FixedNANANA
Homozygous
(GG vs AA)
Overall112,02[1.43; 2.85]0,00*Fixed0,6900,65
Child91,85[1.26; 2.71]0,00*Fixed0,8000,97
Adult13,87[1.59; 9.41]0,00*FixedNANANA
Mixt11,11[0.21; 5.74]0,89FixedNANANA
Heterozygous
(GA vs AA)
Overall121,09[0.92; 1.29]0,30Fixed0,3113,50,54
Child101,01[0.84; 1.22]0,84Fixed0,377,550,42
Adult11,55[0.93; 2.57]0,09FixedNANANA
Mixt11,38[0.76; 2.52]0,28FixedNANANA

NA Not available, OR Odds ratio.

*significance (p < 0.05).


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