Objective: Association of multiple polymorphic variants with cervical cancer has been elucidated by several candidate gene based as well as genome-wide association studies. However, contradictory outcomes of those studies have failed to estimate the true effect of the polymorphic variants on cervical cancer. Methods: Literature mining of the PubMed database was done to gather all the publications related to genetic association with cervical cancer in India. Out of 98 PubMed hits only 29 genetic association studies were selected for meta-analysis based on specific inclusion criteria. A fixed-effect meta-analysis was performed to evaluate the overall association of the genetic polymorphisms with cervical cancer. Cochran’s Q test was performed to assess between study heterogeneity. Publication bias was also estimated by funnel plots and Egger’s regression test. Further, sub-group analysis was conducted by fixed-effect meta-regression to assess the impact of polymorphisms on cervical cancer in the presence of Human Papilloma Virus (HPV). Result: Following a fixed-effect model, meta-analysis was conducted that revealed 2 polymorphic variants viz. ‘deletion polymorphism (Del2) (OR=1.79, 95% CI= 1.08-2.95, P=0.023) in GSTM1’ and ‘rs1048943 (OR = 2.34, 95% CI=1.37-3.99, P=0.0018) in CYP1A1’ to be associated with cervical cancer. However, multiple testing correction showed only rs1048943 of CYP1A1 to be significantly associated (P-value=0.029) with cervical cancer with significant publication bias (P-value=0.0113) as estimated by Egger’s regression test. The polymorphic variants ‘rs1801131’, ‘rs1801133’, ‘rs2430561’, ‘rs1799782’, ‘rs25486’ and ‘rs25487’ showed significant (p<0.05) evidence of heterogeneity between studies by Cochran’s Q test and also by heterogeneity index (I2) calculation. Conclusion: Therefore, our study revealed significant association of rs1048943 in CYP1A1, but a nominal association of deletion polymorphism (Del2) in GSTM1 with cervical cancer, which provides a comprehensive insight on the true effect of the polymorphisms, reported in various case-control studies, on the risk of the development of cervical cancer in Indian women.
Sengupta, D., Guha, U., Mitra, S., Ghosh, S., Bhattacharjee, S., & Sengupta, M. (2018). Meta-Analysis of Polymorphic Variants Conferring Genetic Risk to Cervical Cancer in Indian Women Supports CYP1A1 as an Important Associated Locus. Asian Pacific Journal of Cancer Prevention, 19(8), 2071-2081. doi: 10.22034/APJCP.2018.19.8.2071
MLA
Debmalya Sengupta; Udayan Guha; Sagnik Mitra; Sampurna Ghosh; Samsiddhi Bhattacharjee; Mainak Sengupta. "Meta-Analysis of Polymorphic Variants Conferring Genetic Risk to Cervical Cancer in Indian Women Supports CYP1A1 as an Important Associated Locus". Asian Pacific Journal of Cancer Prevention, 19, 8, 2018, 2071-2081. doi: 10.22034/APJCP.2018.19.8.2071
HARVARD
Sengupta, D., Guha, U., Mitra, S., Ghosh, S., Bhattacharjee, S., Sengupta, M. (2018). 'Meta-Analysis of Polymorphic Variants Conferring Genetic Risk to Cervical Cancer in Indian Women Supports CYP1A1 as an Important Associated Locus', Asian Pacific Journal of Cancer Prevention, 19(8), pp. 2071-2081. doi: 10.22034/APJCP.2018.19.8.2071
VANCOUVER
Sengupta, D., Guha, U., Mitra, S., Ghosh, S., Bhattacharjee, S., Sengupta, M. Meta-Analysis of Polymorphic Variants Conferring Genetic Risk to Cervical Cancer in Indian Women Supports CYP1A1 as an Important Associated Locus. Asian Pacific Journal of Cancer Prevention, 2018; 19(8): 2071-2081. doi: 10.22034/APJCP.2018.19.8.2071
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