RESUMO
OBJECTIVES: The role of caveolin-1 (CAV1)(G>A, rs3807987) polymorphism is still dubious in cancer causation in Taiwanese population. The present study is an effort to assess the above relation for precise conclusion. METHODS: EMBASE and PubMed (MEDLINE) databases were explored for the pertinent case-control studies reporting the connection of CAV1 G14713A polymorphism to the vulnerability to cancer. A cumulative analysis using meta-analytic approach was accomplished and pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated for all the polymorphs. RESULTS: Overall, 2549 subjects and 3161 controls were analyzed from six selected studies. Our study showed no confirmation of noteworthy risk between CAV1 G14713A polymorphism and susceptibility to cancer in any of the polymorph, for instance, allele (A vs. G: P = 0.165; OR = 1.252, 95% CI = 0.911-1.721), homozygous (AA vs. GG: P = 0.252; OR = 1.328, 95% CI = 0.817-2.157), heterozygous (AG vs. GG: P = 0.091; OR = 1.356, 95% CI = 0.952-1.930), dominant (AA vs. GG + AG: P = 0.345; OR = 1.191, 95% CI = 0.829-1.709), and recessive (AA + AG vs. GG: P = 0.125; OR = 1.344, 95% CI = 0.921-1.961). CONCLUSIONS: We conclude that CAV1 G14713A polymorphism does not contribute as an independent predisposing risk factor for developing cancer in Taiwanese population.
RESUMO
OBJECTIVE: To summarize the precise association between pulmonary tuberculosis (PTB) and P2x7 A1513C gene polymorphism. METHODS: PubMed and Google Scholar web-databases were searched for the studies reporting the association of P2x7 A1513C polymorphism and PTB risk. A meta-analysis was performed for the selected case-control studies and pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated for all the genetic models. RESULTS: Eleven studies comprising 2678 controls and 2113 PTB cases were included in this meta-analysis. We observed overall no significant risk in all the five genetic models. When stratified population by the ethnicity, Caucasian population failed to show any risk of PTB in all the genetics models. In Asian ethnicity, variant allele (C vs. A: P = 0.001; OR = 1.375, 95% CI = 1.159-1.632) and heterozygous genotype (AC vs. AA: P = 0.001; OR = 1.570, 95% CI = 1.269-1.944) demonstrated significant increased risk of PTB. Likewise, recessive genetic model (CC + AC vs. AA: P = 0.001; OR = 1.540, 95% CI = 1.255-1.890) also demonstrated increased risk of PTB in Asians. CONCLUSIONS: Our meta-analysis did not suggest the association of P2x7 A1513C polymorphism with PTB risk in overall or separately in Caucasian population. However, it plays a significant risk factor for predisposing PTB in Asians. Future larger sample and expression studies are needed to validate this association.
RESUMO
BACKGROUND: DNA methyltransferase-3B (DNMT3B) plays a key role in establishment and maintenance of genomic methylation patterns. Polymorphism in promoter region -149 C>T (C46359T) of DNMT3B gene may alter DNMT3B activity which leads to increased susceptibility to cancer. Inconsistent results regarding this have been reported in a number of studies. OBJECTIVE: To carry out a meta-analysis of the studies reported to assess the precise relationship between the DNMT3B -149 C>T polymorphism and the overall cancer risk. METHOD: PubMed (MEDLINE) web database was searched for the studies concerning DNMT3B -149 C>T polymorphism and its association with cancer risk. The pooled odds ratios (ORs) along with 95% confidence intervals (95% CIs) were calculated for all the genetic models, from the selected case-control studies, by meta-analysis. RESULTS: Overall eighteen studies containing 5583 cancer cases and 7618 controls were analyzed. No significant risk was observed overall for T allele carrier (T vs. C: p=0.303; OR=1.032, 95% CI=0.972-1.097), homozygous (TT vs. CC: p=0.336; OR=1.063, 95% CI=0.939-1.204), heterozygous (CT vs. CC: p=0.802; OR=1.022, 95% CI=0.860-1.216), dominant (TT vs. CC+CT: p=0.298; OR=1.101, 95% CI=0.919-1.319) and recessive (TT+CT vs. CC: p=0.656; OR=1.021, 95% CI=0.931-1.121) genetic models. Subgroup analysis of Asian and Caucasian populations also did not demonstrate any cancer risk in all the genetic models studied. CONCLUSION: Our meta-analysis proposes that the DNMT3B -149 C>T polymorphism may not be an independent predisposing factor for the risk of cancer. However, larger sample size and expression studies are required to confirm the observation.