Cervical cancer (CC) is the second most common type of female malignancy in Bangladesh. Polymorphisms in the CYP1A1 gene have been reported to be associated with CC in different populations. This case-control study with meta-analysis was undertaken to assess the relation of CYP1A1 rs4646903 and rs1048943 polymorphisms with the susceptibility of CC. A total of 185 CC patients and 220 controls were recruited, and the PCR-RFLP (Polymerase chain reaction-restriction fragment length polymorphism) technique was applied for genotyping. Again, 42 eligible studies (24 with rs4646903 and 18 with rs1048943) were included for meta-analysis, and RevMan 5.3 and the MetaGenyo web-based tool were used. The rs4646903 polymorphism was significantly linked with CC in all association models, namely, additive 1, additive 2, dominant, recessive, overdominant, and allele models (OR = 2.41, 4.75, 2.67, 3.61, 2.13, and 2.44 with corresponding 95% CI = 1.55–3.76, 1.81–12.45, 1.75–4.07, 1.39–9.35, 1.38–3.30, and 1.71–3.48, respectively). On the contrary, rs1048943 showed no association (p > 0.05) with CC. Haplotype analysis revealed AT and AC haplotypes significantly decreased (OR = 0.45) and increased (OR = 4.86) CC risk, respectively, and SNPs are in strong linkage disequilibrium (D’ = 0.912, r² = 0.448). Again, rs4646903 carriers with a contraception history and >5 years of taking contraceptives showed an enhanced risk of CC (OR = 2.39, OR = 3.05). Besides, rs1048943 carriers aged >40 years (OR = 0.44), conceived first child aged ≤18 years (OR = 3.45), and history of contraceptives (OR = 2.18) were significantly linked with CC. Our meta-analysis found that for CYP1A1 rs4646903 codominant 1 (COD 1), codominant 2 (COD 2), codominant 3 (COD 3), dominant model (DM), recessive model (RM), and allele model (AM) in Caucasians and overdominant model (OD) in the overall population are associated with an elevated risk of CC, whereas rs1048943 is also associated with CC in overall, Caucasians and Asians in some genetic models. Our case-control study and meta-analysis summarize that CYP1A1 rs4646903 and rs1048943 polymorphisms may be correlated with cervical cancer.

Background and Aims: Vitamin C has been predicted to be effective as an antioxidant in treating various ailments, including viral infections such as pervasive coronavirus disease (COVID‐19). With this meta‐analysis, we looked to ascertain the relationship between high‐dose vitamin C administration and mortality, severity, and length of hospitalization of COVID‐19 patients.Methods: We collected articles from PubMed, Google Scholar, ScienceDirect, SAGE, and Cochrane databases between January 1, 2020, and May 30, 2022. Odds ratio (ORs) with corresponding 95% confidence interval (CI) and p value were calculated to assess the connection of high‐dose vitamin C in COVID‐19 patients' mortality and severity. The length of hospitalization was calculated and pooled with the mean difference (MD), 95% CI, and p value. Review manager 5.3 was used to carry out this meta‐analysis.Results: This meta‐analysis included 15 complete studies involving 2125 COVID‐19 patients. Our study demonstrated a significant correlation between vitamin C consumption and death. Vitamin C consumption significantly reduces mortality risk with COVID‐19 patients (OR = 0.54, 95% CI = 0.42–0.69, p < 0.00001). Furthermore, there was a link between the severity of COVID‐19 and the intake of vitamin C. Patients who consumed vitamin C showed 0.63 times less severity than those who did not take vitamin C (OR = 0.63, 95% CI = 0.43–0.94, p = 0.02). Patients taking vitamin C spent slightly more time in hospital than those who did not take vitamin C (MD = 0.19, 95% CI = −1.57 to 1.96, p = 0.83).Conclusions: During COVID‐19, there was a substantial advantage in taking supplementary vitamin C, at least in terms of severity and mortality.

Background and Aims: Breast cancer is one of the deadliest diseases affecting women in Bangladesh, and its prevalence is increasing year by year. Although several IL‐6 single nucleotide polymorphisms have been implicated in BC susceptibility and prognosis in various studies, no research has been done to investigate the relationship between breast cancer and IL‐6 in Bangladeshi women. This investigation aimed to explore the linkage between the rs1800797 variant of IL‐6 and the susceptibility to breast carcinoma among women in Bangladesh. Methods: The IL‐6 rs1800797 variant was genotyped in 218 subjects (110 cases and 108 controls) using the tetra‐primer ARMS‐PCR method. The statistical analysis was applied utilizing the SPSS software version 24.0. UALCAN database was used for IL‐6 mRNA analysis, and genotype‐based gene expression was retrieved from GTEx Portal. Results: This study found a significant link between IL‐6 rs1800797 variants and increased chance of breast cancer across different genetic inheritance models, including additive model 1 (AG vs. GG: OR = 2.16, p = 0.035); dominant model (AG + AA vs. GG: OR = 2.26, p < 0.05); overdominant model (AG vs. GG + AA: OR = 2.08, p < 0.05); and allelic model (A vs. G: OR = 2.15, p < 0.05). However, an insignificant association of breast cancer was found in both additive model 2 (AA vs. GG: OR = 2.91, p > 0.05) and the recessive model (AA vs. GG + AG: OR = 2.52, p > 0.05). Under the analysis of the probability of false positive reports, no significant values were found in different models when the OR was 1.5, and the prior probability was 0.25. Conclusions: A significant relationship was found between the IL‐6 rs1800797 genetic variant and the risk of breast cancer. However, the findings of the study should be further investigated with a larger sample size to validate the correlation.

Background: The prevalence of Cervical Cancer (CC) is disproportionately higher in developing countries. It is the second most frequent cancer type among Bangladeshi women and the major cause of morbidity and mortality. However, no previous data reported the association of miR-218-2 gene polymorphisms in Bangladeshi cervical cancer patients. Aim: This case-control study was designed to find the link between the rs11134527 polymorphism in miR-218-2 and CC. Methods: A total of 488 subjects were recruited, comprising 256 cervical cancer patients and 232 healthy females. Genotyping was conducted with the tetra-primer ARMS-PCR technique to detect the association. Results: The results of genotype data showed that rs11134527 was in the Hardy-Weinberg equilibrium in both CC cases and controls (P >0.05). Overall, the polymorphism was found to be significantly associated with an increased risk of cervical cancer with AG genotype (AG vs. GG: OR = 2.26, 95% Cl = 1.40-3.66, P = 0.0008), AA genotype (AA vs. GG: OR = 3.64, 95% Cl = 2.17-6.10, P <0.0001), dominant model (AG+AA vs. GG: OR = 2.75, 95% Cl = 1.75-4.31, P <0.0001), recessive model (AA vs. GG+AG: OR = 2.08, 95% Cl = 1.41-3.08, P = 0.0002), and A allele (A vs. G: OR = 1.94, 95% Cl = 1.51-2.51, P <0.0001). All of these correlations remained statistically significant after performing Bonferroni correction (P <0.008). Conclusion: Our study suggests that the rs11134527 polymorphism in the miR-218-2 gene contributes to the susceptibility of CC in Bangladeshi women.