Rena Karimova

Dr. Rena Karimova


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 May 2025 in Preprints.org
Verified
Preprint
Open access
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BBBayram Bayramov
Bayram Bayramov
NKNigar Karimova
Nigar Karimova
NMNigar Mehdiyeva
Nigar Mehdiyeva
HVHagigat Valiyeva
Hagigat Valiyeva
RKRena Karimova
Rena Karimova
NBNuru Bayramov
Nuru Bayramov
Background: This study is the first to investigate the association between colorectal cancer (CRC) risk and the hMLH1 -93G>A and hMSH2 1032G>A polymorphisms of mismatch repair (MMR) genes in the Azerbaijani population. Methods: Peripheral blood samples containing EDTA were collected from the study subjects (134 patients and 137 controls), and genomic DNA was extracted using the non-enzymatic salting-out method. Genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and the results were visualized through agarose gel electrophoresis. Results: Overall, no statistically significant correlation was observed between CRC risk and the hMLH1 -93G>A polymorphism in the heterozygous GA (OR=0.76; 95% CI=0.37–1.54; P=0.446), mutant AA (OR=1.47; 95% CI=0.74–2.95; P=0.270), or the A allele (OR=1.062; 95% CI=0.735–1.534; P=0.748). However, in contrast to the dominant model, a statistically significant association was found between the recessive model and a reduced CRC risk, with an odds ratio of 0.56 (95% CI=0.35–0.91; P=0.018). The hMLH1 -93G>A polymorphism was identified at a significantly higher frequency across the TNM stages, with the distribution showing statistical significance (P0.05). Additionally, no statistically significant association was observed between the hMSH2 1032G>A polymorphism and CRC risk. Conclusions: Our results indicate that the hMLH1 -93G>A polymorphism, particularly under the recessive model, may play a protective role against CRC risk in the Azerbajani population. Further studies are required to validate these results and investigate the underlying biological mechanisms.

Verified
Journal Article
Open access
PDF file
BBBayram Bayramov
Bayram Bayramov
NKNigar Karimova
Nigar Karimova
NMNigar Mehdiyeva
Nigar Mehdiyeva
HVHagigat Valiyeva
Hagigat Valiyeva
RKRena Karimova
Rena Karimova
NBNuru Bayramov
Nuru Bayramov
Background: This study is the first to investigate the association between colorectal cancer (CRC) risk and the hMLH1 −93G>A and hMSH2 1032G>A polymorphisms of mismatch repair (MMR) genes in the Azerbaijani population. Methods: Peripheral blood samples containing EDTA were collected from the study subjects (134 patients and 137 controls), and genomic DNA was extracted using the non-enzymatic salting-out method. Genotypes were determined by polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP), and the results were visualized through agarose gel electrophoresis. Results: Overall, no statistically significant correlation was observed between CRC risk and the hMLH1 −93G>A polymorphism in the heterozygous GA (OR = 0.760; 95% CI = 0.374–1.542; p = 0.446), the mutant AA (OR = 1.474; 95% CI = 0.738–2.945; p = 0.270), or the A allele (OR = 1.400; 95% CI = 0.984–1.995; p = 0.062). However, in contrast to the dominant model, a statistically significant association was found between the recessive model and an increased CRC risk, with an odds ratio of 1.788 (95% CI = 1.102–2.900; p = 0.018). The hMLH1 −93G>A polymorphism was identified at a significantly higher frequency across the TNM stages, with the distribution showing statistical significance (p < 0.05). Additionally, no statistically significant association was observed between the hMSH2 1032G>A polymorphism and CRC risk. Conclusions: Although no overall association was observed for hMLH1 −93G>A, our findings suggest a potential link with increased colorectal cancer risk under the recessive model in the Azerbaijani population. Further studies are warranted to confirm this model-specific association and investigate the underlying biological mechanisms.