Beyond Genomics: Epigenetic and Transcriptomic Dynamics in Tumor Progression

Special Issue Editor

Special Issue Information

Dear Colleagues,

This Special Issue investigates the complex genetic, epigenetic, and transcriptomic alterations that drive tumor formation and progression. By combining multi-omics methods, researchers hope to discover novel biomarkers and possible treatment targets, improving our understanding of cancer biology and the intricate relationships that drive tumor activity. This issue seeks to collect papers that investigate these dynamic regulatory networks, thereby contributing to the development of more precise diagnostic and prognostic tools to enhance clinical outcomes for cancer patients.

Dr. Dario De Biase
Guest Editor

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Keywords

  • tumor formation
  • tumor progression
  • diagnostic and prognostic tools
  • predictive markers in solid tumors
  • molecular pathology
  • biomarkers
  • cancer

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Published Papers (1 paper)

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Research

12 pages, 472 KiB  
Article
Impact of hMLH1 −93G>A (rs1800734) and hMSH2 1032G>A (rs4987188) Polymorphisms on Colorectal Cancer Susceptibility
by Bayram Bayramov, Nigar Karimova, Nigar Mehdiyeva, Hagigat Valiyeva, Rena Karimova, Royal Shirinov, Hazi Aslanov, Zumrud Safarzade, Orkhan Isayev and Nuru Bayramov
J. Mol. Pathol. 2025, 6(3), 15; https://doi.org/10.3390/jmp6030015 - 8 Jul 2025
Viewed by 241
Abstract
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 [...] Read more.
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. Full article
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