Epigenetic Regulation in Tumors
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Epigenomics".
Deadline for manuscript submissions: 25 August 2025 | Viewed by 416
Special Issue Editor
Interests: epigenetic mechanisms; oncogenesis; viral induced oncogenesis; DNA methylation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cancer is a multifactorial and a complex disease characterized at molecular level not only by genetic mutations but also by epigenetic alterations. As already known, epigenetics plays a pivotal role in tumor development, progression, and resistance to therapy. Dysregulated mechanisms such as DNA methylation, histone modifications, and non-coding RNAs contribute to oncogenic transformation. Epigenetic modifications are influenced by environmental factors (e.g., pollution), lifestyle habits and infections, particularly viral infections. Moreover, the dynamic interplay between epigenetic modifications and the tumor microenvironment influences cancer cell plasticity, immune evasion, and metastasis. In the 'omics' era, studying the altered epigenome of cancer cells could reveal effective biomarkers for precision medicine and guide the development of new anticancer therapies. Although RNA epigenetics is still an underexplored field, several studies have shown that RNA modifications can impact gene expression and drug response. Artificial intelligence has the potential to accelerate the discovery of tumor epigenetic biomarkers and the development of personalized treatments.
Key topics covered in this issue include, but are not limited to: epigenetic mechanisms driving tumorigenesis, novel epigenetic biomarkers for cancer diagnosis and prognosis, therapeutic targeting of the epigenome, epigenetic interactions with the tumor microenvironment, multi-omics and bioinformatics approaches in cancer epigenetics.
Dr. Anca Botezatu
Guest Editor
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Keywords
- cancer epigenetics
- epigenetic mechanisms
- tumor microenvironment
- epigenetic biomarkers
- multi-omics and bioinformatics
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