Current data and future perspectives on DNA methylation in ovarian cancer (Review)

Int J Oncol. 2024 Jun;64(6):62. doi: 10.3892/ijo.2024.5650. Epub 2024 May 17.

Abstract

Ovarian cancer (OC) represents the most prevalent malignancy of the female reproductive system. Its distinguishing features include a high aggressiveness, substantial morbidity and mortality, and a lack of apparent symptoms, which collectively pose significant challenges for early detection. Given that aberrant DNA methylation events leading to altered gene expression are characteristic of numerous tumor types, there has been extensive research into epigenetic mechanisms, particularly DNA methylation, in human cancers. In the context of OC, DNA methylation is often associated with the regulation of critical genes, such as BRCA1/2 and Ras‑association domain family 1A. Methylation modifications within the promoter regions of these genes not only contribute to the pathogenesis of OC, but also induce medication resistance and influence the prognosis of patients with OC. As such, a more in‑depth understanding of DNA methylation underpinning carcinogenesis could potentially facilitate the development of more effective therapeutic approaches for this intricate disease. The present review focuses on classical tumor suppressor genes, oncogenes, signaling pathways and associated microRNAs in an aim to elucidate the influence of DNA methylation on the development and progression of OC. The advantages and limitations of employing DNA methylation in the diagnosis, treatment and prevention of OC are also discussed. On the whole, the present literature review indicates that the DNA methylation of specific genes could potentially serve as a prognostic biomarker for OC and a therapeutic target for personalized treatment strategies. Further investigations in this field may yield more efficacious diagnostic and therapeutic alternatives for patients with OC.

Keywords: DNA methylation; oncogenes; ovarian cancer; pathways; tumor suppressor genes.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • DNA Methylation*
  • Epigenesis, Genetic
  • Female
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • MicroRNAs / genetics
  • Ovarian Neoplasms* / genetics
  • Ovarian Neoplasms* / pathology
  • Prognosis
  • Promoter Regions, Genetic
  • Signal Transduction / genetics

Grants and funding

The present study was supported in part by the National Nature and Science Foundation of China (grant nos. 82271724, 81873841, 81741024 and 81401244), the Ministry of Science and Technology (grant no. 2019YFA0802600), the Suzhou City 'Wei Sheng Ren Cai (GSWS2019029)' program, the General Programs of Jiangsu Commission of Health (grant no. M2021087), the Nature and Science Foundation of Jiangsu (grant no. BK20221243) and the Suzhou city Medical and health technology innovation Project (grant no. SKY2021035).