Insight into the role of DNA methylation in prognosis and treatment response prediction of gastrointestinal cancers.

Abudurousuli Reyila, Xianchun Gao, Jun Yu, Yongzhan Nie
Author Information
  1. Abudurousuli Reyila: State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Fourth Military Medical University, Xi'an, Shaanxi, China.
  2. Xianchun Gao: State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Fourth Military Medical University, Xi'an, Shaanxi, China.
  3. Jun Yu: State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Fourth Military Medical University, Xi'an, Shaanxi, China.
  4. Yongzhan Nie: State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Fourth Military Medical University, Xi'an, Shaanxi, China.

Abstract

Gastrointestinal (GI) cancers impose a significant disease burden, underscoring the critical importance of accurate prognosis prediction and treatment response evaluation. DNA methylation, one of the most extensively studied epigenetic modifications, has gained prominence due to its reliable measurement across various sample types. Numerous studies have reported that DNA methylation was linked to the diagnosis, prognosis and treatment response in malignancies, including GI cancers. While its diagnostic role in GI cancers has been comprehensively reviewed. Recent research has increasingly highlighted its potential in prognosis prediction and treatment response evaluation. However, no existing reviews have exclusively focused on these two aspects. In this review, we retrieved relevant studies and included 230 of them in our discussion, thereby providing an overview of the clinical applicability of aberrant DNA methylation in these two fields among patients with esophageal, gastric, colorectal, pancreatic cancers, and hepatocellular carcinomas. Additionally, we discuss the limitations of the current literature and propose directions for future research. Specifically, we emphasize the need for standardized DNA methylation methodologies and advocate for the integration of gene panels, rather than single genes, to address tumor heterogeneity more effectively.

Keywords

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