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ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Pharmacology of Anti-Cancer Drugs
Volume 16 - 2025 |
doi: 10.3389/fphar.2025.1538205
This article is part of the Research Topic Decoding the Epigenetic Landscape: Elucidating Cancer Pathology and Identifying Novel Therapeutic Targets View all 15 articles
Exploring the role of epigenetic regulation in cancer prognosis with epigenetic score
Provisionally accepted- 1 Department of Neurosurgery, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, shanghai, China
- 2 Department of Gastroenterology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
The mechanisms of epigenetic regulation emerge as a fundamental determinant in the complex landscape of cancer initiation and advancement. However, the specific impact of epigenetic regulation on cancer progression remains unclear. To explore the relationship between epigenetic regulation and cancer progression, we utilized transcriptomic data from The Cancer Genome Atlas (TCGA) datasets to investigate the association.We obtained transcriptomic data of epigenetic gene dataset from the TCGA database and calculated an epigenetic score using the Least Absolute Shrinkage and Selection Operator (LASSO) Cox model. Additionally, we created a nomogram that integrates the epigenetic score and clinical features, providing a more comprehensive tool for tumor patients prognosis assessment.We calculated the epigenetic score based on the expression levels of epigenetic-related genes. The nomogram we developed incorporates the epigenetic score and clinical characteristics. The epigenetic score was positively correlated with the expression of genes related to hallmarkers of cancer, including glycolysis, epithelial-mesenchymal transition (EMT), cell cycle, DNA repair, angiogenesis, and inflammatory response. Furthermore, we performed gene ontology (GO) analysis to explore the signaling pathways and biological processes in high epigenetic score group.The epigenetic scoring system developed in this investigation represents an innovative approach that demonstrates remarkable potential in forecasting survival trajectories 3 across diverse cancer types. These groundbreaking insights not only illuminate the intricate interactions between epigenetic mechanisms and gene expression regulation in oncological contexts, but also indicate that the derived epigenetic metric could potentially emerge as a significant prognostic biomarker for cancer outcomes.
Keywords: Epigenetic regulation, Cancer prognosis, pan- cancer, Prognosis prediction, nomogram
Received: 02 Dec 2024; Accepted: 23 Jan 2025.
Copyright: © 2025 Ruiguang, Jin, Xu and Dai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Shimin Jin, Department of Neurosurgery, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, shanghai, China
Qi Xu, Department of Gastroenterology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
Rongxiao Dai, Department of Neurosurgery, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, shanghai, China
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