Elucidating epigenetic landscape of gastric premalignant lesions through genome-wide mapping of 5-hydroxymethylcytosines: A 12-year median follow-up study
- Zhongguang Luo 1, Wenshuai Li 1, Wanwei Zheng 1, Yixiang Shi 2, Maolin Ye 1, Xiangyu Guo 1, Kaiyi Fu 1, Changsheng Yan 1, Bowen Wang 2, Bin Lv 1, Shaocong Mo 1, Hongyang Zhang 1, Jun Zhang 1, Chuan He 3, Feifei Luo 1,4, Wei Zhang 5, Jie Liu 1,4
- Zhongguang Luo 1, Wenshuai Li 1, Wanwei Zheng 1
- 1Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China.
- 2Bionova (Shanghai) Medical Technology Co., Ltd., Shanghai, China.
- 3Department of Chemistry and The Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois, USA.
- 4National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
- 5Department of Preventive Medicine and The Robert h. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
- 0Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals the 5-hydroxymethylcytosines (5hmC) molecular landscape in gastric premalignant lesions. A novel 5hmC-based model shows promise in predicting gastric cancer progression risk.
Area Of Science
- Epigenetics and Cancer Biology
- Genomics and Molecular Pathology
- Gastroenterology and Oncology
Background
- Epigenetic modifications play a key role in cancer development.
- The role of 5-hydroxymethylcytosines (5hmC) in gastric premalignant lesion evolution is not well understood.
- Gastric adenocarcinoma (GAC) arises from a progression of premalignant lesions.
Purpose Of The Study
- To investigate the implications of 5hmC in the progression from gastric premalignant lesions to GAC.
- To explore the 5hmC molecular landscape in gastric premalignant lesions.
- To assess the feasibility of using 5hmC mapping for predicting cancer progression.
Main Methods
- Conducted a large-scale, longitudinal study of 29,176 Chinese patients with gastritis from 2001-2015.
- Performed genome-wide 5hmC mapping using the 5hmC-Seal assay on a subset of patients.
- Utilized multivariable logistic regression and machine learning to develop a predictive model.
Main Results
- Identified 213 differentially modified gene bodies linked to cell division, metabolism, inflammation, and tumorigenesis.
- Developed a nine-gene 5hmC-based model with an AUC of 87.5% for predicting cancer progression in validation samples.
- Found significant associations between 5hmC patterns and the evolution of gastric lesions.
Conclusions
- This is the first study to map the 5hmC landscape in gastric premalignant lesions.
- Identified key pathways involved in the progression to GAC.
- Demonstrated the potential of 5hmC mapping for assessing gastric cancer progression risk.
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