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Epigenetic Age Acceleration of Stomach Adenocarcinoma Associated With Tumor Stemness Features, Immunoactivation, and Favorable Prognosis

Authors :
Chunhong Hong
Danhui Zhong
Hong Yu
Jianfeng Li
Liang Li
Hong Chen
Wenhui Wu
Mingzhe Li
Jinyao Chen
Qianlin Zeng
Shiqiang Zhang
Qiaojin Wang
Shaohua Yang
Changhua Zhang
Source :
Frontiers in Genetics, Vol 12 (2021), Frontiers in Genetics
Publication Year :
2021
Publisher :
Frontiers Media SA, 2021.

Abstract

Background: Abnormal DNA methylation (DNAm) age has been assumed to be an indicator for canceration and all-cause mortality. However, associations between DNAm age and molecular features of stomach adenocarcinoma (STAD), and its prognosis have not been systematically studied.Method: We calculated the DNAm age of 591 STAD samples and 115 normal stomach samples from The Cancer Genome Atlas (TCGA) and gene expression omnibus (GEO) database using the Horvath’s clock model. Meanwhile, we utilized survival analysis to evaluate the prognostic value of DNAm age and epigenetic age acceleration shift. In addition, we performed weighted gene co-expression network analysis (WGCNA) to identify DNAm age-associated gene modules and pathways. Finally, the association between DNAm age and molecular features was performed by correlation analysis.Results: DNA methylation age was significantly correlated with chronological age in normal gastric tissues (r = 0.85, p < 0.0001), but it was not associated with chronological age in STAD samples (r = 0.060, p = 0.2369). Compared with tumor adjacent normal tissue, the DNAm age of STAD tissues was significantly decreased. Meanwhile, chronological age in STAD samples was higher than its DNAm age. Both DNAm age and epigenetic acceleration shift were associated with the prognosis of STAD patients. By using correlation analysis, we also found that DNAm age was associated with immunoactivation and stemness in STAD samples.Conclusion: In summary, epigenetic age acceleration of STAD was associated with tumor stemness, immunoactivation, and favorable prognosis.

Details

ISSN :
16648021
Volume :
12
Database :
OpenAIRE
Journal :
Frontiers in Genetics
Accession number :
edsair.doi.dedup.....d8c3de1c1b00632c68b7ba742d74fd49
Full Text :
https://doi.org/10.3389/fgene.2021.563051