Related Experiment Video
Updated: Sep 27, 2025
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
DNA methylation molecular subtypes for prognosis prediction in lung adenocarcinoma
Duoduo Xu1, Cheng Li2, Youjing Zhang3
1Wenzhou Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medicine University, No. 9 Jiaowei Road, Lucheng District, Wenzhou City, Zhejiang Province, China.
Aims:
Lung cancer is one of the main results in tumor-related mortality. Methylation differences reflect critical biological features of the etiology of LUAD and affect prognosis.
Methods:
In the present study, we constructed a prediction prognostic model integrating various DNA methylation used high-throughput omics data for improved prognostic evaluation.
Results:
Overall 21,120 methylation sites were identified in the training dataset. Overall, 237 promoter genes were identified by genomic annotation of 205 CpG loci. We used Akakike Information Criteria (AIC) to obtain the validity of data fitting, but to prevent overfitting. After AIC clustering, specific methylation sites of cg19224164 and cg22085335 were left. Prognostic analysis showed a significant difference among the two groups (P = 0.017). In particular, the hypermethylated group had a poor prognosis, suggesting that these methylation sites may be a marker of prognosis.
Conclusion:
The model might help in the identification of unknown biomarkers in predicting patient prognosis in LUAD.
