Dataset Information

Investigating the correlation between DNA methylation and immune?associated genes of lung adenocarcinoma based on a competing endogenous RNA network.

ABSTRACT: In recent years, there have been major breakthroughs in immunotherapies for the treatment of cancer. However, different patients have different responses to immunotherapy. Numerous studies have shown that the accumulation of epigenetic abnormalities, such as DNA methylation, serve an important role in the immune response of lung adenocarcinoma (LUAD). To investigate the effects of DNA methylation on tumor immunity with survival and prognosis, relevant studies can be performed based on the regulatory mechanisms of RNA molecules. For example, long non?coding RNAs (lncRNAs), which regulate gene expression through epigenetic levels. By constructing an immune-associated competitive endogenous RNA (ceRNA) network, the present study identified the regulatory associations among 3 key immune?associations mRNAs, 2 microRNAs (miRs) and 29 lncRNAs that were closely associated with the prognosis of patients with LUAD. The molecular biology analysis indicated that hypomethylation of the 1101320?1104290 regions of chromosome 1 resulted in the low expression levels of LINC00337 and that LINC00337 may affect the expression levels of CHEK1 by competitively binding with human (has)?miR?373 and hsa?miR?195. Therefore, abnormal DNA methylation in lncRNA?associated regions caused their abnormal expression levels, which further affected the interactions between RNA molecules. The interactions between these RNA molecules may have regulatory effects on tumor immunity and the prognosis of patients with LUAD.

SUBMITTER: Chang C

PROVIDER: S-EPMC7453503 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Investigating the correlation between DNA methylation and immune‑associated genes of lung adenocarcinoma based on a competing endogenous RNA network.

Chang Chun C Kong Wei W Mou Xiaoyang X Wang Shuaiqun S

Molecular medicine reports 20200819 4

In recent years, there have been major breakthroughs in immunotherapies for the treatment of cancer. However, different patients have different responses to immunotherapy. Numerous studies have shown that the accumulation of epigenetic abnormalities, such as DNA methylation, serve an important role in the immune response of lung adenocarcinoma (LUAD). To investigate the effects of DNA methylation on tumor immunity with survival and prognosis, relevant studies can be performed based on the regula ...[more]

PMID: 32945447

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Project description:Evidence is increasingly indicating that circular RNAs (circRNAs) are closely involved in tumorigenesis and cancer progression. However, the function and application of circRNAs in lung adenocarcinoma (LUAD) are still unknown. In this study, we constructed a circRNA-associated competitive endogenous RNA (ceRNA) network to investigate the regulatory mechanism of LUAD procession and further constructed a prognostic signature to predict overall survival for LUAD patients. Differentially expressed circRNAs (DEcircRNAs), differentially expressed miRNAs (DEmiRNAs), and differentially expressed mRNAs (DEmRNAs) were selected to construct the ceRNA network. Based on the TargetScan prediction tool and Pearson correlation coefficient, we constructed a circRNA-associated ceRNA network including 11 DEcircRNAs, 8 DEmiRNAs, and 49 DEmRNAs. GO and KEGG enrichment indicated that the ceRNA network might be involved in the regulation of GTPase activity and endothelial cell differentiation. After removing the discrete points, a PPI network containing 12 DEmRNAs was constructed. Univariate Cox regression analysis showed that three DEmRNAs were significantly associated with overall survival. Therefore, we constructed a three-gene prognostic signature for LUAD patients using the LASSO method in the TCGA-LUAD training cohort. By applying the signature, patients could be categorized into the high-risk or low-risk subgroups with significant survival differences (HR: 1.62, 95% CI: 1.12-2.35, log-rank p = 0.009). The prognostic performance was confirmed in an independent GEO cohort (GSE42127, HR: 2.59, 95% CI: 1.32-5.10, log-rank p = 0.004). Multivariate Cox regression analysis proved that the three-gene signature was an independent prognostic factor. Combining the three-gene signature with clinical characters, a nomogram was constructed. The primary and external verification C-indexes were 0.717 and 0.716, respectively. The calibration curves for the probability of 3- and 5-year OS showed significant agreement between nomogram predictions and actual observations. Our findings provided a deeper understanding of the circRNA-associated ceRNA regulatory mechanism in LUAD pathogenesis and further constructed a useful prognostic signature to guide personalized treatment of LUAD patients.

Dataset Information

Investigating the correlation between DNA methylation and immune?associated genes of lung adenocarcinoma based on a competing endogenous RNA network.

Publications

Investigating the correlation between DNA methylation and immune‑associated genes of lung adenocarcinoma based on a competing endogenous RNA network.

Similar Datasets

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