Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma
The ceRNA network, consisting of both noncoding RNA and protein-coding RNA, governs the occurrence, progression, metastasis, and infiltration of lung adenocarcinoma. Signatures comprising multiple genes can effectively determine survival stratification and prognosis of patients with lung adenocarcin...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402404115X |
| _version_ | 1827292699589345280 |
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| author | Hong Wei Fei Teng XiaoLei Wang XiuJuan Hou HongBo Wang Hong Wang Hui Sun XianLi Zhou |
| author_facet | Hong Wei Fei Teng XiaoLei Wang XiuJuan Hou HongBo Wang Hong Wang Hui Sun XianLi Zhou |
| author_sort | Hong Wei |
| collection | DOAJ |
| description | The ceRNA network, consisting of both noncoding RNA and protein-coding RNA, governs the occurrence, progression, metastasis, and infiltration of lung adenocarcinoma. Signatures comprising multiple genes can effectively determine survival stratification and prognosis of patients with lung adenocarcinoma. To explore the mechanisms of lung adenocarcinoma progression and identify potential biological targets, we carried out systematic bioinformatics analyses of the genetic profiles of lung adenocarcinoma, such as weighted gene co-expression network analysis (WGCNA), differential expression (DE) assessment, univariate and multivariate Cox proportional hazard regression models, ceRNA modulatory networks generated using the ENCORI and miRcode databases, nomogram models, ROC curve assessment, and Kaplan-Meier survival curve analysis. The ceRNA network encompassed 37 nodes, comprising 12 mRNAs, 22 lncRNAs, and three miRNAs. Simultaneously, we performed integration analysis using the 12 genes from the ceRNA network. Our findings revealed that the signature established by these 12 genes serves as an adverse element in lung adenocarcinoma, contributing to unfavorable patient prognosis. To ensure the credibility of our results, we used in vitro experiments for further verification. In conclusion, our study delved into the potential mechanisms underlying lung adenocarcinoma via the ceRNA regulatory network, specifically focusing on the PIF1 and has-miR-125a-5p axis. Additionally, a signature comprising 12 genes was identified as a biomarker related to the prognosis of lung adenocarcinoma. |
| first_indexed | 2024-04-24T13:10:18Z |
| format | Article |
| id | doaj.art-186128d4352d4edba347a95d9f71bf6a |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T13:10:18Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-186128d4352d4edba347a95d9f71bf6a2024-04-05T04:41:05ZengElsevierHeliyon2405-84402024-04-01107e28084Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinomaHong Wei0Fei Teng1XiaoLei Wang2XiuJuan Hou3HongBo Wang4Hong Wang5Hui Sun6XianLi Zhou7In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaIn-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaIn-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaIn-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaIn-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaIn-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaIn-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaCorresponding author. 246 Xuefu Road, Nangang District, Harbin, Heilongjiang, China.; In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, ChinaThe ceRNA network, consisting of both noncoding RNA and protein-coding RNA, governs the occurrence, progression, metastasis, and infiltration of lung adenocarcinoma. Signatures comprising multiple genes can effectively determine survival stratification and prognosis of patients with lung adenocarcinoma. To explore the mechanisms of lung adenocarcinoma progression and identify potential biological targets, we carried out systematic bioinformatics analyses of the genetic profiles of lung adenocarcinoma, such as weighted gene co-expression network analysis (WGCNA), differential expression (DE) assessment, univariate and multivariate Cox proportional hazard regression models, ceRNA modulatory networks generated using the ENCORI and miRcode databases, nomogram models, ROC curve assessment, and Kaplan-Meier survival curve analysis. The ceRNA network encompassed 37 nodes, comprising 12 mRNAs, 22 lncRNAs, and three miRNAs. Simultaneously, we performed integration analysis using the 12 genes from the ceRNA network. Our findings revealed that the signature established by these 12 genes serves as an adverse element in lung adenocarcinoma, contributing to unfavorable patient prognosis. To ensure the credibility of our results, we used in vitro experiments for further verification. In conclusion, our study delved into the potential mechanisms underlying lung adenocarcinoma via the ceRNA regulatory network, specifically focusing on the PIF1 and has-miR-125a-5p axis. Additionally, a signature comprising 12 genes was identified as a biomarker related to the prognosis of lung adenocarcinoma.http://www.sciencedirect.com/science/article/pii/S240584402404115XLung adenocarcinomaWGCNAceRNABiomarkerSignature |
| spellingShingle | Hong Wei Fei Teng XiaoLei Wang XiuJuan Hou HongBo Wang Hong Wang Hui Sun XianLi Zhou Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma Heliyon Lung adenocarcinoma WGCNA ceRNA Biomarker Signature |
| title | Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma |
| title_full | Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma |
| title_fullStr | Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma |
| title_full_unstemmed | Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma |
| title_short | Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma |
| title_sort | identification of a prognosis related gene signature and cerna regulatory networks in lung adenocarcinoma |
| topic | Lung adenocarcinoma WGCNA ceRNA Biomarker Signature |
| url | http://www.sciencedirect.com/science/article/pii/S240584402404115X |
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