Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes
Background: Lung adenocarcinoma is one of the most common malignant tumors of the respiratory system, ranking first in morbidity and mortality among all cancers. This study aims to establish a ferroptosis-related gene-based prognostic model to investigate the potential prognosis of lung adenocarcino...
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| Format: | Article |
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Frontiers Media S.A.
2021-09-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.739520/full |
| _version_ | 1819063677971595264 |
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| author | Min Liang Mafeng Chen Yinghua Zhong Shivank Singh Shantanu Singh |
| author_facet | Min Liang Mafeng Chen Yinghua Zhong Shivank Singh Shantanu Singh |
| author_sort | Min Liang |
| collection | DOAJ |
| description | Background: Lung adenocarcinoma is one of the most common malignant tumors of the respiratory system, ranking first in morbidity and mortality among all cancers. This study aims to establish a ferroptosis-related gene-based prognostic model to investigate the potential prognosis of lung adenocarcinoma.Methods: We obtained gene expression data with matching clinical data of lung adenocarcinoma from the The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The ferroptosis-related genes (FRGs) were downloaded from three subgroups in the ferroptosis database. Using gene expression differential analysis, univariate Cox regression, and LASSO regression analysis, seven FRGs with prognostic significance were identified. The result of multivariate Cox analysis was utilized to calculate regression coefficients and establish a risk-score formula that divided patients with lung adenocarcinoma into high-risk and low-risk groups. The TCGA results were validated using GEO data sets. Then we observed that patients divided in the low-risk group lived longer than the overall survival (OS) of the other. Then we developed a novel nomogram including age, gender, clinical stage, TNM stage, and risk score.Results: The areas under the curves (AUCs) for 3- and 5-years OS predicted by the model were 0.823 and 0.852, respectively. Calibration plots and decision curve analysis also confirmed the excellent predictive performance of the model. Subsequently, gene function enrichment analysis revealed that the identified FRGs are important in DNA replication, cell cycle regulation, cell adhesion, chromosomal mutation, oxidative phosphorylation, P53 signaling pathway, and proteasome processes.Conclusions: Our results verified the prognostic significance of FRGs in patients with lung adenocarcinoma, which may regulate tumor progression in a variety of pathways. |
| first_indexed | 2024-12-21T15:18:29Z |
| format | Article |
| id | doaj.art-221f705ad04843f0952c76c389446906 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-21T15:18:29Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-221f705ad04843f0952c76c3894469062022-12-21T18:59:06ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-09-011210.3389/fgene.2021.739520739520Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related GenesMin Liang0Mafeng Chen1Yinghua Zhong2Shivank Singh3Shantanu Singh4Department of Respiratory and Critical Care Medicine, Maoming People’s Hospital, Maoming, ChinaDepartment of Otolaryngology, Maoming People’s Hospital, Maoming, ChinaDepartment of Pediatrics, Fogang County Hospital of Traditional Chinese Medicine, Qingyuan, ChinaSouthern Medical University, Guangzhou, ChinaDivision of Pulmonary, Critical Care and Sleep Medicine, Marshall University, Huntington, WV, United StatesBackground: Lung adenocarcinoma is one of the most common malignant tumors of the respiratory system, ranking first in morbidity and mortality among all cancers. This study aims to establish a ferroptosis-related gene-based prognostic model to investigate the potential prognosis of lung adenocarcinoma.Methods: We obtained gene expression data with matching clinical data of lung adenocarcinoma from the The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The ferroptosis-related genes (FRGs) were downloaded from three subgroups in the ferroptosis database. Using gene expression differential analysis, univariate Cox regression, and LASSO regression analysis, seven FRGs with prognostic significance were identified. The result of multivariate Cox analysis was utilized to calculate regression coefficients and establish a risk-score formula that divided patients with lung adenocarcinoma into high-risk and low-risk groups. The TCGA results were validated using GEO data sets. Then we observed that patients divided in the low-risk group lived longer than the overall survival (OS) of the other. Then we developed a novel nomogram including age, gender, clinical stage, TNM stage, and risk score.Results: The areas under the curves (AUCs) for 3- and 5-years OS predicted by the model were 0.823 and 0.852, respectively. Calibration plots and decision curve analysis also confirmed the excellent predictive performance of the model. Subsequently, gene function enrichment analysis revealed that the identified FRGs are important in DNA replication, cell cycle regulation, cell adhesion, chromosomal mutation, oxidative phosphorylation, P53 signaling pathway, and proteasome processes.Conclusions: Our results verified the prognostic significance of FRGs in patients with lung adenocarcinoma, which may regulate tumor progression in a variety of pathways.https://www.frontiersin.org/articles/10.3389/fgene.2021.739520/fulllung adenocarcinomaferroptosisgeneprognosisprognostic |
| spellingShingle | Min Liang Mafeng Chen Yinghua Zhong Shivank Singh Shantanu Singh Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes Frontiers in Genetics lung adenocarcinoma ferroptosis gene prognosis prognostic |
| title | Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes |
| title_full | Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes |
| title_fullStr | Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes |
| title_full_unstemmed | Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes |
| title_short | Construction of a Prognostic Model in Lung Adenocarcinoma Based on Ferroptosis-Related Genes |
| title_sort | construction of a prognostic model in lung adenocarcinoma based on ferroptosis related genes |
| topic | lung adenocarcinoma ferroptosis gene prognosis prognostic |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2021.739520/full |
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