Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15
Background: Gastric cancer (GC) has a high mortality rate. N6-methyladenosine (m6A) is involved in the development of GC. Age and gender are associated with GC incidence and survival. This study aimed to explore the risk score prediction model of prognosis in GC patients by age and gender combined w...
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| Format: | Article |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Cell and Developmental Biology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcell.2022.710708/full |
| _version_ | 1818285667508027392 |
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| author | Limin Yue Rongguang Zhang Rongguang Zhang Shuaiyin Chen Guangcai Duan |
| author_facet | Limin Yue Rongguang Zhang Rongguang Zhang Shuaiyin Chen Guangcai Duan |
| author_sort | Limin Yue |
| collection | DOAJ |
| description | Background: Gastric cancer (GC) has a high mortality rate. N6-methyladenosine (m6A) is involved in the development of GC. Age and gender are associated with GC incidence and survival. This study aimed to explore the risk score prediction model of prognosis in GC patients by age and gender combined with m6A modification genes.Methods: Data on m6A modification gene expression and clinical information downloaded from the Cancer Genome Atlas (TCGA) database were used to construct the risk score prediction model. Cox and least absolute shrinkage and selection operator (LASSO) regression were performed to identify clinical characteristics and m6A modification genes associated with prognosis. A risk score prediction model was established based on multivariate Cox regression analysis. The Gene Expression Omnibus (GEO) database was used to validate this model.Results: Most of the m6A modification genes were upregulated in GC tumor tissues compared with that in normal tissues and were correlated with clinical characteristics including grade, stage status, and T status. The risk score prediction model was established based on age, gender, FTO, and RBM15. GC patients were divided into high- or low-risk groups based on the median risk score. Patients with a high risk score had poor prognosis. Multivariate Cox regression indicated that risk score was an independent prognostic factor for GC patients. The data from GSE84437 verified the predictive value of this model.Conclusion: The risk score prediction model based on age and gender combined with m6A modification genes FTO and RBM15 was an independent prognostic factor for GC patients. |
| first_indexed | 2024-12-13T01:12:20Z |
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| institution | Directory Open Access Journal |
| issn | 2296-634X |
| language | English |
| last_indexed | 2024-12-13T01:12:20Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cell and Developmental Biology |
| spelling | doaj.art-1c5eaa31e8074b1ea08181ba29bd207f2022-12-22T00:04:25ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2022-03-011010.3389/fcell.2022.710708710708Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15Limin Yue0Rongguang Zhang1Rongguang Zhang2Shuaiyin Chen3Guangcai Duan4Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, ChinaDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, ChinaDepartment of Epidemiology, College of Public Health, Hainan Medical University, Haikou, ChinaDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, ChinaDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, ChinaBackground: Gastric cancer (GC) has a high mortality rate. N6-methyladenosine (m6A) is involved in the development of GC. Age and gender are associated with GC incidence and survival. This study aimed to explore the risk score prediction model of prognosis in GC patients by age and gender combined with m6A modification genes.Methods: Data on m6A modification gene expression and clinical information downloaded from the Cancer Genome Atlas (TCGA) database were used to construct the risk score prediction model. Cox and least absolute shrinkage and selection operator (LASSO) regression were performed to identify clinical characteristics and m6A modification genes associated with prognosis. A risk score prediction model was established based on multivariate Cox regression analysis. The Gene Expression Omnibus (GEO) database was used to validate this model.Results: Most of the m6A modification genes were upregulated in GC tumor tissues compared with that in normal tissues and were correlated with clinical characteristics including grade, stage status, and T status. The risk score prediction model was established based on age, gender, FTO, and RBM15. GC patients were divided into high- or low-risk groups based on the median risk score. Patients with a high risk score had poor prognosis. Multivariate Cox regression indicated that risk score was an independent prognostic factor for GC patients. The data from GSE84437 verified the predictive value of this model.Conclusion: The risk score prediction model based on age and gender combined with m6A modification genes FTO and RBM15 was an independent prognostic factor for GC patients.https://www.frontiersin.org/articles/10.3389/fcell.2022.710708/fullgastric cancerN6-methyladenosineprognostic factorFTORBM15 |
| spellingShingle | Limin Yue Rongguang Zhang Rongguang Zhang Shuaiyin Chen Guangcai Duan Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15 Frontiers in Cell and Developmental Biology gastric cancer N6-methyladenosine prognostic factor FTO RBM15 |
| title | Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15 |
| title_full | Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15 |
| title_fullStr | Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15 |
| title_full_unstemmed | Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15 |
| title_short | Risk Score Prediction Model of Prognosis in GC Patients by Age and Gender Combined With m6A Modification Genes FTO and RBM15 |
| title_sort | risk score prediction model of prognosis in gc patients by age and gender combined with m6a modification genes fto and rbm15 |
| topic | gastric cancer N6-methyladenosine prognostic factor FTO RBM15 |
| url | https://www.frontiersin.org/articles/10.3389/fcell.2022.710708/full |
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