A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma
Background: M7G modification is extremely vital for the development of many cancers, especially tumor immunity. M7G modification is a novel functional regulator of miRNA, and the researches on m7G-related miRNAs in kidney renal clear cell carcinoma (KIRC) are still insufficient. This research aims t...
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| Format: | Article |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.922358/full |
| _version_ | 1818213887964610560 |
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| author | Peng Hong Huifang Du Ming Tong Qingfei Cao Ding Hu Jiaji Ma Yanyang Jin Zizhi Li Weichao Huang Guangquan Tong |
| author_facet | Peng Hong Huifang Du Ming Tong Qingfei Cao Ding Hu Jiaji Ma Yanyang Jin Zizhi Li Weichao Huang Guangquan Tong |
| author_sort | Peng Hong |
| collection | DOAJ |
| description | Background: M7G modification is extremely vital for the development of many cancers, especially tumor immunity. M7G modification is a novel functional regulator of miRNA, and the researches on m7G-related miRNAs in kidney renal clear cell carcinoma (KIRC) are still insufficient. This research aims to establish a risk signature on the foundation of m7G-associated miRNAs, which can precisely forecast the prognosis of KIRC patients.Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. Our team utilized univariable Cox, Lasso and multivariable Cox analyses to construct a m7G-associated miRNAs risk signature that can forecast the prognosis of KIRC patients. Kaplan-Meier method, time-dependent receiver operating characteristic (ROC) curve, and the independent analysis of risk signatures were employed to verify the predictability and accuracy of the risk signature. Subsequently, based on CIBERSORT, ESTIMATE and ssGSEA algorithms, we speculated the potential impact of the proposed risk signature on tumor immune microenvironment. Ultimately, by virtue of the risk signature and tumor immunity, the hub genes affecting the prognosis of KIRC patients were screened out.Results: Our team established and verified a prognostic signature comprising 7 m7G-associated miRNAs (miR-342-3p, miR-221-3p, miR-222-3p, miR-1277-3p, miR-6718-5p, miR-1251-5p, and miR-486-5p). The results of the Kaplan-Meier survival analysis revealed that the prognosis of KIRC sufferers in the high-risk group was often unsatisfactory. The accuracy of the prediction ability of the risk signature was verified by calculating the area under the ROC curve. Univariate-multivariate Cox analyses further showed that this risk signature could be utilized as an independent prognosis-related biomarker for KIRC sufferers. The results of the immune analysis revealed that remarkable diversities existed in immune status and tumor microenvironment between high-risk and low-risk groups. On the foundation of the proposed risk signature and other clinical factors, a nomogram was established to quantitatively forecast the survival of KIRC sufferers at 1, 3 and 5 years.Conclusion: Based on m7G-related miRNAs, a risk signature was successfully constructed, which could precisely forecast the prognosis of sufferers and guide personalized immunotherapy for KIRC patients. |
| first_indexed | 2024-12-12T06:11:26Z |
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| institution | Directory Open Access Journal |
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| publishDate | 2022-06-01 |
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| spelling | doaj.art-648f2927ff8248758b3e35b29c20d7db2022-12-22T00:35:08ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-06-011310.3389/fgene.2022.922358922358A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell CarcinomaPeng Hong0Huifang Du1Ming Tong2Qingfei Cao3Ding Hu4Jiaji Ma5Yanyang Jin6Zizhi Li7Weichao Huang8Guangquan Tong9Department of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaAffiliated First Hospital, Nanchang University, Nanchang, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaDepartment of Urology, The First Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, ChinaBackground: M7G modification is extremely vital for the development of many cancers, especially tumor immunity. M7G modification is a novel functional regulator of miRNA, and the researches on m7G-related miRNAs in kidney renal clear cell carcinoma (KIRC) are still insufficient. This research aims to establish a risk signature on the foundation of m7G-associated miRNAs, which can precisely forecast the prognosis of KIRC patients.Methods: Transcriptome data and clinical data used in this study come from The Cancer Genome Atlas database. Our team utilized univariable Cox, Lasso and multivariable Cox analyses to construct a m7G-associated miRNAs risk signature that can forecast the prognosis of KIRC patients. Kaplan-Meier method, time-dependent receiver operating characteristic (ROC) curve, and the independent analysis of risk signatures were employed to verify the predictability and accuracy of the risk signature. Subsequently, based on CIBERSORT, ESTIMATE and ssGSEA algorithms, we speculated the potential impact of the proposed risk signature on tumor immune microenvironment. Ultimately, by virtue of the risk signature and tumor immunity, the hub genes affecting the prognosis of KIRC patients were screened out.Results: Our team established and verified a prognostic signature comprising 7 m7G-associated miRNAs (miR-342-3p, miR-221-3p, miR-222-3p, miR-1277-3p, miR-6718-5p, miR-1251-5p, and miR-486-5p). The results of the Kaplan-Meier survival analysis revealed that the prognosis of KIRC sufferers in the high-risk group was often unsatisfactory. The accuracy of the prediction ability of the risk signature was verified by calculating the area under the ROC curve. Univariate-multivariate Cox analyses further showed that this risk signature could be utilized as an independent prognosis-related biomarker for KIRC sufferers. The results of the immune analysis revealed that remarkable diversities existed in immune status and tumor microenvironment between high-risk and low-risk groups. On the foundation of the proposed risk signature and other clinical factors, a nomogram was established to quantitatively forecast the survival of KIRC sufferers at 1, 3 and 5 years.Conclusion: Based on m7G-related miRNAs, a risk signature was successfully constructed, which could precisely forecast the prognosis of sufferers and guide personalized immunotherapy for KIRC patients.https://www.frontiersin.org/articles/10.3389/fgene.2022.922358/fullkidney renal clear cell carcinomaprognostic signaturem7GmicroRNAtumor immune microenvironmentThe Cancer Genome Atlas |
| spellingShingle | Peng Hong Huifang Du Ming Tong Qingfei Cao Ding Hu Jiaji Ma Yanyang Jin Zizhi Li Weichao Huang Guangquan Tong A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma Frontiers in Genetics kidney renal clear cell carcinoma prognostic signature m7G microRNA tumor immune microenvironment The Cancer Genome Atlas |
| title | A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma |
| title_full | A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma |
| title_fullStr | A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma |
| title_full_unstemmed | A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma |
| title_short | A Novel M7G-Related MicroRNAs Risk Signature Predicts the Prognosis and Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma |
| title_sort | novel m7g related micrornas risk signature predicts the prognosis and tumor microenvironment of kidney renal clear cell carcinoma |
| topic | kidney renal clear cell carcinoma prognostic signature m7G microRNA tumor immune microenvironment The Cancer Genome Atlas |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.922358/full |
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