An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma
Background: Clear cell renal cell carcinoma (ccRCC) is the most common solid lesion in the kidney. This study aims to establish an aging and senescence-related mRNA model for risk assessment and prognosis prediction in ccRCC patients.Methods: ccRCC data were obtained from The Cancer Genome Atlas (TC...
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| Format: | Article |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.871088/full |
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| author | Jiaying Li Chengpeng Gui Haohua Yao Chenggong Luo Hongde Song Haishan Lin Quanhui Xu Xu Chen Yong Huang Junhang Luo Junhang Luo Wei Chen |
| author_facet | Jiaying Li Chengpeng Gui Haohua Yao Chenggong Luo Hongde Song Haishan Lin Quanhui Xu Xu Chen Yong Huang Junhang Luo Junhang Luo Wei Chen |
| author_sort | Jiaying Li |
| collection | DOAJ |
| description | Background: Clear cell renal cell carcinoma (ccRCC) is the most common solid lesion in the kidney. This study aims to establish an aging and senescence-related mRNA model for risk assessment and prognosis prediction in ccRCC patients.Methods: ccRCC data were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets. By applying univariate Cox regression, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression, a new prognostic model based on aging and senescence-related genes (ASRGs) was established. Depending on the prognostic model, high- and low-risk groups were identified for further study. The reliability of the prediction was evaluated in the validation cohort. Pan-cancer analysis was conducted to explore the role of GNRH1 in tumors.Results: A novel prognostic model was established based on eight ASRGs. This model was an independent risk factor and significantly correlated with the prognosis and clinicopathological features of ccRCC patients. The high- and low-risk groups exhibited distinct modes in the principal component analysis and different patterns in immune infiltration. Moreover, the nomogram combining risk score and other clinical factors showed excellent predictive ability, with AUC values for predicting 1-, 3-, and 5-year overall survival in the TCGA cohort equal to 0.88, 0.82, and 0.81, respectively.Conclusion: The model and nomogram based on the eight ASRGs had a significant value for survival prediction and risk assessment for ccRCC patients, providing new insights into the roles of aging and senescence in ccRCC. |
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| language | English |
| last_indexed | 2024-04-14T00:54:31Z |
| publishDate | 2022-05-01 |
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| series | Frontiers in Genetics |
| spelling | doaj.art-60e00a3653a747bc938d815eacba7f4f2022-12-22T02:21:39ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-05-011310.3389/fgene.2022.871088871088An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell CarcinomaJiaying Li0Chengpeng Gui1Haohua Yao2Chenggong Luo3Hongde Song4Haishan Lin5Quanhui Xu6Xu Chen7Yong Huang8Junhang Luo9Junhang Luo10Wei Chen11Department of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaInstitute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaBackground: Clear cell renal cell carcinoma (ccRCC) is the most common solid lesion in the kidney. This study aims to establish an aging and senescence-related mRNA model for risk assessment and prognosis prediction in ccRCC patients.Methods: ccRCC data were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets. By applying univariate Cox regression, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression, a new prognostic model based on aging and senescence-related genes (ASRGs) was established. Depending on the prognostic model, high- and low-risk groups were identified for further study. The reliability of the prediction was evaluated in the validation cohort. Pan-cancer analysis was conducted to explore the role of GNRH1 in tumors.Results: A novel prognostic model was established based on eight ASRGs. This model was an independent risk factor and significantly correlated with the prognosis and clinicopathological features of ccRCC patients. The high- and low-risk groups exhibited distinct modes in the principal component analysis and different patterns in immune infiltration. Moreover, the nomogram combining risk score and other clinical factors showed excellent predictive ability, with AUC values for predicting 1-, 3-, and 5-year overall survival in the TCGA cohort equal to 0.88, 0.82, and 0.81, respectively.Conclusion: The model and nomogram based on the eight ASRGs had a significant value for survival prediction and risk assessment for ccRCC patients, providing new insights into the roles of aging and senescence in ccRCC.https://www.frontiersin.org/articles/10.3389/fgene.2022.871088/fullagingsenescenceclear cell renal cell carcinomaThe Cancer Genome AtlasmRNAsprognostic model |
| spellingShingle | Jiaying Li Chengpeng Gui Haohua Yao Chenggong Luo Hongde Song Haishan Lin Quanhui Xu Xu Chen Yong Huang Junhang Luo Junhang Luo Wei Chen An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma Frontiers in Genetics aging senescence clear cell renal cell carcinoma The Cancer Genome Atlas mRNAs prognostic model |
| title | An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma |
| title_full | An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma |
| title_fullStr | An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma |
| title_full_unstemmed | An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma |
| title_short | An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma |
| title_sort | aging and senescence related gene signature for prognosis prediction in clear cell renal cell carcinoma |
| topic | aging senescence clear cell renal cell carcinoma The Cancer Genome Atlas mRNAs prognostic model |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.871088/full |
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