Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma
BackgroundDespite progression in its treatment, the clinical outcome of patients with clear cell renal cell carcinoma (ccRCC) remains not ideal. Anoikis is a unique form of programmed apoptosis, owing to insufficient cell-matrix interactions. Anoikis plays a crucial role in tumor migration and invas...
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1171883/full |
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| author | Yankuo Liu Zhiyuan Shi Jianzhong Zheng Zeyuan Zheng Huimin Sun Zuodong Xuan Yang Bai Meiling Fu Yifan Du Chen Shao |
| author_facet | Yankuo Liu Zhiyuan Shi Jianzhong Zheng Zeyuan Zheng Huimin Sun Zuodong Xuan Yang Bai Meiling Fu Yifan Du Chen Shao |
| author_sort | Yankuo Liu |
| collection | DOAJ |
| description | BackgroundDespite progression in its treatment, the clinical outcome of patients with clear cell renal cell carcinoma (ccRCC) remains not ideal. Anoikis is a unique form of programmed apoptosis, owing to insufficient cell-matrix interactions. Anoikis plays a crucial role in tumor migration and invasion, and tumor cells could protect themselves through the capacity of anoikis resistance.MethodsAnoikis-related genes (ARGs) were obtained from Genecards and Harmonizome portals. The ARGs related to ccRCC prognosis were identified through univariate Cox regression analysis, then we utilized these ARGs to construct a novel prognostic model for ccRCC patients. Moreover, we explored the expression profile of ARGs in ccRCC using the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) database. We also conducted Real-Time Polymerase Chain Reaction (RT-PCR) to probe ARGs expression of the risk score. Finally, we performed correlation analysis between ARGs and tumor immune microenvironment.ResultsWe identified 17 ARGs associated with ccRCC survival, from which 7 genes were chosen to construct a prognostic model. The prognostic model was verified as an independent prognostic indicator. The expression of most ARGs was higher in ccRCC samples. These ARGs were closely correlated with immune cell infiltration and immune checkpoint members, and had independent prognostic value respectively. Functional enrichment analysis demonstrated that these ARGs were significantly associated with multiple types of malignances.ConclusionThe prognostic signature was identified to be highly efficient in predicting ccRCC prognosis, and these ARGs were closely related to tumor microenvironment. |
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| format | Article |
| id | doaj.art-822084ee51d844249573ae796fe4da5e |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-09T21:21:40Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Immunology |
| spelling | doaj.art-822084ee51d844249573ae796fe4da5e2023-03-28T05:18:11ZengFrontiers Media S.A.Frontiers in Immunology1664-32242023-03-011410.3389/fimmu.2023.11718831171883Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinomaYankuo Liu0Zhiyuan Shi1Jianzhong Zheng2Zeyuan Zheng3Huimin Sun4Zuodong Xuan5Yang Bai6Meiling Fu7Yifan Du8Chen Shao9Department of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaCentral Laboratory, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Urology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, ChinaBackgroundDespite progression in its treatment, the clinical outcome of patients with clear cell renal cell carcinoma (ccRCC) remains not ideal. Anoikis is a unique form of programmed apoptosis, owing to insufficient cell-matrix interactions. Anoikis plays a crucial role in tumor migration and invasion, and tumor cells could protect themselves through the capacity of anoikis resistance.MethodsAnoikis-related genes (ARGs) were obtained from Genecards and Harmonizome portals. The ARGs related to ccRCC prognosis were identified through univariate Cox regression analysis, then we utilized these ARGs to construct a novel prognostic model for ccRCC patients. Moreover, we explored the expression profile of ARGs in ccRCC using the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) database. We also conducted Real-Time Polymerase Chain Reaction (RT-PCR) to probe ARGs expression of the risk score. Finally, we performed correlation analysis between ARGs and tumor immune microenvironment.ResultsWe identified 17 ARGs associated with ccRCC survival, from which 7 genes were chosen to construct a prognostic model. The prognostic model was verified as an independent prognostic indicator. The expression of most ARGs was higher in ccRCC samples. These ARGs were closely correlated with immune cell infiltration and immune checkpoint members, and had independent prognostic value respectively. Functional enrichment analysis demonstrated that these ARGs were significantly associated with multiple types of malignances.ConclusionThe prognostic signature was identified to be highly efficient in predicting ccRCC prognosis, and these ARGs were closely related to tumor microenvironment.https://www.frontiersin.org/articles/10.3389/fimmu.2023.1171883/fullanoikisclear cell renal cell carcinomaprognostic modeltumor microenvironmentbioinformatics |
| spellingShingle | Yankuo Liu Zhiyuan Shi Jianzhong Zheng Zeyuan Zheng Huimin Sun Zuodong Xuan Yang Bai Meiling Fu Yifan Du Chen Shao Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma Frontiers in Immunology anoikis clear cell renal cell carcinoma prognostic model tumor microenvironment bioinformatics |
| title | Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma |
| title_full | Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma |
| title_fullStr | Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma |
| title_full_unstemmed | Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma |
| title_short | Establishment and validation of a novel anoikis-related prognostic signature of clear cell renal cell carcinoma |
| title_sort | establishment and validation of a novel anoikis related prognostic signature of clear cell renal cell carcinoma |
| topic | anoikis clear cell renal cell carcinoma prognostic model tumor microenvironment bioinformatics |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1171883/full |
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