A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma
Necroptosis is a regulated form of cell necroptotic process, playing a pivotal role in tumors. In renal cell cancer (RCC), inhibiting necroptosis could promote the proliferation of tumor cells. However, the molecular mechanisms and prognosis prediction of necroptotic-process-related genes in RCC are...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.922929/full |
| _version_ | 1811261708036997120 |
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| author | Jingxian Li Xun Liu Yuanjiong Qi Yang Liu E. Du Zhihong Zhang |
| author_facet | Jingxian Li Xun Liu Yuanjiong Qi Yang Liu E. Du Zhihong Zhang |
| author_sort | Jingxian Li |
| collection | DOAJ |
| description | Necroptosis is a regulated form of cell necroptotic process, playing a pivotal role in tumors. In renal cell cancer (RCC), inhibiting necroptosis could promote the proliferation of tumor cells. However, the molecular mechanisms and prognosis prediction of necroptotic-process-related genes in RCC are still unclear. In this study, we first identified the necroptotic process prognosis-related genes (NPRGss) by analyzing the kidney renal clear cell carcinoma (KIRC) data in The Cancer Genome Atlas (TCGA, n=607). We systematically analyzed the expression alteration, clinical relevance, and molecular mechanisms of NPRGss in renal clear cell carcinoma. We constructed an NPRGs risk signature utilizing the least absolute shrinkage and selection operator (LASSO) Cox regression analysis on the basis of the expression of seven NPRGss. We discovered that the overall survival (OS) of KIRC patients differed significantly in high- or low-NPRGs-risk groups. The univariate/multivariate Cox regression revealed that the NPRGs risk signature was an independent prognosis factor in RCC. The gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used to explore the molecular mechanisms of NPRGss. Immune-/metabolism-related pathways showed differential enrichment in high-/low-NPRGs-risk groups. The E-MTAB-1980, TCGA-KIRP, GSE78220, the cohort of Alexandra et al., and IMvigor210 cohort datasets were respectively used as independent validation cohorts of NPRGs risk signature. The patients in high- or low-NPRGs-risk groups showed different drug sensitivity, immune checkpoint expression, and immune therapy response. Finally, we established a nomogram based on the NPRGs risk signature, stage, grade, and age for eventual clinical translation; the nomogram possesses an accurate and stable prediction effect. The signature could predict patients’ prognosis and therapy response, which provides the foundation for further clinical therapeutic strategies for RCC patients. |
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| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-12T19:09:25Z |
| publishDate | 2022-09-01 |
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| series | Frontiers in Immunology |
| spelling | doaj.art-cb1274d155aa4c21a2b87b939c5f07882022-12-22T03:19:55ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-09-011310.3389/fimmu.2022.922929922929A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinomaJingxian LiXun LiuYuanjiong QiYang LiuE. DuZhihong ZhangNecroptosis is a regulated form of cell necroptotic process, playing a pivotal role in tumors. In renal cell cancer (RCC), inhibiting necroptosis could promote the proliferation of tumor cells. However, the molecular mechanisms and prognosis prediction of necroptotic-process-related genes in RCC are still unclear. In this study, we first identified the necroptotic process prognosis-related genes (NPRGss) by analyzing the kidney renal clear cell carcinoma (KIRC) data in The Cancer Genome Atlas (TCGA, n=607). We systematically analyzed the expression alteration, clinical relevance, and molecular mechanisms of NPRGss in renal clear cell carcinoma. We constructed an NPRGs risk signature utilizing the least absolute shrinkage and selection operator (LASSO) Cox regression analysis on the basis of the expression of seven NPRGss. We discovered that the overall survival (OS) of KIRC patients differed significantly in high- or low-NPRGs-risk groups. The univariate/multivariate Cox regression revealed that the NPRGs risk signature was an independent prognosis factor in RCC. The gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used to explore the molecular mechanisms of NPRGss. Immune-/metabolism-related pathways showed differential enrichment in high-/low-NPRGs-risk groups. The E-MTAB-1980, TCGA-KIRP, GSE78220, the cohort of Alexandra et al., and IMvigor210 cohort datasets were respectively used as independent validation cohorts of NPRGs risk signature. The patients in high- or low-NPRGs-risk groups showed different drug sensitivity, immune checkpoint expression, and immune therapy response. Finally, we established a nomogram based on the NPRGs risk signature, stage, grade, and age for eventual clinical translation; the nomogram possesses an accurate and stable prediction effect. The signature could predict patients’ prognosis and therapy response, which provides the foundation for further clinical therapeutic strategies for RCC patients.https://www.frontiersin.org/articles/10.3389/fimmu.2022.922929/fullRCCnecroptosistumor immune microenvironmentprognostic signaturesimmune therapy |
| spellingShingle | Jingxian Li Xun Liu Yuanjiong Qi Yang Liu E. Du Zhihong Zhang A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma Frontiers in Immunology RCC necroptosis tumor immune microenvironment prognostic signatures immune therapy |
| title | A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma |
| title_full | A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma |
| title_fullStr | A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma |
| title_full_unstemmed | A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma |
| title_short | A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma |
| title_sort | risk signature based on necroptotic process related genes predicts prognosis and immune therapy response in kidney cell carcinoma |
| topic | RCC necroptosis tumor immune microenvironment prognostic signatures immune therapy |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.922929/full |
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