Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
BackgroundAlmost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with the development of KIRC. The aim of our present st...
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| Format: | Article |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.851312/full |
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| author | Xiao-Liang Xing Xiao-Liang Xing Yan Liu Jiheng Liu Huanfa Zhou Huirong Zhang Qi Zuo Ping Bu Tong Duan Yan Zhou Zhiquan Xiao |
| author_facet | Xiao-Liang Xing Xiao-Liang Xing Yan Liu Jiheng Liu Huanfa Zhou Huirong Zhang Qi Zuo Ping Bu Tong Duan Yan Zhou Zhiquan Xiao |
| author_sort | Xiao-Liang Xing |
| collection | DOAJ |
| description | BackgroundAlmost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with the development of KIRC. The aim of our present study was to identify suitable ferroptosis- and immune-related (FI) biomarkers correlated with aberrant methylations to improve the prognosis and diagnosis of KIRC.MethodsChAMP and DESeq2 in R (3.6.2) were used to screen the differentially expressed methylation probes and differentially expressed genes, respectively. Univariate and multivariate Cox regression were used to identify the overall survival (OS)–related biomarkers.ResultsWe finally identified five FI biomarkers (CCR4, CMTM3, IFITM1, MX2, and NR3C2) that were independently correlated with the OS of KIRC. The area under the curve value of the receiver operating characteristic value of prognosis model was 0.74, 0.68, and 0.72 in the training, validation, and entire cohorts, respectively. The sensitivity and specificity of the diagnosis model were 0.8698 and 0.9722, respectively. In addition, the prognosis model was also significantly correlated with several immune cells and factors.ConclusionOur present study suggested that these five FI-DEGs (CCR4, CMTM3, IFITM1, MX2, and NR3C2) could be used as prognosis and diagnosis biomarkers for patients with KIRC, but further cross-validation clinical studies are still needed to confirm them. |
| first_indexed | 2024-12-12T02:53:48Z |
| format | Article |
| id | doaj.art-b7c2c87926264fa7bea1d98a1965ced5 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-12-12T02:53:48Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-b7c2c87926264fa7bea1d98a1965ced52022-12-22T00:40:49ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-05-011310.3389/fimmu.2022.851312851312Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell CarcinomaXiao-Liang Xing0Xiao-Liang Xing1Yan Liu2Jiheng Liu3Huanfa Zhou4Huirong Zhang5Qi Zuo6Ping Bu7Tong Duan8Yan Zhou9Zhiquan Xiao10Department of General Medicine, University of South China affiliated Changsha Central Hospital, Changsha, ChinaSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, ChinaDepartment of General Medicine, University of South China affiliated Changsha Central Hospital, Changsha, ChinaDepartment of Emergency, First Hospital of Changsha, Changsha, ChinaDepartment of General Medicine, University of South China affiliated Changsha Central Hospital, Changsha, ChinaDepartment of General Medicine, University of South China affiliated Changsha Central Hospital, Changsha, ChinaDepartment of Emergency, First Hospital of Changsha, Changsha, ChinaDepartment of General Medicine, University of South China affiliated Changsha Central Hospital, Changsha, ChinaDepartment of Emergency, First Hospital of Changsha, Changsha, ChinaDepartment of Emergency, First Hospital of Changsha, Changsha, ChinaDepartment of General Medicine, University of South China affiliated Changsha Central Hospital, Changsha, ChinaBackgroundAlmost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with the development of KIRC. The aim of our present study was to identify suitable ferroptosis- and immune-related (FI) biomarkers correlated with aberrant methylations to improve the prognosis and diagnosis of KIRC.MethodsChAMP and DESeq2 in R (3.6.2) were used to screen the differentially expressed methylation probes and differentially expressed genes, respectively. Univariate and multivariate Cox regression were used to identify the overall survival (OS)–related biomarkers.ResultsWe finally identified five FI biomarkers (CCR4, CMTM3, IFITM1, MX2, and NR3C2) that were independently correlated with the OS of KIRC. The area under the curve value of the receiver operating characteristic value of prognosis model was 0.74, 0.68, and 0.72 in the training, validation, and entire cohorts, respectively. The sensitivity and specificity of the diagnosis model were 0.8698 and 0.9722, respectively. In addition, the prognosis model was also significantly correlated with several immune cells and factors.ConclusionOur present study suggested that these five FI-DEGs (CCR4, CMTM3, IFITM1, MX2, and NR3C2) could be used as prognosis and diagnosis biomarkers for patients with KIRC, but further cross-validation clinical studies are still needed to confirm them.https://www.frontiersin.org/articles/10.3389/fimmu.2022.851312/fullKIRCmethylationferroptosisimmuneprognosisdiagnosis |
| spellingShingle | Xiao-Liang Xing Xiao-Liang Xing Yan Liu Jiheng Liu Huanfa Zhou Huirong Zhang Qi Zuo Ping Bu Tong Duan Yan Zhou Zhiquan Xiao Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma Frontiers in Immunology KIRC methylation ferroptosis immune prognosis diagnosis |
| title | Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma |
| title_full | Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma |
| title_fullStr | Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma |
| title_full_unstemmed | Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma |
| title_short | Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma |
| title_sort | comprehensive analysis of ferroptosis and immune related signatures to improve the prognosis and diagnosis of kidney renal clear cell carcinoma |
| topic | KIRC methylation ferroptosis immune prognosis diagnosis |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.851312/full |
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