Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma
Kidney renal clear cell carcinoma (KIRC), a prevalent primary malignant tumor within the urinary system, is characterized by significant heterogeneity. It has been shown that ion channels are important targets for anti-tumor therapy. In this study, we screened 70 selected KIRC related ion homeostasi...
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025001161 |
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| author | Xiangmin Zhang Xiongxian Qian Yong Zhao Maofei Ye Liyang Li Jian Chu |
| author_facet | Xiangmin Zhang Xiongxian Qian Yong Zhao Maofei Ye Liyang Li Jian Chu |
| author_sort | Xiangmin Zhang |
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| description | Kidney renal clear cell carcinoma (KIRC), a prevalent primary malignant tumor within the urinary system, is characterized by significant heterogeneity. It has been shown that ion channels are important targets for anti-tumor therapy. In this study, we screened 70 selected KIRC related ion homeostasis genes with significant differential expression. We established diagnostic and prognostic models for 15 genes (PDK4, JPH4, ATP1A3, CCL7, CYP27B1, ABCB6, TNFSF11, MCHR1, TNNI3, ANGPTL3, Ednrb, SAA1, Chrna9, TMPRSS6, CCL14) by LASSO regression in the TCGA-KIRC cohort. We also provided a nomogram based on ion homeostasis for clinicians to explore the combined effect of the risk model on clinical variables. Patients in the low-risk group have a significant survival advantage. The potential clinical benefit of our predicted 15 gene signatures in clinical strategies was validated by Calibration Curves and DCA curves. Ultimately, the immune microenvironment and enrichment pathways were analyzed among individuals categorized as high-risk and low-risk. The predictable ion homeostasis-associated 15 gene signature established in this study predicts overall survival outcomes in patients with KIRC, to some extent helping clinicians to select personalized treatment regimens. |
| format | Article |
| id | doaj-art-1a8b9091ba154f25a51fc47d1a12e8f6 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-1a8b9091ba154f25a51fc47d1a12e8f62025-02-02T05:28:03ZengElsevierHeliyon2405-84402025-01-01112e41736Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinomaXiangmin Zhang0Xiongxian Qian1Yong Zhao2Maofei Ye3Liyang Li4Jian Chu5Department of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, ChinaDepartment of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, ChinaDepartment of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, ChinaDepartment of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, ChinaDepartment of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, ChinaCorresponding author.; Department of Urology, Shanghai Baoshan Luodian Hospital, Baoshan District, Shanghai, 201908, ChinaKidney renal clear cell carcinoma (KIRC), a prevalent primary malignant tumor within the urinary system, is characterized by significant heterogeneity. It has been shown that ion channels are important targets for anti-tumor therapy. In this study, we screened 70 selected KIRC related ion homeostasis genes with significant differential expression. We established diagnostic and prognostic models for 15 genes (PDK4, JPH4, ATP1A3, CCL7, CYP27B1, ABCB6, TNFSF11, MCHR1, TNNI3, ANGPTL3, Ednrb, SAA1, Chrna9, TMPRSS6, CCL14) by LASSO regression in the TCGA-KIRC cohort. We also provided a nomogram based on ion homeostasis for clinicians to explore the combined effect of the risk model on clinical variables. Patients in the low-risk group have a significant survival advantage. The potential clinical benefit of our predicted 15 gene signatures in clinical strategies was validated by Calibration Curves and DCA curves. Ultimately, the immune microenvironment and enrichment pathways were analyzed among individuals categorized as high-risk and low-risk. The predictable ion homeostasis-associated 15 gene signature established in this study predicts overall survival outcomes in patients with KIRC, to some extent helping clinicians to select personalized treatment regimens.http://www.sciencedirect.com/science/article/pii/S2405844025001161OncologyKidney renal clear cell carcinomaBioinformaticsSignature |
| spellingShingle | Xiangmin Zhang Xiongxian Qian Yong Zhao Maofei Ye Liyang Li Jian Chu Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma Heliyon Oncology Kidney renal clear cell carcinoma Bioinformatics Signature |
| title | Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma |
| title_full | Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma |
| title_fullStr | Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma |
| title_full_unstemmed | Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma |
| title_short | Identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma |
| title_sort | identification and analysis of prognostic ion homeostasis characteristics in kidney renal clear cell carcinoma |
| topic | Oncology Kidney renal clear cell carcinoma Bioinformatics Signature |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025001161 |
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