دورية أكاديمية
Prognostic Model and Immune Response of Clear Cell Renal Cell Carcinoma Based on Co-Expression Genes Signature.
| العنوان: | Prognostic Model and Immune Response of Clear Cell Renal Cell Carcinoma Based on Co-Expression Genes Signature. |
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| المؤلفون: | Yang D; Department of Nephrology, Houjie Hospital of Dongguan, No.21 Hetian Road, Houjie Town, Dongguan, 523000, China; Department of Nephrology, Dongguan Tungwah Hospital, Dongguan, China. Electronic address: 541045815@qq.com. |
| المصدر: | Clinical genitourinary cancer [Clin Genitourin Cancer] 2024 Jul 18, pp. 102167. Date of Electronic Publication: 2024 Jul 18. |
| Publication Model: | Ahead of Print |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 101260955 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1938-0682 (Electronic) Linking ISSN: 15587673 NLM ISO Abbreviation: Clin Genitourin Cancer Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: <2009-> : [New York] : Elsevier Original Publication: Dallas, Tex. : Cancer Information Group, c2005- |
| مستخلص: | Background: The identification of reliable prognostic markers is crucial for optimizing patient management and improving clinical outcomes in clear cell renal cell carcinoma (ccRCC). Methods: We used the GSE89563 dataset from the GEO database and the Kidney Clear Cell Carcinoma (KIRC) dataset from the TCGA database to develop a prognostic model based on weighted gene co-expression network analysis (WGCNA) and non-negative matrix factorization (NMF) to predict disease progression and prognosis in ccRCC. Result: We utilized WGCNA to identify risk genes and applied NMF to stratify high-risk populations in ccRCC. We characterized the immune gene features of these high-risk groups and ultimately developed a risk prediction model for ccRCC patients using a Lasso regression approach. The risk score was calculated as follows: Risk score = SUM (-0.136394797 ANK3 + 0.004238138 BIVM_ERCC5 - 0.046248451 C4orf19 - 0.036013206 F2RL3 - 0.125531316 GNG7 - 0.012698109 METTL7A + 0.078462369 MSTO1 - 0.050450656 PINK1 - 0.059446590 SLC16A12 - 0.039883686 SLC2A9 + 0.083310722 TLCD1 - 0.059801739 WDR72 + 0.071430088 ZNF117). Conclusion: We develop a prognostic model for clear cell renal cell carcinoma and analyzed immune response in subgroups and confirmed protein-level expression concordance. Competing Interests: Disclosure Not applicable. (Copyright © 2024 Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Immune infiltration; Kidney renal clear cell carcinoma; Survival-related genes; TCGA; WGCNA |
| تواريخ الأحداث: | Date Created: 20240812 Latest Revision: 20240812 |
| رمز التحديث: | 20240813 |
| DOI: | 10.1016/j.clgc.2024.102167 |
| PMID: | 39129082 |
| قاعدة البيانات: | MEDLINE |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 1938-0682 |
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| DOI: | 10.1016/j.clgc.2024.102167 |