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Analyzing and Validating the Prognostic Value of a TNF-Related Signature in Kidney Renal Clear Cell Carcinoma.
Zhang, Wenhao; Li, Changjiu; Wu, Fanding; Li, Ning; Wang, Yuwei; Hu, Yixuan; Fang, Tiantian; Yuan, Hui; He, Huadong.
Affiliation
  • Zhang W; The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Li C; Department of Urology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Wu F; Department of Urology, Affiliated Hangzhou First People's Hospital, Nanjing Medical University, Hangzhou, China.
  • Li N; School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China.
  • Wang Y; Department of Urology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Hu Y; The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Fang T; Department of Urology, Affiliated Hangzhou First People's Hospital, Nanjing Medical University, Hangzhou, China.
  • Yuan H; The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • He H; The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Front Mol Biosci ; 8: 689037, 2021.
Article in En | MEDLINE | ID: mdl-34124165
Background: Kidney renal clear cell carcinoma (KIRC) has the highest incidence rate in renal cell carcinoma (RCC). Although bioinformatics is widely used in cancer, few reliable biomarkers of KIRC have been found. Therefore, continued efforts are required to elucidate the potential mechanism of the biogenesis and progression of KIRC. Methods: We evaluated the expression of tumor necrosis factor (TNF) family genes in KIRC, and constructed a prognostic signature. We validated the signature by another database and explored the relationship between the signature and progression of KIRC. We assessed the prognostic value, immune infiltration, and tumor mutation burden (TMB) of the signature in KIRC. Results: We selected four key genes (TNFSF14, TNFRSF19, TNFRSF21, and EDA) to construct the TNF-related signature. We divided the KIRC patients into high- and low-risk groups based on the signature. Patients with higher risk scores had shorter overall survival and worse prognosis. With another database, we validated the value of the signature. The signature was considered as an independent risk factor. A higher level of risk score was relevant to higher level of immune infiltration, especially T regulatory cells, CD8+ T cells, and macrophages. The signature was also associated with TMB scores, and it may have an effect on assessing the efficacy of immunotherapy. Conclusion: This is the first TNF-family-related signature of KIRC and we demonstrated its effectiveness. It played a significant role in predicting the prognosis of patients with KIRC. It also has the potential to become a powerful tool in guiding the immunotherapy of KIRC patients in clinical practice.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Mol Biosci Year: 2021 Document type: Article Affiliation country: China Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Mol Biosci Year: 2021 Document type: Article Affiliation country: China Country of publication: Suiza