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- W4379932790 abstract "Abstract Clear cell renal cell carcinomas (ccRCCs) are characterized by relatively high morbidity and mortality worldwide among all types of renal carcinomas. Identifying new targets and molecular prognostic biomarkers is critical for more accurate clinical diagnosis and therapy. Glycosylation shows a great impact on the development of ccRCC and may be of great help for its prognosis. Herein, we constructed a thirteen glycosylation-related genes (GRGs) risk model. Two groups were identified by their scores and we applied survival analysis to characterize independent risk factors for prognosis. The high-risk group had a worse clinical outcome than the low-risk group. In addition, cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) expression level was in positive relation with the risk score according to the correlation analysis and drug sensitive data were evaluated by the National Cancer Institute (NCI) 60 human tumour cell line anticancer drug screen (NCI-60). Furthermore, the molecular gene cluster of ccRCC based on the glycosylation level performed well in the prognosis prediction together with immune response feature and might provide novel strategies for application in improving the performance of immune checkpoint inhibitor (ICI) treatment. In summary, our study provided a novel prediction tool for ccRCC patients with immune and clinicopathological characteristics. It could act as a risk factor and may participate in the prediction of immunotherapy." @default.
- W4379932790 created "2023-06-09" @default.
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- W4379932790 date "2023-05-30" @default.
- W4379932790 modified "2023-09-27" @default.
- W4379932790 title "A Novel Glycosylation-Related Transcriptome Panel with Immune and Clinical Value Predicts Prognosis and Drug Sensitivity in Clear Cell Renal Cell Carcinomas" @default.
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- W4379932790 doi "https://doi.org/10.21203/rs.3.rs-2978473/v1" @default.
- W4379932790 hasPublicationYear "2023" @default.
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