Diagnostic and Immunotherapeutic Value of CD248 in Renal Cell Carcinoma

Research Square (Research Square)(2020)

引用 0|浏览1
暂无评分
摘要
Background: Renal cell carcinoma (RCC) is the most common malignancy in urinary system. Despite substantial improvements in available treatments, survival outcome of advanced RCC is unsatisfied. Identifying novel biomarker to assist early diagnosis and screen immunotherapy sensitive patients would be beneficial. CD248 is a promising candidate that deserves to be investigated. Methods: The Cancer Genome Atlas (TCGA) dataset and clinical specimen were adopted to analyze CD248 expression between normal and tumor tissues. Univariate and multivariate Cox regression analysis was employed to identify independent prognostic factors and construct a CD248-based prognostic signature. The correlation among present signature, tumor infiltrating immune cells, tumor mutation burden (TMB), and immunomodulatory molecules were evaluated. Weighted gene co-expression network analysis (WGCNA) and enrichment analysis was performed to explore the underlying mechanism of CD248 in RCC progression. Results: CD248 overexpressed in RCC was related with a poor prognosis, and CD248-based prognostic signature could precisely stratify RCC patients with different survival outcomes regardless of training or testing cohort. Present signature could reflect immunosuppressive landscape of RCC (i.e. increased regulatory T cells infiltration and upregulated immune checkpoints), which accompanied with deteriorated clinicopathologic indexes. TMB and immunostimulatory molecules expression also increased with the risk score generated from present signature. CD248 co-expressed gene sets were identified through WGCNA algorithm, and several immunosuppressive GO terms and KEGG pathways were significantly enriched. Conclusion: CD248 is a valuable biomarker to improve diagnostic and therapeutic efficiency of RCC. Immunosuppressive effect of CD248 co-expressed genes may provide insight for present study.
更多
查看译文
关键词
renal cell carcinoma,immunotherapeutic value
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要