Yiyang Chen, Xiaowen Qin, Li Sun, Pu Zhang, Zhenghong Liu, Bin Zheng, Yixuan Mou, Haichang Li, Heng Wang, Dahong Zhang
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引用次数: 0
Abstract
Renal clear cell carcinoma is the most common histological form of renal cancer, but targeted therapy is still lacking. PSTPIP1 is associated with multiple immune-related pathways and is higher expressed in tumors. Thus, the correlation of PSTPIP1 and ccRCC (clear cell renal cell carcinoma) was studied to evaluate the therapeutic potential of PSTPIP1 as a target for tackling ccRCC. The expression of PSTPIP1 mRNA in clear cell renal cell carcinoma (ccRCC) was analyzed using the Oncomine, TCGA, UALCAN, GSCA, and GEPIA databases and analysis tools. Immunohistochemistry (IHC) was utilized to detect PSTPIP1 protein in clinical samples, and the chi-square test, univariate analysis and multivariate analysis were utilized to verify the relationship between PSTPIP1 and ccRCC. Co-expressed genes and enriched pathways were obtained from the TCGA and GSEA (Gene Set Enrichment Analysis) database and analysis tool. A protein-protein interaction network was constructed to support mechanism analysis. PSTPIP1 expression was significantly elevated in ccRCC tissues compared with normal renal tissues. PSTPIP1 expression levels showed significant correlations with tumor size, TNM stage, and PD-L1 status. Overexpression of PSTPIP1 was closely associated with patient survival, with high PSTPIP1 expression serving as a prognostic factor for reduced overall survival in ccRCC patients. Our findings indicate that high expression of PSTPIP1 is a predictor of poor prognosis in ccRCC patients, suggesting this protein may represent a potential therapeutic target for ccRCC treatment.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.