已发表论文

磷酸果糖激酶血小板在肾透明细胞癌预后中的作用及其与免疫浸润的关系

 

Authors Liu B, Li F, Liu M, Xu Z, Gao B, Wang Y, Zhou H

Received 22 May 2021

Accepted for publication 8 July 2021

Published 20 July 2021 Volume 2021:14 Pages 3645—3658

DOI https://doi.org/10.2147/IJGM.S321337

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser

Background: Abnormal expression of phosphofructokinase platelet (PFKP) has been reported in various cancer types. However, the role of PFKP in clear cell renal cell carcinoma (ccRCC) remains unclear.
Methods: In this study, the PFKP expression levels in various cancers were systemically described by integrating multiple kinds of publicly available databases. The relationship between PFKP expression and clinical prognosis of ccRCC patients was analyzed based on the TCGA database. Furthermore, PFKP-related genes and the top 10 hub genes were identified. The enrichment analysis, PPI network, and the relationship between PFKP and tumor-infiltrating immune cells were conducted to explore why PFKP was associated with clinical outcomes in ccRCC patients.
Results: PFKP was significantly highly expressed in kidney cancer, especially in ccRCC. Moreover, patients with low expression of PFKP were correlated with poor 5-year and 10-year overall survival (OS) (< 0.05). Low PFKP expression was a risk factor associated with decreased OS in subgroups including males, females, grade 3– 4, and stage III–IV (all < 0.05). GO and KEGG enrichment analyses showed that 10 hub genes were mainly enriched in the tumor immune response. Finally, PFKP expression level was highly correlated with the infiltration of B cell, CD8+ T cell, CD4+ T cell, macrophage, neutrophil, and dendritic cell.
Conclusion: In short, our findings suggested that PFKP is highly expressed in ccRCC significantly and facilitated tumor immune response which in turn associated with a good prognosis.
Keywords: phosphofructokinase platelet, clear cell renal cell carcinoma, prognosis, biological function enrichment analyses, tumor immune infiltrating cells