Renfang Xu

Renfang Xu

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 February 2017 in Oncotarget
Verified
Journal Article
Open access
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ZCZhen Chen
Zhen Chen
YSYingjie Shao
Yingjie Shao
HYHongwei Yao
Hongwei Yao
QZQianfeng Zhuang
Qianfeng Zhuang
KWKun Wang
Kun Wang
RXRenfang Xu
Renfang Xu
Preoperative albumin to globulin ratio predicts survival in clear cell renal cell carcinoma patients

30 September 2019 in International Urology and Nephrology
Verified
Journal Article
Closed access
PDF file
CCCheng Chen
Cheng Chen
JSJie Shen
Jie Shen
ZXZhaoyu Xing
Zhaoyu Xing
CJChangchuan Jiang
Changchuan Jiang
LHLinkun Hu
Linkun Hu
RXRenfang Xu
Renfang Xu

3 June 2021 in Immunity, Inflammation and Disease
Verified
Journal Article
Open access
PDF file
KWKun Wang
Kun Wang
HDHuaping Du
Huaping Du
QZQianfeng Zhuang
Qianfeng Zhuang
HLHao Lu
Hao Lu
RXRenfang Xu
Renfang Xu
DXdong xue
dong xue
Background: In the present study, we aimed to explore whether common genetic targets or signaling pathways existed in chemical cystitis.Methods: Gene Expression Omnibus (GEO) database was used to search the related gene expression profiles. The differentially expressed genes (DEGs) were identified by using GEO2R. The DAVID 6.8 Beta and R software were used to perform Kyoto Encyclopedia of Genes and Genomes pathway analysis and Gene Ontology function analysis of DEGs. The protein‐protein interaction network was constructed by STRING 11.0 to reveal the potential gene interactions. The expression of cyclin‐dependent kinase 1 (Cdk1) at the messnger RNA (mRNA) and protein levels was examined by real‐time polymerase chain reaction (PCR) and Western blot analysis analysis, respectively.Results: The GEO database was searched, and the gene expression profiles of GSE55986 and GSE68539 were downloaded. A total of 262 DEGs and 356 DEGs were identified from GSE55986 and GSE68539, respectively. We found that the p53 signaling pathway might play a key role in the development of chemical cystitis, and Cdk1 acted as a crucial gene in the p53 signaling pathway. Moreover, the experimental results of real‐time PCR and Western blot analysis analysis demonstrated that the expression of Cdk1 at the mRNA and protein levels in cystitis tissues was significantly increased in different animal models of chemical cystitis compared with the control group.Conclusion: Cdk1 might be a potential pathogenic genetic target for chemical cystitis.