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CLC number: R737.25

On-line Access: 2020-03-05

Received: 2019-06-20

Revision Accepted: 2019-10-22

Crosschecked: 2020-02-03

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Ji-li Wang


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Journal of Zhejiang University SCIENCE B 2020 Vol.21 No.3 P.246-255


Identification of PTPRR and JAG1 as key genes in castration-resistant prostate cancer by integrated bioinformatics methods#

Author(s):  Ji-li Wang, Yan Wang, Guo-ping Ren

Affiliation(s):  Department of Pathology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China; more

Corresponding email(s):   gpren2002@163.com

Key Words:  Bioinformatics, Protein tyrosine phosphatase receptor-type R (PTPRR), Jagged1 (JAG1), Differentially expressed genes (DEGs), Castration-resistant prostate cancer (CRPC), Functional enrichment

Ji-li Wang, Yan Wang, Guo-ping Ren. Identification of PTPRR and JAG1 as key genes in castration-resistant prostate cancer by integrated bioinformatics methods#[J]. Journal of Zhejiang University Science B, 2020, 21(3): 246-255.

@article{title="Identification of PTPRR and JAG1 as key genes in castration-resistant prostate cancer by integrated bioinformatics methods#",
author="Ji-li Wang, Yan Wang, Guo-ping Ren",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Identification of PTPRR and JAG1 as key genes in castration-resistant prostate cancer by integrated bioinformatics methods#
%A Ji-li Wang
%A Yan Wang
%A Guo-ping Ren
%J Journal of Zhejiang University SCIENCE B
%V 21
%N 3
%P 246-255
%@ 1673-1581
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1900329

T1 - Identification of PTPRR and JAG1 as key genes in castration-resistant prostate cancer by integrated bioinformatics methods#
A1 - Ji-li Wang
A1 - Yan Wang
A1 - Guo-ping Ren
J0 - Journal of Zhejiang University Science B
VL - 21
IS - 3
SP - 246
EP - 255
%@ 1673-1581
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1900329

To identify novel genes in castration-resistant prostate cancer (CRPC), we downloaded three microarray datasets containing CRPC and primary prostate cancer in Gene Expression Omnibus (GEO). R packages affy and limma were performed to identify differentially expressed genes (DEGs) between primary prostate cancer and CRPC. After that, we performed functional enrichment analysis including gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway. In addition, protein–protein interaction (PPI) analysis was used to search for hub genes. Finally, to validate the significance of these genes, we performed survival analysis. As a result, we identified 53 upregulated genes and 58 downregulated genes that changed in at least two datasets. functional enrichment analysis showed significant changes in the positive regulation of osteoblast differentiation pathway and aldosterone-regulated sodium reabsorption pathway. PPI network identified hub genes like cortactin-binding protein 2 (CTTNBP2), Rho family guanosine triphosphatase (GTPase) 3 (RND3), protein tyrosine phosphatase receptor-type R (PTPRR), jagged1 (JAG1), and lumican (LUM). Based on PPI network analysis and functional enrichment analysis, we identified two genes (PTPRR and JAG1) as key genes. Further survival analysis indicated a relationship between high expression of the two genes and poor prognosis of prostate cancer. In conclusion, PTPRR and JAG1 are key genes in the CRPC, which may serve as promising biomarkers of diagnosis and prognosis of CRPC.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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[42]List of electronic supplementary materials

[43]Table S1 Clinical characteristics of samples in this study

[44]Fig. S1 Expression of the PTPRR in Grasso PCa

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