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Identification of Critical Pathways and Hub Genes in LanCL1-Overexpressed Prostate Cancer Cells

Authors Tang R, Wu Z, Lu F, Wang C, Wu B, Wang J, Zhu Y

Received 8 March 2020

Accepted for publication 15 July 2020

Published 3 August 2020 Volume 2020:13 Pages 7653—7664

DOI https://doi.org/10.2147/OTT.S252958

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Leo Jen-Liang Su


Run Tang1 ,* Zeming Wu1 ,* Feng Lu,1 Cheng Wang,1 Bo Wu,1 Jianqing Wang,2 Yingxiang Zhu1

1Department of Urology, The People’s Hospital of Suzhou New District, Suzhou, Jiangsu, People’s Republic of China; 2Department of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Yingxiang Zhu Email trian123@126.com
Jianqing Wang Email jqwang14@fudan.edu.cn

Background: Prostate cancer is one of the most common malignancies in urology, especially in developed countries. Our previous studies showed that Lanthionine synthase C-like protein 1 (LanCL1) can promote the proliferation of prostate cancer cells and protect cells from oxidative stress. Also, LanCL1 protects cells by inhibiting the JNK signaling pathway after H2O2 treatment.
Materials and Methods: In our study, we analyzed the data of RNA-seq to identify the DEGs after LanCL1 overexpression. We performed a functional enrichment analysis with gene set enrichment analysis (GSEA) and a database for annotation, visualization, and integrated discovery (DAVID). We also identified the critical hub gene correlated with disease prognosis by Cox regression analysis.
Results: A total of 8928 DEGs were identified. Through the analysis of GO and KEGG, we found that DEGs are significantly enriched in categories related to metabolism, cancer-related signaling pathways, and inflammation. The top 15 hub genes were then identified and ranked by degree from the protein–protein interaction network. Survival analysis showed 4 hub genes related to disease prognosis and ICAM1 expression is an independent risk factor for the prognosis.
Conclusion: Our results suggest the critical genes and pathways that might play key roles after LanCL1 overexpression in prostate cancer. We also provide candidate gene targets that might play important roles in prostate cancer development.

Keywords: prostate cancer, RNA sequencing, LanCL1

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