Differential gene screening and functional analysis in docetaxel-resistant prostate cancer cell lines*

Author:

Wang Ming1,Wang Lei1,Zhang Yan1,Wang Chaoqi1,Li Shuang2,Fan Tao3

Affiliation:

1. Department of Urinary Surgery, Affiliated Hospital of Inner Mongolia University for the Nationalities, Tongliao 028007, China

2. Department of Pathology, The People’s Hospital of China Three Gorges University, The First People’s Hospital of Yichang, Yichang 443000, China

3. Department of Oncology & Hematology, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan 430015, China

Abstract

Abstract Objective Docetaxel-based combination chemotherapy has traditionally been the standard treatment for metastatic castration-resistant prostate cancer (PCa). However, most patients eventually develop resistance to this treatment, which further reduces their survival. This study aimed to determine key molecular genes in docetaxel-resistant PCa cell lines using bioinformatic approaches. Methods The analysis of microarray data GSE33455 (including DU-145/DU-145R and PC-3/PC-3R cell lines) obtained from the Gene Expression Omnibus (GEO) database was performed using GEO2R. Differentially expressed genes (DEGs) of DU-145/DU-145R and PC-3/PC-3R cell lines were selected, and the intersection of DEGs between the two groups was obtained. DEGs were annotated with the Gene Ontology (GO) function and enriched with the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway using an online platform (https://cloud.oebiotech.cn/task/detail/array_enrichment/). The online tool Search Tool for the Retrieval of Interacting Genes (https://string-db.org/) was used to obtain the DEG network graph and matrix list, which was imported into Cytoscape 3.6.1 and analyzed using the Molecular Complex Detection plug-in to detect potential functional modules in the network. Results A total of 131 intersection DEGs were identified between non-treated and docetaxel-resistant PCa cell lines. GO functional annotation showed that the main genes involved were present in the plasma membrane and were involved in positive regulation of ubiquitin-protein transferase activity, positive regulation of pseudopodium assembly, centriolar subdistal appendage, and heterophilic cell-cell adhesion via plasma membrane cell adhesion molecules. KEGG pathway enrichment analysis revealed that DEGs were mainly involved in IL-17 signaling pathway, cytokine-cytokine receptor interaction, rheumatoid arthritis, legionellosis, and folate biosynthesis. We identified two distinct hubs of DEGs: (1) CD274, C-X-C motif chemokine ligand (CXCL)1, DExD/H-box helicase 58, CXCL2, CXCL8, colony-stimulating factor 2, C-X-C motif chemokine receptor 4 (CXCR4), CXCL5, and CXCL6 and (2) argininosuccinate lyase, argininosuccinate synthase 1, and asparagine synthetase. Except for the CXCR4 gene that was downregulated, the other 11 genes showed upregulated expression. Conclusion Certain differential genes may be potential targets for predicting and treating metastatic docetaxel-resistant PCa.

Publisher

Ovid Technologies (Wolters Kluwer Health)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3