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基于生物信息学预测与验证鉴定与前列腺癌转移相关的新型关键基因

Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation.

作者信息

Song Feifeng, Zhang Yiwen, Pan Zongfu, Hu Xiaoping, Yi Yaodong, Zheng Xiaochun, Wei Haibin, Huang Ping

机构信息

Clinical Pharmacy Center, Department of Pharmacy, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.

Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, 310014, Zhejiang, China.

出版信息

Cancer Cell Int. 2021 Oct 25;21(1):559. doi: 10.1186/s12935-021-02258-3.

Abstract

BACKGROUND

Metastatic prostate cancer (PCa) is a lethal tumor. However, the molecular mechanisms underlying PCa progression have not been fully elucidated.

METHODS

Transcriptome expression profiling and clinical information on primary and metastatic PCa samples were obtained from TCGA. R software was used to screen the DEGs, and LASSO logistical regression method was utilized to identify the pivotal PCa metastasis-related DEGs. The transcriptional expression levels of the key genes were analyzed using the UALCAN database, and the corresponding protein expression were validated by Immunohistochemistry (IHC). Survival analysis of the key genes was performed using the GEPIA database. Wound healing assay and Transwell assay were conducted to determine whether knockdown of the key genes influence the migration and invasion abilities of PCa cells (22Rv1 and PC3). GSEA was performed to predict key genes-mediated signaling pathways for the development of PCa. Western blotting was used to evaluate the expression changes of E-cadherin, Twist1, and Vimentin in PCa cells with the key genes silencing. An in vivo mouse metastatic model for PCa was also generated to verify the important role of ISG15 and CST2 in PCa metastasis.

RESULTS

A comparison between primary and metastatic PCa tissues was conducted, and 19 DEGs were screened. Among these, three key genes were identified that might be closely associated with PCa progression according to the LASSO logistical analysis, namely ISG15, DNAH8, and CST2. Further functional experiments revealed that knockdown of ISG15 and CST2 suppressed wound healing, migration, and invasion of PCa cells. To explore the molecular mechanism of ISG15 and CST2 in the development of PCa, GSEA was performed, and it was found that both genes play crucial roles in cell adhesion molecules, extracellular matrix-receptor interaction, and focal adhesion. Western blotting results exhibited that inhibiting ISG15 and CST2 led to increase the expression of E-cadherin and decrease the expression of Twist1 and Vimentin. Additionally, the metastatic in vivo study demonstrated that both PC3 and 22Rv1 cells expressing with luciferase-shISG15 and luciferase-shCST2 had significantly lower detectable bioluminescence than that in the control PCa cells.

CONCLUSION

ISG15 and CST2 may participate in PCa metastasis by regulating the epithelial-mesenchymal transition (EMT) signaling pathway. These findings may help to better understand the pathogenetic mechanisms governing PCa and provide promising therapeutic targets for metastatic PCa therapy.

摘要

背景

转移性前列腺癌(PCa)是一种致命性肿瘤。然而,PCa进展的分子机制尚未完全阐明。

方法

从TCGA获取原发性和转移性PCa样本的转录组表达谱及临床信息。使用R软件筛选差异表达基因(DEGs),并采用LASSO逻辑回归方法鉴定与PCa转移相关的关键DEGs。使用UALCAN数据库分析关键基因的转录表达水平,并通过免疫组织化学(IHC)验证相应的蛋白表达。使用GEPIA数据库对关键基因进行生存分析。进行伤口愈合试验和Transwell试验,以确定敲低关键基因是否影响PCa细胞(22Rv1和PC3)的迁移和侵袭能力。进行基因集富集分析(GSEA)以预测关键基因介导的PCa发展信号通路。使用蛋白质印迹法评估关键基因沉默的PCa细胞中E-钙黏蛋白、Twist1和波形蛋白的表达变化。还建立了PCa的体内小鼠转移模型,以验证ISG15和CST2在PCa转移中的重要作用。

结果

对原发性和转移性PCa组织进行比较,筛选出19个DEGs。其中,根据LASSO逻辑分析鉴定出三个可能与PCa进展密切相关的关键基因,即ISG15、DNAH8和CST2。进一步的功能实验表明,敲低ISG15和CST2可抑制PCa细胞的伤口愈合、迁移和侵袭。为探究ISG15和CST2在PCa发展中的分子机制,进行了GSEA,发现这两个基因在细胞黏附分子、细胞外基质-受体相互作用和黏着斑中均起关键作用。蛋白质印迹结果显示,抑制ISG15和CST2导致E-钙黏蛋白表达增加,Twist1和波形蛋白表达降低。此外,体内转移研究表明,表达荧光素酶-shISG15和荧光素酶-shCST2的PC3和22Rv1细胞的可检测生物发光明显低于对照PCa细胞。

结论

ISG15和CST2可能通过调节上皮-间质转化(EMT)信号通路参与PCa转移。这些发现可能有助于更好地理解PCa的发病机制,并为转移性PCa治疗提供有前景的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b63a/8547030/9943925cd0fa/12935_2021_2258_Fig1_HTML.jpg

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