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

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...

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Autores principales: Song, Feifeng, Zhang, Yiwen, Pan, Zongfu, Hu, Xiaoping, Yi, Yaodong, Zheng, Xiaochun, Wei, Haibin, Huang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547030/
https://www.ncbi.nlm.nih.gov/pubmed/34696780
http://dx.doi.org/10.1186/s12935-021-02258-3
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author Song, Feifeng
Zhang, Yiwen
Pan, Zongfu
Hu, Xiaoping
Yi, Yaodong
Zheng, Xiaochun
Wei, Haibin
Huang, Ping
author_facet Song, Feifeng
Zhang, Yiwen
Pan, Zongfu
Hu, Xiaoping
Yi, Yaodong
Zheng, Xiaochun
Wei, Haibin
Huang, Ping
author_sort Song, Feifeng
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02258-3.
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spelling pubmed-85470302021-10-26 Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation Song, Feifeng Zhang, Yiwen Pan, Zongfu Hu, Xiaoping Yi, Yaodong Zheng, Xiaochun Wei, Haibin Huang, Ping Cancer Cell Int Primary Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02258-3. BioMed Central 2021-10-25 /pmc/articles/PMC8547030/ /pubmed/34696780 http://dx.doi.org/10.1186/s12935-021-02258-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Song, Feifeng
Zhang, Yiwen
Pan, Zongfu
Hu, Xiaoping
Yi, Yaodong
Zheng, Xiaochun
Wei, Haibin
Huang, Ping
Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
title Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
title_full Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
title_fullStr Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
title_full_unstemmed Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
title_short Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
title_sort identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547030/
https://www.ncbi.nlm.nih.gov/pubmed/34696780
http://dx.doi.org/10.1186/s12935-021-02258-3
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