Microarray based analysis of gene regulation by mesenchymal stem cells in breast cancer
Identifieur interne : 003118 ( Pmc/Curation ); précédent : 003117; suivant : 003119Microarray based analysis of gene regulation by mesenchymal stem cells in breast cancer
Auteurs : Ming Zhang [République populaire de Chine] ; Chang E. Gao [République populaire de Chine] ; Wen Hui Li [République populaire de Chine] ; Yi Yang [République populaire de Chine] ; Li Chang [République populaire de Chine] ; Jian Dong [République populaire de Chine] ; Yan Xin Ren [République populaire de Chine] ; De Dian Chen [République populaire de Chine]Source :
- Oncology Letters [ 1792-1074 ] ; 2017.
Abstract
Breast cancer is one of the most common malignant tumors with a high case-fatality rate among women. The present study aimed to investigate the effects of mesenchymal stem cells (MSCs) on breast cancer by exploring the potential underlying molecular mechanisms. The expression profile of GSE43306, which refers to MDA-MB-231 cells with or without a 1:1 ratio of MSCs, was downloaded from Gene Expression Omnibus database for differentially expressed gene (DEG) screening. The Database for Annotation, Visualization and Integrated Discovery was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs. The protein-protein interactional (PPI) network of DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. The data was subsequently analyzed using molecular complex detection for sub-network mining of modules. Finally, DEGs in modules were analyzed using GO and KEGG pathway enrichment analyses. A total of 291 DEGs including 193 upregulated and 98 downregulated DEGs were obtained. Upregulated DEGs were primarily enriched in pathways including response to wounding (P=5.92×10−7), inflammatory response (P=5.92×10−4) and defense response (P=1.20×10−2), whereas downregulated DEGs were enriched in pathways including the cell cycle (P=7.13×10−4), mitotic cell cycle (P=6.81×10−3) and M phase (P=1.72 ×10−2). The PPI network, which contained 156 nodes and 289 edges, was constructed, and Fos was the hub node with the degree of 29. A total of 3 modules were mined from the PPI network. In total, 14 DEGs in module A were primarily enriched in GO terms, including response to wounding (P=4.77×10−6), wounding healing (P=6.25×10−7) and coagulation (P=1.13 ×10−7), and these DEGs were also enriched in 1 KEGG pathway (complement and coagulation cascades; P=0.0036). Therefore, MSCs were demonstrated to exhibit potentially beneficial effects for breast cancer therapy. In addition, the screened DEGs, particularly in PPI network modules, including FN1, CD44, NGF, SERPINE1 and CCNA2, may be the potential target genes of MSC therapy for breast cancer.
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DOI: 10.3892/ol.2017.5776
PubMed: 28454465
PubMed Central: 5403575
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Gao</name><affiliation wicri:level="1"><nlm:aff id="af2-ol-0-0-5776">Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032</wicri:regionArea></affiliation></author><author><name sortKey="Li, Wen Hui" sort="Li, Wen Hui" uniqKey="Li W" first="Wen Hui" last="Li">Wen Hui Li</name><affiliation wicri:level="1"><nlm:aff id="af1-ol-0-0-5776">Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. 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China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author><author><name sortKey="Gao, Chang E" sort="Gao, Chang E" uniqKey="Gao C" first="Chang E." last="Gao">Chang E. Gao</name><affiliation wicri:level="1"><nlm:aff id="af2-ol-0-0-5776">Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. 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China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author><author><name sortKey="Yang, Yi" sort="Yang, Yi" uniqKey="Yang Y" first="Yi" last="Yang">Yi Yang</name><affiliation wicri:level="1"><nlm:aff id="af1-ol-0-0-5776">Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author><author><name sortKey="Chang, Li" sort="Chang, Li" uniqKey="Chang L" first="Li" last="Chang">Li Chang</name><affiliation wicri:level="1"><nlm:aff id="af1-ol-0-0-5776">Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author><author><name sortKey="Dong, Jian" sort="Dong, Jian" uniqKey="Dong J" first="Jian" last="Dong">Jian Dong</name><affiliation wicri:level="1"><nlm:aff id="af3-ol-0-0-5776">Institute of Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Institute of Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author><author><name sortKey="Ren, Yan Xin" sort="Ren, Yan Xin" uniqKey="Ren Y" first="Yan Xin" last="Ren">Yan Xin Ren</name><affiliation wicri:level="1"><nlm:aff id="af4-ol-0-0-5776">Department of Head and Neck Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Head and Neck Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author><author><name sortKey="Chen, De Dian" sort="Chen, De Dian" uniqKey="Chen D" first="De Dian" last="Chen">De Dian Chen</name><affiliation wicri:level="1"><nlm:aff id="af5-ol-0-0-5776">Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118</wicri:regionArea></affiliation></author></analytic><series><title level="j">Oncology Letters</title><idno type="ISSN">1792-1074</idno><idno type="eISSN">1792-1082</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Breast cancer is one of the most common malignant tumors with a high case-fatality rate among women. The present study aimed to investigate the effects of mesenchymal stem cells (MSCs) on breast cancer by exploring the potential underlying molecular mechanisms. The expression profile of GSE43306, which refers to MDA-MB-231 cells with or without a 1:1 ratio of MSCs, was downloaded from Gene Expression Omnibus database for differentially expressed gene (DEG) screening. The Database for Annotation, Visualization and Integrated Discovery was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs. The protein-protein interactional (PPI) network of DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. The data was subsequently analyzed using molecular complex detection for sub-network mining of modules. Finally, DEGs in modules were analyzed using GO and KEGG pathway enrichment analyses. A total of 291 DEGs including 193 upregulated and 98 downregulated DEGs were obtained. Upregulated DEGs were primarily enriched in pathways including response to wounding (P=5.92×10<sup>−7</sup>), inflammatory response (P=5.92×10<sup>−4</sup>) and defense response (P=1.20×10<sup>−2</sup>), whereas downregulated DEGs were enriched in pathways including the cell cycle (P=7.13×10<sup>−4</sup>), mitotic cell cycle (P=6.81×10<sup>−3</sup>) and M phase (P=1.72 ×10<sup>−2</sup>). The PPI network, which contained 156 nodes and 289 edges, was constructed, and Fos was the hub node with the degree of 29. A total of 3 modules were mined from the PPI network. In total, 14 DEGs in module A were primarily enriched in GO terms, including response to wounding (P=4.77×10<sup>−6</sup>), wounding healing (P=6.25×10<sup>−7</sup>) and coagulation (P=1.13 ×10<sup>−7</sup>), and these DEGs were also enriched in 1 KEGG pathway (complement and coagulation cascades; P=0.0036). Therefore, MSCs were demonstrated to exhibit potentially beneficial effects for breast cancer therapy. In addition, the screened DEGs, particularly in PPI network modules, including FN1, CD44, NGF, SERPINE1 and CCNA2, may be the potential target genes of MSC therapy for breast cancer.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Oncol Lett</journal-id><journal-id journal-id-type="iso-abbrev">Oncol Lett</journal-id><journal-id journal-id-type="publisher-id">OL</journal-id><journal-title-group><journal-title>Oncology Letters</journal-title></journal-title-group><issn pub-type="ppub">1792-1074</issn><issn pub-type="epub">1792-1082</issn><publisher><publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">28454465</article-id><article-id pub-id-type="pmc">5403575</article-id><article-id pub-id-type="doi">10.3892/ol.2017.5776</article-id><article-id pub-id-type="publisher-id">OL-0-0-5776</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group></article-categories><title-group><article-title>Microarray based analysis of gene regulation by mesenchymal stem cells in breast cancer</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Ming</given-names></name><xref ref-type="aff" rid="af1-ol-0-0-5776">1</xref><xref rid="fn1-ol-0-0-5776" ref-type="author-notes">*</xref></contrib><contrib contrib-type="author"><name><surname>Gao</surname><given-names>Chang E.</given-names></name><xref ref-type="aff" rid="af2-ol-0-0-5776">2</xref><xref rid="fn1-ol-0-0-5776" ref-type="author-notes">*</xref></contrib><contrib contrib-type="author"><name><surname>Li</surname><given-names>Wen Hui</given-names></name><xref ref-type="aff" rid="af1-ol-0-0-5776">1</xref></contrib><contrib contrib-type="author"><name><surname>Yang</surname><given-names>Yi</given-names></name><xref ref-type="aff" rid="af1-ol-0-0-5776">1</xref></contrib><contrib contrib-type="author"><name><surname>Chang</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="af1-ol-0-0-5776">1</xref></contrib><contrib contrib-type="author"><name><surname>Dong</surname><given-names>Jian</given-names></name><xref ref-type="aff" rid="af3-ol-0-0-5776">3</xref></contrib><contrib contrib-type="author"><name><surname>Ren</surname><given-names>Yan Xin</given-names></name><xref ref-type="aff" rid="af4-ol-0-0-5776">4</xref></contrib><contrib contrib-type="author"><name><surname>Chen</surname><given-names>De Dian</given-names></name><xref ref-type="aff" rid="af5-ol-0-0-5776">5</xref><xref rid="c1-ol-0-0-5776" ref-type="corresp"></xref></contrib></contrib-group><aff id="af1-ol-0-0-5776"><label>1</label>Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</aff><aff id="af2-ol-0-0-5776"><label>2</label>Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China</aff><aff id="af3-ol-0-0-5776"><label>3</label>Institute of Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</aff><aff id="af4-ol-0-0-5776"><label>4</label>Department of Head and Neck Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</aff><aff id="af5-ol-0-0-5776"><label>5</label>Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China</aff><author-notes><corresp id="c1-ol-0-0-5776"><italic>Correspondence to</italic>: Dr De Dian Chen, Department of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, 519 Kun Zhou Road, Kunming, Yunnan 650118, P.R. China, E-mail: <email>dedianchhh@163.com</email></corresp><fn id="fn1-ol-0-0-5776"><label>*</label><p>Contributed equally</p></fn></author-notes><pub-date pub-type="ppub"><month>4</month><year>2017</year></pub-date><pub-date pub-type="epub"><day>24</day><month>2</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>24</day><month>2</month><year>2017</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on the
<volume>13</volume><issue>4</issue><fpage>2770</fpage><lpage>2776</lpage><history><date date-type="received"><day>08</day><month>7</month><year>2015</year></date><date date-type="accepted"><day>25</day><month>11</month><year>2016</year></date></history><permissions><copyright-statement>Copyright © 2017, Spandidos Publications</copyright-statement><copyright-year>2017</copyright-year></permissions><abstract><p>Breast cancer is one of the most common malignant tumors with a high case-fatality rate among women. The present study aimed to investigate the effects of mesenchymal stem cells (MSCs) on breast cancer by exploring the potential underlying molecular mechanisms. The expression profile of GSE43306, which refers to MDA-MB-231 cells with or without a 1:1 ratio of MSCs, was downloaded from Gene Expression Omnibus database for differentially expressed gene (DEG) screening. The Database for Annotation, Visualization and Integrated Discovery was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs. The protein-protein interactional (PPI) network of DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. The data was subsequently analyzed using molecular complex detection for sub-network mining of modules. Finally, DEGs in modules were analyzed using GO and KEGG pathway enrichment analyses. A total of 291 DEGs including 193 upregulated and 98 downregulated DEGs were obtained. Upregulated DEGs were primarily enriched in pathways including response to wounding (P=5.92×10<sup>−7</sup>), inflammatory response (P=5.92×10<sup>−4</sup>) and defense response (P=1.20×10<sup>−2</sup>), whereas downregulated DEGs were enriched in pathways including the cell cycle (P=7.13×10<sup>−4</sup>), mitotic cell cycle (P=6.81×10<sup>−3</sup>) and M phase (P=1.72 ×10<sup>−2</sup>). The PPI network, which contained 156 nodes and 289 edges, was constructed, and Fos was the hub node with the degree of 29. A total of 3 modules were mined from the PPI network. In total, 14 DEGs in module A were primarily enriched in GO terms, including response to wounding (P=4.77×10<sup>−6</sup>), wounding healing (P=6.25×10<sup>−7</sup>) and coagulation (P=1.13 ×10<sup>−7</sup>), and these DEGs were also enriched in 1 KEGG pathway (complement and coagulation cascades; P=0.0036). Therefore, MSCs were demonstrated to exhibit potentially beneficial effects for breast cancer therapy. In addition, the screened DEGs, particularly in PPI network modules, including FN1, CD44, NGF, SERPINE1 and CCNA2, may be the potential target genes of MSC therapy for breast cancer.</p></abstract><kwd-group><kwd>mesenchymal stem cells</kwd><kwd>breast cancer</kwd><kwd>protein-protein interaction network</kwd><kwd>beneficial effects</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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