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ZW10 interacting kinetochore protein may serve as a prognostic biomarker for human breast cancer: An integrated bioinformatics analysis
ZW10 interacting kinetochore protein (ZWINT) is an essential component for the mitotic spindle checkpoint and has been reported to be upregulated in numerous types of human cancer. Nonetheless, its role in breast cancer (BC) remains unclear. Herein, it was demonstrated that the expression of ZWINT w...
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Published in: | Oncology letters 2020-03, Vol.19 (3), p.2163-2174 |
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description | ZW10 interacting kinetochore protein (ZWINT) is an essential component for the mitotic spindle checkpoint and has been reported to be upregulated in numerous types of human cancer. Nonetheless, its role in breast cancer (BC) remains unclear. Herein, it was demonstrated that the expression of ZWINT was significantly higher in BC than in normal breast tissues, on the basis of integrated analysis of bioinformatics studies, cancer database analyses and immunohistochemical detection. Elevated ZWINT levels were associated with a number of clinicopathological characteristics in patients with BC. These characteristics include: i) Positive human epidermal growth factor receptor 2 expression; ii) triple-negative BC; iii) younger age; iv) basal-like subtype; and v) greater Scarff-Bloom-Richardson grades. Additionally, prognostic analysis indicated that shorter relapse-free survival, overall survival and metastatic relapse-free survival may be associated with high ZWINT expression. A total of 16 pathways associated with high ZWINT expression, including Myc targets V1/2, DNA repair and mitotic spindle pathways, were identified using Gene Set Enrichment Analysis. In addition, a positive correlation between cyclin-dependent kinase 1 (CDK1) and ZWINT mRNA expression was identified by co-expression analysis. The present study suggested that ZWINT may serve as an effective prognostic biomarker for BC. In addition, ZWINT may be implicated in the CDK1-mediated initiation and progression of BC. However, further research is required to understand the role of ZWINT in BC. |
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Nonetheless, its role in breast cancer (BC) remains unclear. Herein, it was demonstrated that the expression of ZWINT was significantly higher in BC than in normal breast tissues, on the basis of integrated analysis of bioinformatics studies, cancer database analyses and immunohistochemical detection. Elevated ZWINT levels were associated with a number of clinicopathological characteristics in patients with BC. These characteristics include: i) Positive human epidermal growth factor receptor 2 expression; ii) triple-negative BC; iii) younger age; iv) basal-like subtype; and v) greater Scarff-Bloom-Richardson grades. Additionally, prognostic analysis indicated that shorter relapse-free survival, overall survival and metastatic relapse-free survival may be associated with high ZWINT expression. A total of 16 pathways associated with high ZWINT expression, including Myc targets V1/2, DNA repair and mitotic spindle pathways, were identified using Gene Set Enrichment Analysis. In addition, a positive correlation between cyclin-dependent kinase 1 (CDK1) and ZWINT mRNA expression was identified by co-expression analysis. The present study suggested that ZWINT may serve as an effective prognostic biomarker for BC. In addition, ZWINT may be implicated in the CDK1-mediated initiation and progression of BC. However, further research is required to understand the role of ZWINT in BC.</description><identifier>ISSN: 1792-1074</identifier><identifier>EISSN: 1792-1082</identifier><identifier>DOI: 10.3892/ol.2020.11353</identifier><identifier>PMID: 32194714</identifier><language>eng</language><publisher>Greece: Spandidos Publications</publisher><subject>Analysis ; Bioinformatics ; Biomarkers ; Breast cancer ; Cancer metastasis ; Cancer research ; Cancer therapies ; Chromosomes ; Clinical outcomes ; Computational biology ; DNA ; DNA repair ; Epidermal growth factors ; Gene expression ; Genomics ; Liver cancer ; Medical prognosis ; Messenger RNA ; Metastasis ; Mutation ; Oncology ; Ovarian cancer ; Proteins ; RNA ; Womens health</subject><ispartof>Oncology letters, 2020-03, Vol.19 (3), p.2163-2174</ispartof><rights>Copyright: © Li et al.</rights><rights>COPYRIGHT 2020 Spandidos Publications</rights><rights>Copyright Spandidos Publications UK Ltd. 2020</rights><rights>Copyright: © Li et al. 2020</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c513t-be0f7cf21f041d0d946ee511dbb5331453f04a3c1876db7a803300f5e52b57ac3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039158/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039158/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32194714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Han-Ning</creatorcontrib><creatorcontrib>Zheng, Wei-Hong</creatorcontrib><creatorcontrib>Du, Ya-Ying</creatorcontrib><creatorcontrib>Wang, Ge</creatorcontrib><creatorcontrib>Dong, Meng-Lu</creatorcontrib><creatorcontrib>Yang, Zhi-Fang</creatorcontrib><creatorcontrib>Li, Xing-Rui</creatorcontrib><title>ZW10 interacting kinetochore protein may serve as a prognostic biomarker for human breast cancer: An integrated bioinformatics analysis</title><title>Oncology letters</title><addtitle>Oncol Lett</addtitle><description>ZW10 interacting kinetochore protein (ZWINT) is an essential component for the mitotic spindle checkpoint and has been reported to be upregulated in numerous types of human cancer. Nonetheless, its role in breast cancer (BC) remains unclear. Herein, it was demonstrated that the expression of ZWINT was significantly higher in BC than in normal breast tissues, on the basis of integrated analysis of bioinformatics studies, cancer database analyses and immunohistochemical detection. Elevated ZWINT levels were associated with a number of clinicopathological characteristics in patients with BC. These characteristics include: i) Positive human epidermal growth factor receptor 2 expression; ii) triple-negative BC; iii) younger age; iv) basal-like subtype; and v) greater Scarff-Bloom-Richardson grades. Additionally, prognostic analysis indicated that shorter relapse-free survival, overall survival and metastatic relapse-free survival may be associated with high ZWINT expression. A total of 16 pathways associated with high ZWINT expression, including Myc targets V1/2, DNA repair and mitotic spindle pathways, were identified using Gene Set Enrichment Analysis. In addition, a positive correlation between cyclin-dependent kinase 1 (CDK1) and ZWINT mRNA expression was identified by co-expression analysis. The present study suggested that ZWINT may serve as an effective prognostic biomarker for BC. In addition, ZWINT may be implicated in the CDK1-mediated initiation and progression of BC. However, further research is required to understand the role of ZWINT in BC.</description><subject>Analysis</subject><subject>Bioinformatics</subject><subject>Biomarkers</subject><subject>Breast cancer</subject><subject>Cancer metastasis</subject><subject>Cancer research</subject><subject>Cancer therapies</subject><subject>Chromosomes</subject><subject>Clinical outcomes</subject><subject>Computational biology</subject><subject>DNA</subject><subject>DNA repair</subject><subject>Epidermal growth factors</subject><subject>Gene expression</subject><subject>Genomics</subject><subject>Liver cancer</subject><subject>Medical prognosis</subject><subject>Messenger RNA</subject><subject>Metastasis</subject><subject>Mutation</subject><subject>Oncology</subject><subject>Ovarian cancer</subject><subject>Proteins</subject><subject>RNA</subject><subject>Womens health</subject><issn>1792-1074</issn><issn>1792-1082</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNptkk1r3DAQhk1paUKaY69FUCi57EZjWf7oobCEfgQCvbQUehGyPLaVyNJWkgP7C_q3KyfpslsqHSRmnvcVM5osew10zeomv3RmndOcrgEYZ8-yU6iafAW0zp_v71Vxkp2HcEvT4iXUdfkyO2E5NEUFxWn2--cPoETbiF6qqO1A7rTF6NToPJKtdxG1JZPckYD-HokMRC7hwboQtSKtdpP0d-hJ7zwZ50la0nqUIRIlrUL_nmzsg__gZcRuEWib2EkmeTKz0uyCDq-yF700Ac-fzrPs-6eP366-rG6-fr6-2tysFAcWVy3SvlJ9Dj0toKNdU5SIHKBrW84YFJylhGQK6qrs2krWlDFKe448b3klFTvLPjz6bud2wk6hjV4asfU6lbETTmpxnLF6FIO7FxVlDfA6GVw8GXj3a8YQxaSDQmOkRTcHkbMayrzgsKBv_0Fv3exTwQtV8lQBPaQGaVAsvUnvqsVUbEpoUlHphxO1_g-VdoeTVs5ir1P8SPDuQDCiNHEMzsxROxuOwdUjqLwLwWO_bwZQsUyZcEYsUyYepizxbw47uKf_zhT7A0T2zQU</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Li, Han-Ning</creator><creator>Zheng, Wei-Hong</creator><creator>Du, Ya-Ying</creator><creator>Wang, Ge</creator><creator>Dong, Meng-Lu</creator><creator>Yang, Zhi-Fang</creator><creator>Li, Xing-Rui</creator><general>Spandidos Publications</general><general>Spandidos Publications UK Ltd</general><general>D.A. Spandidos</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200301</creationdate><title>ZW10 interacting kinetochore protein may serve as a prognostic biomarker for human breast cancer: An integrated bioinformatics analysis</title><author>Li, Han-Ning ; Zheng, Wei-Hong ; Du, Ya-Ying ; Wang, Ge ; Dong, Meng-Lu ; Yang, Zhi-Fang ; Li, Xing-Rui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-be0f7cf21f041d0d946ee511dbb5331453f04a3c1876db7a803300f5e52b57ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Bioinformatics</topic><topic>Biomarkers</topic><topic>Breast cancer</topic><topic>Cancer metastasis</topic><topic>Cancer research</topic><topic>Cancer therapies</topic><topic>Chromosomes</topic><topic>Clinical outcomes</topic><topic>Computational biology</topic><topic>DNA</topic><topic>DNA repair</topic><topic>Epidermal growth factors</topic><topic>Gene expression</topic><topic>Genomics</topic><topic>Liver cancer</topic><topic>Medical prognosis</topic><topic>Messenger RNA</topic><topic>Metastasis</topic><topic>Mutation</topic><topic>Oncology</topic><topic>Ovarian cancer</topic><topic>Proteins</topic><topic>RNA</topic><topic>Womens health</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, Han-Ning</creatorcontrib><creatorcontrib>Zheng, Wei-Hong</creatorcontrib><creatorcontrib>Du, Ya-Ying</creatorcontrib><creatorcontrib>Wang, Ge</creatorcontrib><creatorcontrib>Dong, Meng-Lu</creatorcontrib><creatorcontrib>Yang, Zhi-Fang</creatorcontrib><creatorcontrib>Li, Xing-Rui</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Han-Ning</au><au>Zheng, Wei-Hong</au><au>Du, Ya-Ying</au><au>Wang, Ge</au><au>Dong, Meng-Lu</au><au>Yang, Zhi-Fang</au><au>Li, Xing-Rui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ZW10 interacting kinetochore protein may serve as a prognostic biomarker for human breast cancer: An integrated bioinformatics analysis</atitle><jtitle>Oncology letters</jtitle><addtitle>Oncol Lett</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>19</volume><issue>3</issue><spage>2163</spage><epage>2174</epage><pages>2163-2174</pages><issn>1792-1074</issn><eissn>1792-1082</eissn><abstract>ZW10 interacting kinetochore protein (ZWINT) is an essential component for the mitotic spindle checkpoint and has been reported to be upregulated in numerous types of human cancer. Nonetheless, its role in breast cancer (BC) remains unclear. Herein, it was demonstrated that the expression of ZWINT was significantly higher in BC than in normal breast tissues, on the basis of integrated analysis of bioinformatics studies, cancer database analyses and immunohistochemical detection. Elevated ZWINT levels were associated with a number of clinicopathological characteristics in patients with BC. These characteristics include: i) Positive human epidermal growth factor receptor 2 expression; ii) triple-negative BC; iii) younger age; iv) basal-like subtype; and v) greater Scarff-Bloom-Richardson grades. Additionally, prognostic analysis indicated that shorter relapse-free survival, overall survival and metastatic relapse-free survival may be associated with high ZWINT expression. A total of 16 pathways associated with high ZWINT expression, including Myc targets V1/2, DNA repair and mitotic spindle pathways, were identified using Gene Set Enrichment Analysis. In addition, a positive correlation between cyclin-dependent kinase 1 (CDK1) and ZWINT mRNA expression was identified by co-expression analysis. The present study suggested that ZWINT may serve as an effective prognostic biomarker for BC. In addition, ZWINT may be implicated in the CDK1-mediated initiation and progression of BC. However, further research is required to understand the role of ZWINT in BC.</abstract><cop>Greece</cop><pub>Spandidos Publications</pub><pmid>32194714</pmid><doi>10.3892/ol.2020.11353</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Bioinformatics Biomarkers Breast cancer Cancer metastasis Cancer research Cancer therapies Chromosomes Clinical outcomes Computational biology DNA DNA repair Epidermal growth factors Gene expression Genomics Liver cancer Medical prognosis Messenger RNA Metastasis Mutation Oncology Ovarian cancer Proteins RNA Womens health |
title | ZW10 interacting kinetochore protein may serve as a prognostic biomarker for human breast cancer: An integrated bioinformatics analysis |
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