Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma
AimsA growing research demonstrated that YAP1 played important roles in gliomagenesis. We explored the expression of YAP1 and STAT3, the relationship between them and the effect of YAP1, STAT3 on prognosis in glioma.MethodsExpression of YAP1, p-YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 in 141 cases o...
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| Veröffentlicht in: | Journal of clinical pathology 2021-08, Vol.74 (8), p.513-521 |
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| creator | Sang, Wei Xue, Jing Su, Li-Ping Gulinar, Abulajiang Wang, Qian Zhai, Yang-Yang Hu, Yan-Ran Gao, Hai-Xia Li, Xinxia Li, Qiao-Xing Zhang, Wei |
| description | AimsA growing research demonstrated that YAP1 played important roles in gliomagenesis. We explored the expression of YAP1 and STAT3, the relationship between them and the effect of YAP1, STAT3 on prognosis in glioma.MethodsExpression of YAP1, p-YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 in 141 cases of low-grade gliomas (LGG) and 74 cases of high-grade gliomas (HGG) of surgical specimens were measured by immunohistochemistry. Pearson’s X2 test was used to determine the correlation between immunohistochemical expressions and clinicopathological parameters. Pearson’s or Spearman correlation test was used to determine the association between these proteins expression. Survival analysis was used to investigate the effect of these proteins on prognosis.ResultsHigh expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in HGG compared with LGG (p=0.000). High expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in 63.5%, 59.5%, 66.2% and 31.1% cases of HGG, respectively. YAP1 expression was associated to tumour location, Ki-67 and P53, STAT3 expression was related with Ki-67 and P53, and the expression of pSTAT3-S727 was associated with Ki-67. There was a significantly positive correlation between YAP1 and pSTAT3-S727 (p |
| doi_str_mv | 10.1136/jclinpath-2020-206868 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_proquest_miscellaneous_2448843080</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2448843080</sourcerecordid><originalsourceid>FETCH-LOGICAL-b355t-6d6cc3cf10989e6ac1db2d206007b082d30f089bcc044a279b5fbf180727f9c93</originalsourceid><addsrcrecordid>eNqNkc1q3DAUhUVpaSZpHyFgyKYQ3F79WD_LYUiTQqCFTBddCVmWEg0eybHsNHn7aOqSRVbZ6ErwfZfDEUKnGL5iTPm3ne1DHMx0VxMgUA4uuXyHVpgJUjPM-Hu0AiC4VoLxI3Sc8w4AU4HpR3REaXGw4Ct0efE4jC7nkGKVfPVn_QtXJnbVcLNdb2l9I4j4957uXBirYUy3MeUp2OrB9LOrQqxu-5D25hP64E2f3ef_8wT9_n6x3VzV1z8vf2zW13VLm2aqecetpdZjUFI5bizuWtKV8ACiBUk6Ch6kaq0FxgwRqm1867GEksMrq-gJ-rLsLVHuZ5cnvQ_Zur430aU5a8KYlIyChIKevUJ3aR5jSadJ01DMMVa0UM1C2THlPDqvhzHszfikMehD0_qlaX1oWi9NF-988f66Nvlsg4vWvbgAwIVUCppygwMt305vwmSm8iGbNMepqLCo7X73xmzPwnaffw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2553161193</pqid></control><display><type>article</type><title>Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma</title><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>PubMed Central</source><creator>Sang, Wei ; Xue, Jing ; Su, Li-Ping ; Gulinar, Abulajiang ; Wang, Qian ; Zhai, Yang-Yang ; Hu, Yan-Ran ; Gao, Hai-Xia ; Li, Xinxia ; Li, Qiao-Xing ; Zhang, Wei</creator><creatorcontrib>Sang, Wei ; Xue, Jing ; Su, Li-Ping ; Gulinar, Abulajiang ; Wang, Qian ; Zhai, Yang-Yang ; Hu, Yan-Ran ; Gao, Hai-Xia ; Li, Xinxia ; Li, Qiao-Xing ; Zhang, Wei</creatorcontrib><description>AimsA growing research demonstrated that YAP1 played important roles in gliomagenesis. We explored the expression of YAP1 and STAT3, the relationship between them and the effect of YAP1, STAT3 on prognosis in glioma.MethodsExpression of YAP1, p-YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 in 141 cases of low-grade gliomas (LGG) and 74 cases of high-grade gliomas (HGG) of surgical specimens were measured by immunohistochemistry. Pearson’s X2 test was used to determine the correlation between immunohistochemical expressions and clinicopathological parameters. Pearson’s or Spearman correlation test was used to determine the association between these proteins expression. Survival analysis was used to investigate the effect of these proteins on prognosis.ResultsHigh expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in HGG compared with LGG (p=0.000). High expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in 63.5%, 59.5%, 66.2% and 31.1% cases of HGG, respectively. YAP1 expression was associated to tumour location, Ki-67 and P53, STAT3 expression was related with Ki-67 and P53, and the expression of pSTAT3-S727 was associated with Ki-67. There was a significantly positive correlation between YAP1 and pSTAT3-S727 (p<0.0001; r=0.5663). Survival analysis revealed that patients with YAP1 and pSTAT3-S727 coexpression had worse overall survival (OS) and progression-free survival (PFS) (p<0.0001). Tumour grade, age, Ki-67 and YAP1 expression were independent prognostic factors for OS. In LGG group, both YAP1 and pSTAT3-S727 expressions were negative correlation with IDH1 mutation, YAP1 and pSTAT3-S727 coexpression showed worse OS and PFS of glioma patients.ConclusionOur research showed that YAP1 and STAT3 were significantly activated in HGG compared with LGG. YAP1 significantly correlated with pSTAT3-S727 in glioma, YAP1 and pSTAT3-S727 coexpression may serve as a reliable prognostic biomarker and therapeutic target for glioma.</description><identifier>ISSN: 0021-9746</identifier><identifier>EISSN: 1472-4146</identifier><identifier>DOI: 10.1136/jclinpath-2020-206868</identifier><identifier>PMID: 33020176</identifier><language>eng</language><publisher>LONDON: Bmj Publishing Group</publisher><subject>Biomarkers ; Brain cancer ; Cancer ; Cell cycle ; Chemotherapy ; Glioma ; Kinases ; Life Sciences & Biomedicine ; Medical prognosis ; Monoclonal antibodies ; Pathology ; Phosphorylation ; Radiation therapy ; Regression analysis ; Science & Technology ; Signal transduction ; Survival analysis ; Transcription factors ; Tumors</subject><ispartof>Journal of clinical pathology, 2021-08, Vol.74 (8), p.513-521</ispartof><rights>Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2021 Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>8</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000678990500008</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-b355t-6d6cc3cf10989e6ac1db2d206007b082d30f089bcc044a279b5fbf180727f9c93</citedby><cites>FETCH-LOGICAL-b355t-6d6cc3cf10989e6ac1db2d206007b082d30f089bcc044a279b5fbf180727f9c93</cites><orcidid>0000-0002-3512-7154 ; 0000-0002-0742-8072 ; 0000-0001-9719-8313</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27931,27932,39265</link.rule.ids></links><search><creatorcontrib>Sang, Wei</creatorcontrib><creatorcontrib>Xue, Jing</creatorcontrib><creatorcontrib>Su, Li-Ping</creatorcontrib><creatorcontrib>Gulinar, Abulajiang</creatorcontrib><creatorcontrib>Wang, Qian</creatorcontrib><creatorcontrib>Zhai, Yang-Yang</creatorcontrib><creatorcontrib>Hu, Yan-Ran</creatorcontrib><creatorcontrib>Gao, Hai-Xia</creatorcontrib><creatorcontrib>Li, Xinxia</creatorcontrib><creatorcontrib>Li, Qiao-Xing</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><title>Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma</title><title>Journal of clinical pathology</title><addtitle>J CLIN PATHOL</addtitle><description>AimsA growing research demonstrated that YAP1 played important roles in gliomagenesis. We explored the expression of YAP1 and STAT3, the relationship between them and the effect of YAP1, STAT3 on prognosis in glioma.MethodsExpression of YAP1, p-YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 in 141 cases of low-grade gliomas (LGG) and 74 cases of high-grade gliomas (HGG) of surgical specimens were measured by immunohistochemistry. Pearson’s X2 test was used to determine the correlation between immunohistochemical expressions and clinicopathological parameters. Pearson’s or Spearman correlation test was used to determine the association between these proteins expression. Survival analysis was used to investigate the effect of these proteins on prognosis.ResultsHigh expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in HGG compared with LGG (p=0.000). High expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in 63.5%, 59.5%, 66.2% and 31.1% cases of HGG, respectively. YAP1 expression was associated to tumour location, Ki-67 and P53, STAT3 expression was related with Ki-67 and P53, and the expression of pSTAT3-S727 was associated with Ki-67. There was a significantly positive correlation between YAP1 and pSTAT3-S727 (p<0.0001; r=0.5663). Survival analysis revealed that patients with YAP1 and pSTAT3-S727 coexpression had worse overall survival (OS) and progression-free survival (PFS) (p<0.0001). Tumour grade, age, Ki-67 and YAP1 expression were independent prognostic factors for OS. In LGG group, both YAP1 and pSTAT3-S727 expressions were negative correlation with IDH1 mutation, YAP1 and pSTAT3-S727 coexpression showed worse OS and PFS of glioma patients.ConclusionOur research showed that YAP1 and STAT3 were significantly activated in HGG compared with LGG. YAP1 significantly correlated with pSTAT3-S727 in glioma, YAP1 and pSTAT3-S727 coexpression may serve as a reliable prognostic biomarker and therapeutic target for glioma.</description><subject>Biomarkers</subject><subject>Brain cancer</subject><subject>Cancer</subject><subject>Cell cycle</subject><subject>Chemotherapy</subject><subject>Glioma</subject><subject>Kinases</subject><subject>Life Sciences & Biomedicine</subject><subject>Medical prognosis</subject><subject>Monoclonal antibodies</subject><subject>Pathology</subject><subject>Phosphorylation</subject><subject>Radiation therapy</subject><subject>Regression analysis</subject><subject>Science & Technology</subject><subject>Signal transduction</subject><subject>Survival analysis</subject><subject>Transcription factors</subject><subject>Tumors</subject><issn>0021-9746</issn><issn>1472-4146</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc1q3DAUhUVpaSZpHyFgyKYQ3F79WD_LYUiTQqCFTBddCVmWEg0eybHsNHn7aOqSRVbZ6ErwfZfDEUKnGL5iTPm3ne1DHMx0VxMgUA4uuXyHVpgJUjPM-Hu0AiC4VoLxI3Sc8w4AU4HpR3REaXGw4Ct0efE4jC7nkGKVfPVn_QtXJnbVcLNdb2l9I4j4957uXBirYUy3MeUp2OrB9LOrQqxu-5D25hP64E2f3ef_8wT9_n6x3VzV1z8vf2zW13VLm2aqecetpdZjUFI5bizuWtKV8ACiBUk6Ch6kaq0FxgwRqm1867GEksMrq-gJ-rLsLVHuZ5cnvQ_Zur430aU5a8KYlIyChIKevUJ3aR5jSadJ01DMMVa0UM1C2THlPDqvhzHszfikMehD0_qlaX1oWi9NF-988f66Nvlsg4vWvbgAwIVUCppygwMt305vwmSm8iGbNMepqLCo7X73xmzPwnaffw</recordid><startdate>202108</startdate><enddate>202108</enddate><creator>Sang, Wei</creator><creator>Xue, Jing</creator><creator>Su, Li-Ping</creator><creator>Gulinar, Abulajiang</creator><creator>Wang, Qian</creator><creator>Zhai, Yang-Yang</creator><creator>Hu, Yan-Ran</creator><creator>Gao, Hai-Xia</creator><creator>Li, Xinxia</creator><creator>Li, Qiao-Xing</creator><creator>Zhang, Wei</creator><general>Bmj Publishing Group</general><general>BMJ Publishing Group LTD</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3512-7154</orcidid><orcidid>https://orcid.org/0000-0002-0742-8072</orcidid><orcidid>https://orcid.org/0000-0001-9719-8313</orcidid></search><sort><creationdate>202108</creationdate><title>Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma</title><author>Sang, Wei ; Xue, Jing ; Su, Li-Ping ; Gulinar, Abulajiang ; Wang, Qian ; Zhai, Yang-Yang ; Hu, Yan-Ran ; Gao, Hai-Xia ; Li, Xinxia ; Li, Qiao-Xing ; Zhang, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b355t-6d6cc3cf10989e6ac1db2d206007b082d30f089bcc044a279b5fbf180727f9c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biomarkers</topic><topic>Brain cancer</topic><topic>Cancer</topic><topic>Cell cycle</topic><topic>Chemotherapy</topic><topic>Glioma</topic><topic>Kinases</topic><topic>Life Sciences & Biomedicine</topic><topic>Medical prognosis</topic><topic>Monoclonal antibodies</topic><topic>Pathology</topic><topic>Phosphorylation</topic><topic>Radiation therapy</topic><topic>Regression analysis</topic><topic>Science & Technology</topic><topic>Signal transduction</topic><topic>Survival analysis</topic><topic>Transcription factors</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sang, Wei</creatorcontrib><creatorcontrib>Xue, Jing</creatorcontrib><creatorcontrib>Su, Li-Ping</creatorcontrib><creatorcontrib>Gulinar, Abulajiang</creatorcontrib><creatorcontrib>Wang, Qian</creatorcontrib><creatorcontrib>Zhai, Yang-Yang</creatorcontrib><creatorcontrib>Hu, Yan-Ran</creatorcontrib><creatorcontrib>Gao, Hai-Xia</creatorcontrib><creatorcontrib>Li, Xinxia</creatorcontrib><creatorcontrib>Li, Qiao-Xing</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</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 Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sang, Wei</au><au>Xue, Jing</au><au>Su, Li-Ping</au><au>Gulinar, Abulajiang</au><au>Wang, Qian</au><au>Zhai, Yang-Yang</au><au>Hu, Yan-Ran</au><au>Gao, Hai-Xia</au><au>Li, Xinxia</au><au>Li, Qiao-Xing</au><au>Zhang, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma</atitle><jtitle>Journal of clinical pathology</jtitle><stitle>J CLIN PATHOL</stitle><date>2021-08</date><risdate>2021</risdate><volume>74</volume><issue>8</issue><spage>513</spage><epage>521</epage><pages>513-521</pages><issn>0021-9746</issn><eissn>1472-4146</eissn><abstract>AimsA growing research demonstrated that YAP1 played important roles in gliomagenesis. We explored the expression of YAP1 and STAT3, the relationship between them and the effect of YAP1, STAT3 on prognosis in glioma.MethodsExpression of YAP1, p-YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 in 141 cases of low-grade gliomas (LGG) and 74 cases of high-grade gliomas (HGG) of surgical specimens were measured by immunohistochemistry. Pearson’s X2 test was used to determine the correlation between immunohistochemical expressions and clinicopathological parameters. Pearson’s or Spearman correlation test was used to determine the association between these proteins expression. Survival analysis was used to investigate the effect of these proteins on prognosis.ResultsHigh expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in HGG compared with LGG (p=0.000). High expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in 63.5%, 59.5%, 66.2% and 31.1% cases of HGG, respectively. YAP1 expression was associated to tumour location, Ki-67 and P53, STAT3 expression was related with Ki-67 and P53, and the expression of pSTAT3-S727 was associated with Ki-67. There was a significantly positive correlation between YAP1 and pSTAT3-S727 (p<0.0001; r=0.5663). Survival analysis revealed that patients with YAP1 and pSTAT3-S727 coexpression had worse overall survival (OS) and progression-free survival (PFS) (p<0.0001). Tumour grade, age, Ki-67 and YAP1 expression were independent prognostic factors for OS. In LGG group, both YAP1 and pSTAT3-S727 expressions were negative correlation with IDH1 mutation, YAP1 and pSTAT3-S727 coexpression showed worse OS and PFS of glioma patients.ConclusionOur research showed that YAP1 and STAT3 were significantly activated in HGG compared with LGG. YAP1 significantly correlated with pSTAT3-S727 in glioma, YAP1 and pSTAT3-S727 coexpression may serve as a reliable prognostic biomarker and therapeutic target for glioma.</abstract><cop>LONDON</cop><pub>Bmj Publishing Group</pub><pmid>33020176</pmid><doi>10.1136/jclinpath-2020-206868</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3512-7154</orcidid><orcidid>https://orcid.org/0000-0002-0742-8072</orcidid><orcidid>https://orcid.org/0000-0001-9719-8313</orcidid></addata></record> |
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| subjects | Biomarkers Brain cancer Cancer Cell cycle Chemotherapy Glioma Kinases Life Sciences & Biomedicine Medical prognosis Monoclonal antibodies Pathology Phosphorylation Radiation therapy Regression analysis Science & Technology Signal transduction Survival analysis Transcription factors Tumors |
| title | Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma |
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