Holistic and network analysis of meningioma pathogenesis and malignancy
Meningiomas, which originate from arachnoid cells and constitute the largest subgroup of all intracranial tumors, are generally benign, yet have the capacity to progress into a higher histological grade of malignancy associated with an increase in biological aggressivity and/or capacity to recur. To...
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Veröffentlicht in: | BioFactors (Oxford) 2006, Vol.28 (3-4), p.203-219 |
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creator | Tao, Yingqun Wei, Qing Xu, Zaihua Bai, Rulin Li, Yao Luo, Chun Dong, Yan Gao, Guoyi Lu, Yicheng |
description | Meningiomas, which originate from arachnoid cells and constitute the largest subgroup of all intracranial tumors, are generally benign, yet have the capacity to progress into a higher histological grade of malignancy associated with an increase in biological aggressivity and/or capacity to recur. To elucidate meningioma pathogenesis and malignancy, we applied a holistic and network approach analyzing cDNA and tissue microarray results. A potential pathway leading to meningioma angiogenesis, apoptosis and proliferation was evidenced as well as a regulatory network of the biomarkers including Ki‐67, AR, CD34, P53, c‐MYC, etc. which might support clinical research. In this potential pathway, ITGB1 could be the most important “superoncogene” playing a vital role in apoptosis and proliferation, while FOXO3A, MDM4 and MT3 are important to the malignancy process. Some genes are first reported that could explain why radiation induces meningioma and why more female than male patients are affected. Further, we present the hypothesis that HIV‐Tat protein might have a close relationship with meningioma pathogenesis and malignancy. |
doi_str_mv | 10.1002/biof.5520280307 |
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Further, we present the hypothesis that HIV‐Tat protein might have a close relationship with meningioma pathogenesis and malignancy.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>China - epidemiology</subject><subject>Down-Regulation</subject><subject>Female</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Products, tat - metabolism</subject><subject>Humans</subject><subject>Immunoblotting</subject><subject>Integrin beta1 - genetics</subject><subject>Male</subject><subject>Meningioma - chemistry</subject><subject>Meningioma - epidemiology</subject><subject>Meningioma - pathology</subject><subject>Middle Aged</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Proteome - chemistry</subject><subject>Sex Factors</subject><subject>Thioredoxins - analysis</subject><subject>Up-Regulation</subject><issn>0951-6433</issn><issn>1872-8081</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkM9PwjAYhhujEUTP3sxO3gZf23Ut8SREfiQKF8WES9N1HVa2FVcI8t87ApF48rv0S_q8b_I9CN1iaGMA0kmsy9qMESACKPAz1MSCk1CAwOeoCV2GwziitIGuvP8EwBQicYkamEecUoGbaDhyufVrqwNVpkFp1ltXLetd5TtvfeCyoDClLRfWFSpYqfWHW5jS7L_2fKFyuyhVqXfX6CJTuTc3x7eF3gZPr_1R-DwdjvuPz6GmgvGQR5mOU1NPIuIkAUESxrLERDhOSWoiIESzLteY1UcpBSmBOEshypgGrRWnLXR_6F1V7mtj_FoW1muT56o0buNlLCgjhLIa7BxAXTnvK5PJVWULVe0kBrl3J_fu5Mldnbg7Vm-SwqQn_iirBh4OwNbmZvdfn-yNp4M_9eEhXes2379pVS1lzCln8n0ylJPZnPfmL305oz-amIxT</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Tao, Yingqun</creator><creator>Wei, Qing</creator><creator>Xu, Zaihua</creator><creator>Bai, Rulin</creator><creator>Li, Yao</creator><creator>Luo, Chun</creator><creator>Dong, Yan</creator><creator>Gao, Guoyi</creator><creator>Lu, Yicheng</creator><general>IOS Press</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>2006</creationdate><title>Holistic and network analysis of meningioma pathogenesis and malignancy</title><author>Tao, Yingqun ; Wei, Qing ; Xu, Zaihua ; Bai, Rulin ; Li, Yao ; Luo, Chun ; Dong, Yan ; Gao, Guoyi ; Lu, Yicheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3857-74fc6deeeeb86bb082b55fbe416d2de4022c597c15552aa0d206fd04f5c0cca73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>China - epidemiology</topic><topic>Down-Regulation</topic><topic>Female</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene Products, tat - metabolism</topic><topic>Humans</topic><topic>Immunoblotting</topic><topic>Integrin beta1 - genetics</topic><topic>Male</topic><topic>Meningioma - chemistry</topic><topic>Meningioma - epidemiology</topic><topic>Meningioma - pathology</topic><topic>Middle Aged</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Proteome - chemistry</topic><topic>Sex Factors</topic><topic>Thioredoxins - analysis</topic><topic>Up-Regulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tao, Yingqun</creatorcontrib><creatorcontrib>Wei, Qing</creatorcontrib><creatorcontrib>Xu, Zaihua</creatorcontrib><creatorcontrib>Bai, Rulin</creatorcontrib><creatorcontrib>Li, Yao</creatorcontrib><creatorcontrib>Luo, Chun</creatorcontrib><creatorcontrib>Dong, Yan</creatorcontrib><creatorcontrib>Gao, Guoyi</creatorcontrib><creatorcontrib>Lu, Yicheng</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>BioFactors (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tao, Yingqun</au><au>Wei, Qing</au><au>Xu, Zaihua</au><au>Bai, Rulin</au><au>Li, Yao</au><au>Luo, Chun</au><au>Dong, Yan</au><au>Gao, Guoyi</au><au>Lu, Yicheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Holistic and network analysis of meningioma pathogenesis and malignancy</atitle><jtitle>BioFactors (Oxford)</jtitle><addtitle>BioFactors</addtitle><date>2006</date><risdate>2006</risdate><volume>28</volume><issue>3-4</issue><spage>203</spage><epage>219</epage><pages>203-219</pages><issn>0951-6433</issn><eissn>1872-8081</eissn><abstract>Meningiomas, which originate from arachnoid cells and constitute the largest subgroup of all intracranial tumors, are generally benign, yet have the capacity to progress into a higher histological grade of malignancy associated with an increase in biological aggressivity and/or capacity to recur. To elucidate meningioma pathogenesis and malignancy, we applied a holistic and network approach analyzing cDNA and tissue microarray results. A potential pathway leading to meningioma angiogenesis, apoptosis and proliferation was evidenced as well as a regulatory network of the biomarkers including Ki‐67, AR, CD34, P53, c‐MYC, etc. which might support clinical research. In this potential pathway, ITGB1 could be the most important “superoncogene” playing a vital role in apoptosis and proliferation, while FOXO3A, MDM4 and MT3 are important to the malignancy process. Some genes are first reported that could explain why radiation induces meningioma and why more female than male patients are affected. Further, we present the hypothesis that HIV‐Tat protein might have a close relationship with meningioma pathogenesis and malignancy.</abstract><cop>Amsterdam</cop><pub>IOS Press</pub><pmid>17473381</pmid><doi>10.1002/biof.5520280307</doi><tpages>17</tpages></addata></record> |
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subjects | Adolescent Adult Aged Biomarkers, Tumor - analysis Child Child, Preschool China - epidemiology Down-Regulation Female Gene Expression Regulation, Neoplastic Gene Products, tat - metabolism Humans Immunoblotting Integrin beta1 - genetics Male Meningioma - chemistry Meningioma - epidemiology Meningioma - pathology Middle Aged Oligonucleotide Array Sequence Analysis Proteome - chemistry Sex Factors Thioredoxins - analysis Up-Regulation |
title | Holistic and network analysis of meningioma pathogenesis and malignancy |
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