Bmi-1 overexpression as an efficient prognostic marker in patients with nonsmall cell lung cancer
The prognostic effect of B-cell-specific Moloney leukemia virus insertion site 1 (Bmi-1) in patients with nonsmall cell lung cancer (NSCLC) remains controversial. We thus performed a meta-analysis to reveal the correlation between Bmi-1 with clinical features and overall survival (OS) in NSCLC. Rele...
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| Veröffentlicht in: | Medicine (Baltimore) 2017-06, Vol.96 (26), p.e7346-e7346 |
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| creator | Zhang, Xiaojun Tian, Tian Sun, Wei Liu, Changting Fang, Xiangqun |
| description | The prognostic effect of B-cell-specific Moloney leukemia virus insertion site 1 (Bmi-1) in patients with nonsmall cell lung cancer (NSCLC) remains controversial. We thus performed a meta-analysis to reveal the correlation between Bmi-1 with clinical features and overall survival (OS) in NSCLC.
Relevant studies were searched through PubMed, Embase, and Web of Science. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) as well as odds ratios (ORs) and 95% CIs were calculated by using STATA version 12.0.
Fourteen studies consisting of 1323 patients were included for quantitative analysis. The results showed that Bmi-1 was significantly associated with tumor size (n = 7, OR = 1.79, 95% CI = 1.19-2.71, P = .005, fixed effect), poor differentiation (OR = 1.61, 95% CI = 1.11-2.33, P = .011, fixed effect), and distant metastasis (n = 4, OR = 4.69, 95% CI = 1.52-14.41, P = .007, fixed effect). In addition, high Bmi-1 expression also predicted poor OS (HR = 1.62, 95% CI = 1.14-2.3, P |
| doi_str_mv | 10.1097/MD.0000000000007346 |
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Relevant studies were searched through PubMed, Embase, and Web of Science. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) as well as odds ratios (ORs) and 95% CIs were calculated by using STATA version 12.0.
Fourteen studies consisting of 1323 patients were included for quantitative analysis. The results showed that Bmi-1 was significantly associated with tumor size (n = 7, OR = 1.79, 95% CI = 1.19-2.71, P = .005, fixed effect), poor differentiation (OR = 1.61, 95% CI = 1.11-2.33, P = .011, fixed effect), and distant metastasis (n = 4, OR = 4.69, 95% CI = 1.52-14.41, P = .007, fixed effect). In addition, high Bmi-1 expression also predicted poor OS (HR = 1.62, 95% CI = 1.14-2.3, P < .001). There was no significant publication bias for any of the analyses.
In conclusion, Bmi-1 overexpression was correlated with tumor size, poor differentiation, distant metastasis, and worse OS in NSCLC. Therefore, Bmi-1 could be recommended as an efficient prognostic marker for NSCLC.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000007346</identifier><identifier>PMID: 28658153</identifier><language>eng</language><publisher>United States: The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved</publisher><subject>Biomarkers, Tumor - metabolism ; Carcinoma, Non-Small-Cell Lung - metabolism ; Humans ; Lung Neoplasms - metabolism ; Polycomb Repressive Complex 1 - metabolism ; Prognosis ; Systematic Review and Meta-Analysis</subject><ispartof>Medicine (Baltimore), 2017-06, Vol.96 (26), p.e7346-e7346</ispartof><rights>The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.</rights><rights>Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4501-c12ab2785db6a8c1ec6b13b346b336aa0d375928a6465c2945ae5ac128b4f59b3</citedby><cites>FETCH-LOGICAL-c4501-c12ab2785db6a8c1ec6b13b346b336aa0d375928a6465c2945ae5ac128b4f59b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500075/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500075/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28658153$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Xiaojun</creatorcontrib><creatorcontrib>Tian, Tian</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><creatorcontrib>Liu, Changting</creatorcontrib><creatorcontrib>Fang, Xiangqun</creatorcontrib><title>Bmi-1 overexpression as an efficient prognostic marker in patients with nonsmall cell lung cancer</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>The prognostic effect of B-cell-specific Moloney leukemia virus insertion site 1 (Bmi-1) in patients with nonsmall cell lung cancer (NSCLC) remains controversial. We thus performed a meta-analysis to reveal the correlation between Bmi-1 with clinical features and overall survival (OS) in NSCLC.
Relevant studies were searched through PubMed, Embase, and Web of Science. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) as well as odds ratios (ORs) and 95% CIs were calculated by using STATA version 12.0.
Fourteen studies consisting of 1323 patients were included for quantitative analysis. The results showed that Bmi-1 was significantly associated with tumor size (n = 7, OR = 1.79, 95% CI = 1.19-2.71, P = .005, fixed effect), poor differentiation (OR = 1.61, 95% CI = 1.11-2.33, P = .011, fixed effect), and distant metastasis (n = 4, OR = 4.69, 95% CI = 1.52-14.41, P = .007, fixed effect). In addition, high Bmi-1 expression also predicted poor OS (HR = 1.62, 95% CI = 1.14-2.3, P < .001). There was no significant publication bias for any of the analyses.
In conclusion, Bmi-1 overexpression was correlated with tumor size, poor differentiation, distant metastasis, and worse OS in NSCLC. Therefore, Bmi-1 could be recommended as an efficient prognostic marker for NSCLC.</description><subject>Biomarkers, Tumor - metabolism</subject><subject>Carcinoma, Non-Small-Cell Lung - metabolism</subject><subject>Humans</subject><subject>Lung Neoplasms - metabolism</subject><subject>Polycomb Repressive Complex 1 - metabolism</subject><subject>Prognosis</subject><subject>Systematic Review and Meta-Analysis</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdUU1v1DAUtBCo3S79BUjIRy4p_nZyQYK2lEqtuMDZevE6u6aJHeykC_8eh22rgg-25Dczb94bhN5QckZJo9_fXpyRZ0dzoV6gFZVcVbJR4iVaEcJkpRstjtFJzj8IoVwzcYSOWa1kXZArBJ8GX1Ec711yv8bkcvYxYMgYAnZd5613YcJjitsQ8-QtHiDduYR9wCNMSzHjvZ92OMSQB-h7bF25-jlssYVgXXqNXnXQZ3f68K7R98-X386_VDdfr67PP95UVkhCK0sZtEzXctMqqC11VrWUt2WolnMFQDZcy4bVoISSljVCgpNQWHUrOtm0fI0-HHTHuR3cxhZrCXozJl8s_zYRvPm3EvzObOO9kXLZniwC7x4EUvw5uzyZwedlGgguztnQhopa6GXTa8QPUJtizsl1T20oMUs45vbC_B9OYb197vCJ85hGAYgDYB_7yaV81897l8zOQT_t_upJ3bCKEaqJ4oRU5UdR_ge8Xpti</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Zhang, Xiaojun</creator><creator>Tian, Tian</creator><creator>Sun, Wei</creator><creator>Liu, Changting</creator><creator>Fang, Xiangqun</creator><general>The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved</general><general>Wolters Kluwer Health</general><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><scope>5PM</scope></search><sort><creationdate>20170601</creationdate><title>Bmi-1 overexpression as an efficient prognostic marker in patients with nonsmall cell lung cancer</title><author>Zhang, Xiaojun ; Tian, Tian ; Sun, Wei ; Liu, Changting ; Fang, Xiangqun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4501-c12ab2785db6a8c1ec6b13b346b336aa0d375928a6465c2945ae5ac128b4f59b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biomarkers, Tumor - metabolism</topic><topic>Carcinoma, Non-Small-Cell Lung - metabolism</topic><topic>Humans</topic><topic>Lung Neoplasms - metabolism</topic><topic>Polycomb Repressive Complex 1 - metabolism</topic><topic>Prognosis</topic><topic>Systematic Review and Meta-Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xiaojun</creatorcontrib><creatorcontrib>Tian, Tian</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><creatorcontrib>Liu, Changting</creatorcontrib><creatorcontrib>Fang, Xiangqun</creatorcontrib><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xiaojun</au><au>Tian, Tian</au><au>Sun, Wei</au><au>Liu, Changting</au><au>Fang, Xiangqun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bmi-1 overexpression as an efficient prognostic marker in patients with nonsmall cell lung cancer</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>96</volume><issue>26</issue><spage>e7346</spage><epage>e7346</epage><pages>e7346-e7346</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>The prognostic effect of B-cell-specific Moloney leukemia virus insertion site 1 (Bmi-1) in patients with nonsmall cell lung cancer (NSCLC) remains controversial. We thus performed a meta-analysis to reveal the correlation between Bmi-1 with clinical features and overall survival (OS) in NSCLC.
Relevant studies were searched through PubMed, Embase, and Web of Science. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) as well as odds ratios (ORs) and 95% CIs were calculated by using STATA version 12.0.
Fourteen studies consisting of 1323 patients were included for quantitative analysis. The results showed that Bmi-1 was significantly associated with tumor size (n = 7, OR = 1.79, 95% CI = 1.19-2.71, P = .005, fixed effect), poor differentiation (OR = 1.61, 95% CI = 1.11-2.33, P = .011, fixed effect), and distant metastasis (n = 4, OR = 4.69, 95% CI = 1.52-14.41, P = .007, fixed effect). In addition, high Bmi-1 expression also predicted poor OS (HR = 1.62, 95% CI = 1.14-2.3, P < .001). There was no significant publication bias for any of the analyses.
In conclusion, Bmi-1 overexpression was correlated with tumor size, poor differentiation, distant metastasis, and worse OS in NSCLC. Therefore, Bmi-1 could be recommended as an efficient prognostic marker for NSCLC.</abstract><cop>United States</cop><pub>The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved</pub><pmid>28658153</pmid><doi>10.1097/MD.0000000000007346</doi><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Wolters Kluwer Open Health; IngentaConnect Free/Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Biomarkers, Tumor - metabolism Carcinoma, Non-Small-Cell Lung - metabolism Humans Lung Neoplasms - metabolism Polycomb Repressive Complex 1 - metabolism Prognosis Systematic Review and Meta-Analysis |
| title | Bmi-1 overexpression as an efficient prognostic marker in patients with nonsmall cell lung cancer |
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