Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis
Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical p...
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description | Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis. |
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Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0303337</identifier><identifier>PMID: 38758750</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>2-Methylisoborneol ; Bias ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biomarkers, Tumor - metabolism ; Brain research ; Brain tumors ; Cyclin A ; Cyclin-dependent kinase inhibitor p21 ; DNA topoisomerase (ATP-hydrolysing) ; DNA Topoisomerases, Type II - metabolism ; Growth factors ; Humans ; Immunohistochemistry ; Ki-67 Antigen - metabolism ; Liver cancer ; Medical prognosis ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Meningeal Neoplasms - diagnosis ; Meningeal Neoplasms - metabolism ; Meningeal Neoplasms - mortality ; Meningeal Neoplasms - pathology ; Meningioma ; Meningioma - diagnosis ; Meningioma - metabolism ; Meningioma - mortality ; Meningioma - pathology ; Meta-analysis ; Physical Sciences ; Poly-ADP-Ribose Binding Proteins ; Progesterone ; Prognosis ; Research and Analysis Methods ; Risk assessment ; Statistical analysis ; Survival ; Systematic review ; Tumor proteins ; Tumor Suppressor Protein p53 - metabolism ; Tumors ; Vascular endothelial growth factor ; Vascular Endothelial Growth Factor A - metabolism</subject><ispartof>PloS one, 2024-05, Vol.19 (5), p.e0303337-e0303337</ispartof><rights>Copyright: © 2024 Aung et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Aung et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Aung et al 2024 Aung et al</rights><rights>2024 Aung et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c642t-d0f11403decc086c4134fa13af73bd2671b151127a964a6ac298421ffb3d721c3</cites><orcidid>0000-0002-2170-4934</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101050/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101050/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38758750$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Li, Chien-Feng</contributor><creatorcontrib>Aung, Tin May</creatorcontrib><creatorcontrib>Ngamjarus, Chetta</creatorcontrib><creatorcontrib>Proungvitaya, Tanakorn</creatorcontrib><creatorcontrib>Saengboonmee, Charupong</creatorcontrib><creatorcontrib>Proungvitaya, Siriporn</creatorcontrib><title>Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.</description><subject>2-Methylisoborneol</subject><subject>Bias</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Brain research</subject><subject>Brain tumors</subject><subject>Cyclin A</subject><subject>Cyclin-dependent kinase inhibitor p21</subject><subject>DNA topoisomerase (ATP-hydrolysing)</subject><subject>DNA Topoisomerases, Type II - metabolism</subject><subject>Growth factors</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Ki-67 Antigen - metabolism</subject><subject>Liver cancer</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Medicine, Experimental</subject><subject>Meningeal Neoplasms - 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metabolism</topic><topic>Brain research</topic><topic>Brain tumors</topic><topic>Cyclin A</topic><topic>Cyclin-dependent kinase inhibitor p21</topic><topic>DNA topoisomerase (ATP-hydrolysing)</topic><topic>DNA Topoisomerases, Type II - metabolism</topic><topic>Growth factors</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Ki-67 Antigen - metabolism</topic><topic>Liver cancer</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Medicine, Experimental</topic><topic>Meningeal Neoplasms - diagnosis</topic><topic>Meningeal Neoplasms - metabolism</topic><topic>Meningeal Neoplasms - mortality</topic><topic>Meningeal Neoplasms - pathology</topic><topic>Meningioma</topic><topic>Meningioma - diagnosis</topic><topic>Meningioma - metabolism</topic><topic>Meningioma - mortality</topic><topic>Meningioma - pathology</topic><topic>Meta-analysis</topic><topic>Physical Sciences</topic><topic>Poly-ADP-Ribose Binding Proteins</topic><topic>Progesterone</topic><topic>Prognosis</topic><topic>Research and Analysis Methods</topic><topic>Risk assessment</topic><topic>Statistical analysis</topic><topic>Survival</topic><topic>Systematic review</topic><topic>Tumor proteins</topic><topic>Tumor Suppressor Protein p53 - 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aung, Tin May</au><au>Ngamjarus, Chetta</au><au>Proungvitaya, Tanakorn</au><au>Saengboonmee, Charupong</au><au>Proungvitaya, Siriporn</au><au>Li, Chien-Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-05-17</date><risdate>2024</risdate><volume>19</volume><issue>5</issue><spage>e0303337</spage><epage>e0303337</epage><pages>e0303337-e0303337</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38758750</pmid><doi>10.1371/journal.pone.0303337</doi><tpages>e0303337</tpages><orcidid>https://orcid.org/0000-0002-2170-4934</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-05, Vol.19 (5), p.e0303337-e0303337 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | 2-Methylisoborneol Bias Biological markers Biology and Life Sciences Biomarkers Biomarkers, Tumor - metabolism Brain research Brain tumors Cyclin A Cyclin-dependent kinase inhibitor p21 DNA topoisomerase (ATP-hydrolysing) DNA Topoisomerases, Type II - metabolism Growth factors Humans Immunohistochemistry Ki-67 Antigen - metabolism Liver cancer Medical prognosis Medical research Medicine and Health Sciences Medicine, Experimental Meningeal Neoplasms - diagnosis Meningeal Neoplasms - metabolism Meningeal Neoplasms - mortality Meningeal Neoplasms - pathology Meningioma Meningioma - diagnosis Meningioma - metabolism Meningioma - mortality Meningioma - pathology Meta-analysis Physical Sciences Poly-ADP-Ribose Binding Proteins Progesterone Prognosis Research and Analysis Methods Risk assessment Statistical analysis Survival Systematic review Tumor proteins Tumor Suppressor Protein p53 - metabolism Tumors Vascular endothelial growth factor Vascular Endothelial Growth Factor A - metabolism |
title | Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis |
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