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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Veröffentlicht in:PloS one 2024-05, Vol.19 (5), p.e0303337-e0303337
Hauptverfasser: Aung, Tin May, Ngamjarus, Chetta, Proungvitaya, Tanakorn, Saengboonmee, Charupong, Proungvitaya, Siriporn
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container_start_page e0303337
container_title PloS one
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creator Aung, Tin May
Ngamjarus, Chetta
Proungvitaya, Tanakorn
Saengboonmee, Charupong
Proungvitaya, Siriporn
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. 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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. 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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. 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; 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 &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; 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>
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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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