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Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review
Glioblastoma (GBM) is an aggressive type of cancer that originates in the cells called astrocytes, which support the functioning of nerve cells. It can develop in either the brain or the spinal cord and is also known as glioblastoma multiform. GBM is a highly aggressive cancer that can occur in eith...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199620/ https://www.ncbi.nlm.nih.gov/pubmed/37210528 http://dx.doi.org/10.1186/s12935-023-02947-1 |
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author | Hosseini, Arianaz Ashraf, Hami Rahimi, Fatemeh Alipourfard, Iraj Alivirdiloo, Vahid Hashemi, Behnam Yazdani, Yalda Ghazi, Farhood Eslami, Majid Ameri Shah Reza, Mahdieh Dadashpour, Mehdi |
author_facet | Hosseini, Arianaz Ashraf, Hami Rahimi, Fatemeh Alipourfard, Iraj Alivirdiloo, Vahid Hashemi, Behnam Yazdani, Yalda Ghazi, Farhood Eslami, Majid Ameri Shah Reza, Mahdieh Dadashpour, Mehdi |
author_sort | Hosseini, Arianaz |
collection | PubMed |
description | Glioblastoma (GBM) is an aggressive type of cancer that originates in the cells called astrocytes, which support the functioning of nerve cells. It can develop in either the brain or the spinal cord and is also known as glioblastoma multiform. GBM is a highly aggressive cancer that can occur in either the brain or spinal cord. The detection of GBM in biofluids offers potential advantages over current methods for diagnosing and treatment monitoring of glial tumors. Biofluid-based detection of GBM focuses on identifying tumor-specific biomarkers in blood and cerebrospinal fluid. To date, different methods have been used to detect biomarkers of GBM, ranging from various imaging techniques to molecular approaches. Each method has its own strengths and weaknesses. The present review aims to scrutinize multiple diagnostic methods for GBM, with a focus on proteomics methods and biosensors. In other words, this study aims to provide an overview of the most significant research findings based on proteomics and biosensors for the diagnosis of GBM. |
format | Online Article Text |
id | pubmed-10199620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101996202023-05-21 Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review Hosseini, Arianaz Ashraf, Hami Rahimi, Fatemeh Alipourfard, Iraj Alivirdiloo, Vahid Hashemi, Behnam Yazdani, Yalda Ghazi, Farhood Eslami, Majid Ameri Shah Reza, Mahdieh Dadashpour, Mehdi Cancer Cell Int Review Glioblastoma (GBM) is an aggressive type of cancer that originates in the cells called astrocytes, which support the functioning of nerve cells. It can develop in either the brain or the spinal cord and is also known as glioblastoma multiform. GBM is a highly aggressive cancer that can occur in either the brain or spinal cord. The detection of GBM in biofluids offers potential advantages over current methods for diagnosing and treatment monitoring of glial tumors. Biofluid-based detection of GBM focuses on identifying tumor-specific biomarkers in blood and cerebrospinal fluid. To date, different methods have been used to detect biomarkers of GBM, ranging from various imaging techniques to molecular approaches. Each method has its own strengths and weaknesses. The present review aims to scrutinize multiple diagnostic methods for GBM, with a focus on proteomics methods and biosensors. In other words, this study aims to provide an overview of the most significant research findings based on proteomics and biosensors for the diagnosis of GBM. BioMed Central 2023-05-20 /pmc/articles/PMC10199620/ /pubmed/37210528 http://dx.doi.org/10.1186/s12935-023-02947-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Hosseini, Arianaz Ashraf, Hami Rahimi, Fatemeh Alipourfard, Iraj Alivirdiloo, Vahid Hashemi, Behnam Yazdani, Yalda Ghazi, Farhood Eslami, Majid Ameri Shah Reza, Mahdieh Dadashpour, Mehdi Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review |
title | Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review |
title_full | Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review |
title_fullStr | Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review |
title_full_unstemmed | Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review |
title_short | Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review |
title_sort | recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: a narrative review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199620/ https://www.ncbi.nlm.nih.gov/pubmed/37210528 http://dx.doi.org/10.1186/s12935-023-02947-1 |
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