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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...

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Autores principales: Hosseini, Arianaz, Ashraf, Hami, Rahimi, Fatemeh, Alipourfard, Iraj, Alivirdiloo, Vahid, Hashemi, Behnam, Yazdani, Yalda, Ghazi, Farhood, Eslami, Majid, Ameri Shah Reza, Mahdieh, Dadashpour, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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