ArticleProteome science2014
Potential serum biomarkers for glioblastoma diagnostic assessed by proteomic approaches.
Article in Proteome science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Blood-Based Biomarkers for Glioma in the Context of Gliomagenesis: A Systematic Review.Frontiers in oncology · 2021Pooled it
- MALDI-TOF Mass Spectrometry for Glioblastoma Secretome Biomarker Screening: A Review of Challenges and Perspectives.Current issues in molecular biology · 2026Review
- Rewriting the RNA code: an mFrontiers in immunology · 2026Review
- Proteomics Approaches for Discovering Novel Protein Biomarkers in Inflammatory Bowel Disease-Related Cancer.Biomolecules · 2025Review
- A DIA-MS-based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients.Molecular oncology · 2025Article
- Review
- Long noncoding RNA SNHG4 promotes glioma progression via regulating miR-367-3p/MYO1B axis in zebrafish xenografts.Human cell · 2025Article
- Proteomics of tumor and serum samples from isocitrate dehydrogenase-wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival?Molecular oncology · 2024Article
- Article
- The duality of CXCR3 in glioblastoma: unveiling autocrine and paracrine mechanisms for novel therapeutic approaches.Cell death & disease · 2023Review
- Comparative Analysis of Amino Acid Profiles in Patients with Glioblastoma and Meningioma Using Liquid Chromatography Electrospray Ionization Tandem Mass Spectrometry (LC-ESI-MS/MS).Molecules (Basel, Switzerland) · 2023Article
- An overview of glioblastoma multiforme and temozolomide resistance: can LC-MS-based proteomics reveal the fundamental mechanism of temozolomide resistance?Frontiers in oncology · 2023Review
- Glioblastoma survival is associated with distinct proteomic alteration signatures post chemoirradiation in a large-scale proteomic panel.Frontiers in oncology · 2023Article
- Pro-inflammatory megakaryocyte gene expression in murine models of breast cancer.Science advances · 2022Article
- Long Noncoding RNA WEE2-AS1 Plays an Oncogenic Role in Glioblastoma by Functioning as a Molecular Sponge for MicroRNA-520f-3p.Oncology research · 2021Article
- Role of RAGE and Its Ligands on Inflammatory Responses to Brain Tumors.Frontiers in cellular neuroscience · 2021Review
- Putting Proteomics Into Immunotherapy for Glioblastoma.Frontiers in immunology · 2021Review
- A review of gliomas-related proteins. Characteristics of potential biomarkers.American journal of cancer research · 2021Review
- Glioblastoma: Is There Any Blood Biomarker with True Clinical Relevance?International journal of molecular sciences · 2020Review
- The Role of Selected Chemokines and Their Receptors in the Development of Gliomas.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rapid progress of proteomics over the past years has allowed the discovery of a large number of potential biomarker candidates to improve early tumor diagnosis and therapeutic response, thus being further integrated into clinical environment. High grade gliomas represent one of the most aggressive and treatment-resistant types of human brain cancer, with approximately 9-12 months median survival rate for patients with grade IV glioma (glioblastoma). Using state-of-the-art proteomics technologies, we have investigated the proteome profile for glioblastoma patients in order to identify a novel protein biomarker panel that could discriminate glioblastoma patients from controls and increase diagnostic accuracy.
resultsIn this study, SELDI-ToF MS technology was used to screen potential protein patterns in glioblastoma patients serum; furthermore, LC-MS/MS technology was applied to identify the candidate biomarkers peaks. Through these proteomic approaches, three proteins S100A8, S100A9 and CXCL4 were selected as putative biomarkers and confirmed by ELISA. Next step was to validate the above mentioned molecules as biomarkers through identification of protein expression by Western blot in tumoral versus peritumoral tissue.
conclusionsProteomic technologies have been used to investigate the protein profile of glioblastoma patients and established several potential diagnostic biomarkers. While it is unlikely for a single biomarker to be highly effective for glioblastoma diagnostic, our data proposed an alternative and efficient approach by using a novel combination of multiple biomarkers.
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