ReviewNeuro-oncology2011
Proteomics of gliomas: initial biomarker discovery and evolution of technology.
Review in Neuro-oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Proteomic analysis of cerebrospinal fluid: toward the identification of biomarkers for gliomas.Neurosurgical review · 2014Pooled it
- MALDI-TOF Mass Spectrometry for Glioblastoma Secretome Biomarker Screening: A Review of Challenges and Perspectives.Current issues in molecular biology · 2026Review
- Review
- A field resource for the glioma cerebrospinal fluid proteome: Impacts of resection and location on biomarker discovery.Neuro-oncology · 2025Article
- Point-of-care mass spectrometry metabolomic analysis enabling intraoperative brain tumor diagnosis.Theranostics · 2025Article
- Extracellular Matrix Structure and Interaction with Immune Cells in Adult Astrocytic Tumors.Cellular and molecular neurobiology · 2024Review
- MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma.International journal of molecular sciences · 2024Article
- Mechanistic insight into glioma through spatially multidimensional proteomics.Science advances · 2024Article
- Glial cell proteome using targeted quantitative methods for potential multi-diagnostic biomarkers.Clinical proteomics · 2023Article
- Mass spectrometry-based proteomics as an emerging tool in clinical laboratories.Clinical proteomics · 2023Review
- Article
- Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival.Nature communications · 2022Article
- Cysteine cathepsin C: a novel potential biomarker for the diagnosis and prognosis of glioma.Cancer cell international · 2022Article
- The Big Picture of Glioblastoma Malignancy: A Meta-Analysis of Glioblastoma Proteomics to Identify Altered Biological Pathways.ACS omega · 2021Article
- Article
- A Systems Approach to Brain Tumor Treatment.Cancers · 2021Review
- Liquid Biomarkers for Improved Diagnosis and Classification of CNS Tumors.International journal of molecular sciences · 2021Review
- Plasma-Derived Extracellular Vesicles Reveal Galectin-3 Binding Protein as Potential Biomarker for Early Detection of Glioma.Frontiers in oncology · 2021Article
- Quantitative MRI Biomarkers of Stereotactic Radiotherapy Outcome in Brain Metastasis.Scientific reports · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas are a group of aggressive brain tumors that diffusely infiltrate adjacent brain tissues, rendering them largely incurable, even with multiple treatment modalities and agents. Mostly asymptomatic at early stages, they present in several subtypes with astrocytic or oligodendrocytic features and invariably progress to malignant forms. Gliomas are difficult to classify precisely because of interobserver variability during histopathologic grading. Identifying biological signatures of each glioma subtype through protein biomarker profiling of tumor or tumor-proximal fluids is therefore of high priority. Such profiling not only may provide clues regarding tumor classification but may identify clinical biomarkers and pathologic targets for the development of personalized treatments. In the past decade, differential proteomic profiling techniques have utilized tumor, cerebrospinal fluid, and plasma from glioma patients to identify the first candidate diagnostic, prognostic, predictive, and therapeutic response markers, highlighting the potential for glioma biomarker discovery. The number of markers identified, however, has been limited, their reproducibility between studies is unclear, and none have been validated for clinical use. Recent technological advancements in methodologies for high-throughput profiling, which provide easy access, rapid screening, low sample consumption, and accurate protein identification, are anticipated to accelerate brain tumor biomarker discovery. Reliable tools for biomarker verification forecast translation of the biomarkers into clinical diagnostics in the foreseeable future. Herein we update the reader on the recent trends and directions in glioma proteomics, including key findings and established and emerging technologies for analysis, together with challenges we are still facing in identifying and verifying potential glioma biomarkers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.