ReviewBrain tumor research and treatment2022
Proteomics of Extracellular Vesicle in Glioblastoma.
Review in Brain tumor research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed, 7 citations in OpenAlex.
- MALDI-TOF Mass Spectrometry for Glioblastoma Secretome Biomarker Screening: A Review of Challenges and Perspectives.Current issues in molecular biology · 2026Review
- Cryogenic Electron Microscopy of Extracellular Vesicles from Temozolomide-Treated Glioblastoma Cells Reveals Great Morphological Heterogeneity.Nanomaterials (Basel, Switzerland) · 2026Article
- Article
- Stress-induced extracellular vesicles: insight into their altered proteomic composition and probable physiological role in cancer.Molecular and cellular biochemistry · 2025Review
- Extracellular Vesicles Carrying Tenascin-C are Clinical Biomarkers and Improve Tumor-Derived DNA Analysis in Glioblastoma Patients.ACS nano · 2025Article
- Review
- Article
- Hsp70 and Calcitonin Receptor Protein in Extracellular Vesicles from Glioblastoma Multiforme: Biomarkers with Putative Roles in Carcinogenesis and Potential for Differentiating Tumor Types.International journal of molecular sciences · 2024Article
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 at 1 institution in 1 country.
Funding
Abstract
Glioblastoma multiforme (GBM), a high-grade astrocytic brain tumor, has highly aggressive and heterogeneous phenotypes with active cellular invasion, angiogenesis, and immune system modulation in the tumor microenvironment driven by complex oncogenic mutations. This abnormal disease progression could be attributed to extracellular vesicles (EVs) containing diverse bioactive molecules, including proteins, genetic materials, lipids, and metabolites. Importantly, GBM-related EVs have emerged as key mediators in cancer progression, acting as carriers for the transfer of oncogenic proteins such as epidermal growth factor receptor variant III (EGFRvIII) and genetic materials (DNA and RNA). Remarkably, recent progress in EV analysis has enabled its purification with high confidence by estimating the purity level of isolated EVs. Thus, mass spectrometry-based proteomic analysis could generate highly reliable vesicular proteomes. Glioblastoma EV proteome studies have revealed the specific increase in vesicular protein cargo due to their oncogenic transformation, and these EV proteins are closely associated with cancer invasion. Moreover, their proteomic data reflects the molecular alterations that occur in parental GBM and provides potent diagnostic information in a minimally invasive manner in liquid biopsy. Thus, proteomic analysis of GBM EVs could provide an increased understanding of their biological properties and activity in the GBM microenvironment, and provide significant implications for advanced approaches in the diagnosis of these intractable tumors.
Indexed as
Identifiers
What OpenQuestion holds
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.