Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantitative Proteomic Analysis of Meningiomas for the Identification of Surrogate Protein Markers

21 Nov 2014

Abstract excerpt

Meningiomas are the most common non-glial tumors of the brain and spine. Pathophysiology and definite histological grading of meningiomas are frequently found to be deceptive due to their unusual morphological features and locations. Here for the first time we report a comprehensive serum proteomic analysis of different grades of meningiomas by using multiple quantitative proteomic and immunoassay-based...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Meningioma and schwannoma management
Share to Peptidase Inhibition and Analysis
Share to S100 Proteins and Annexins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 25413266
DOI: 10.1038/srep07140

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantitative Proteomic Analysis of Meningiomas for the Identification of Surrogate Protein MarkersPMID 25413266Read ↗

A large-scale targeted proteomics of serum and tissue shows the utility of classifying high grade and low grade meningioma tumorsSemantic proximity Read ↗

Proteomic analysis of meningiomas reveals clinically distinct molecular patternsSemantic proximity Read ↗

Comparative Proteomic Profiles of Meningioma SubtypesSemantic proximity Read ↗

Multi-pronged proteomic analysis to study the glioma pathobiology using cerebrospinal fluid samples.Semantic proximity Read ↗

Meningioma protein-protein interaction network.Semantic proximity Read ↗

Advances in meningioma genomics, proteomics, and epigenetics: insights into biomarker identification and targeted therapiesSemantic proximity Read ↗

Identification of a novel oxidative stress-based molecular classification and treatment vulnerabilities in WHO grade II/III meningiomasSemantic proximity Read ↗

A clinically applicable integrative molecular classification of meningiomas.Semantic proximity Read ↗

The heterogeneity of meningioma revealed by multiparameter analysis: infiltrative and non-infiltrative clinical phenotypes.Semantic proximity Read ↗

Glioma Pathophysiology: Insights Emerging from ProteomicsSemantic proximity Read ↗

Glial fibrillary acidic protein, neurofilament light, matrix metalloprotease 3 and fatty acid binding protein 4 as non-invasive brain tumor biomarkersSemantic proximity Read ↗

WHO grade and pathological markers of meningiomas: Clinical and prognostic roleSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.