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

Multi-pronged proteomic analysis to study the glioma pathobiology using cerebrospinal fluid samples.

Proteomics. Clinical applications - 1 May 2018

Gahoi Nikita, Malhotra Darpan, Moiyadi Aliasgar, Varma Santosh G, Gandhi Mayuri N, Srivastava Sanjeeva

Abstract excerpt

PURPOSE: Gliomas are one of the most aggressive and lethal brain tumors arising from neoplastic transformation of astrocytes and oligodendrocytes. A comprehensive quantitative analysis of proteome level differences in cerebrospinal fluid (CSF) across different grades of gliomas for a better understanding of glioma pathobiology is carried out. EXPERIMENTAL DESIGN: Glioma patients are diagnosed by radiology and...

Read the complete abstract on PubMed

Topics

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

Share to Glioma
Share to Isocitrate Dehydrogenase

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Neoplasm Grading

Share to Proteomics

Source

Identifiers

PMID: 28679024
DOI: 10.1002/prca.201700056

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-pronged proteomic analysis to study the glioma pathobiology using cerebrospinal fluid samples.PMID 28679024Read ↗

Proteomic landscape of primary and metastatic brain tumors for heterogeneity discovery.Semantic proximity Read ↗

Proteomic landscape of primary and metastatic brain tumors for heterogeneity discoverySemantic proximity Read ↗

Proteomic landscape of primary and metastatic brain tumors for heterogeneity discoverySemantic proximity Read ↗

Glioma Pathophysiology: Insights Emerging from ProteomicsSemantic proximity Read ↗

Identification of astrocytomas through serum protein fingerprint using MALDI-TOF MS and machine learningSemantic proximity Read ↗

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

Integrated proteomic analysis of low-grade gliomas reveals contributions of 1p-19q co-deletion to oligodendroglioma.Semantic proximity Read ↗

Proteomic analysis of cerebrospinal fluid: toward the identification of biomarkers for gliomasSemantic proximity Read ↗

Proteomics separates adult-type diffuse high-grade gliomas in metabolic subgroups independent of 1p/19q codeletion and across IDH mutational status.Semantic proximity Read ↗

Quantitative Proteomic Analysis of Meningiomas for the Identification of Surrogate Protein MarkersSemantic proximity Read ↗

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence.Semantic proximity Read ↗

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrenceSemantic proximity Read ↗

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