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Glioblastoma serum biomarkers identification by iTRAQ

ABSTRACT: Glioblastoma (GBM) is the most aggressive form of astrocytoma and is difficult to diagnose at early stage. In this study, our goal is to find and validate biomarkers for GBM through serum proteome expression profiling, which would assist in the early diagnosis, and management of GBMs. In the discovery phase, we performed shotgun proteomics of control and GBM pooled serum samples using untargeted 4-plex iTRAQ (isobaric Tags for Relative and Absolute Quantitation) mass spectrometry to identify candidate biomarkers with differential abundance The two candidates, S100A8 and S100A9 were prioritized for verification based on their maximal abundance in GBM serum in our discovery phase.

INSTRUMENT(S): LTQ Orbitrap XL, LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

DISEASE(S): Brain Glioblastoma Multiforme

SUBMITTER: Anjali Arora

LAB HEAD: Prof. Kumaraval Somasundaram

PROVIDER: PXD012207 | Pride | 2019-03-04

REPOSITORIES: Pride

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Serum biomarkers identification by iTRAQ and verification by MRM: S100A8/S100A9 levels predict tumor-stroma involvement and prognosis in Glioblastoma.

Arora Anjali A Patil Vikas V Kundu Paramita P Kondaiah Paturu P Hegde A S AS Arivazhagan A A Santosh Vani V Pal Debnath D Somasundaram Kumaravel K

Scientific reports 20190226 1

Despite advances in biology and treatment modalities, the prognosis of glioblastoma (GBM) remains poor. Serum reflects disease macroenvironment and thus provides a less invasive means to diagnose and monitor a diseased condition. By employing 4-plex iTRAQ methodology, we identified 40 proteins with differential abundance in GBM sera. The high abundance of serum S100A8/S100A9 was verified by multiple reaction monitoring (MRM). ELISA and MRM-based quantitation showed a significant positive correla ...[more]

PMID: 30808902

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