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Multi-pronged proteomic analysis to study the glioma pathobiology using cerebrospinal fluid samples
Nikita Gahoi1,2, Darpan Malhotra1,3, Aliasgar Moiyadi4
1Wadhwani Research Center for Biosciences and Bioengineering, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Proteomics. Clinical Applications
|July 6, 2017
Summary
This study analyzed cerebrospinal fluid (CSF) proteomes in gliomas, revealing distinct protein profiles for different grades and IDH mutation statuses. These findings offer potential biomarkers for glioma diagnosis and prognosis.
Area of Science:
- Neuro-oncology
- Proteomics
- Biomarker Discovery
Background:
- Gliomas are aggressive brain tumors originating from glial cells.
- Current diagnosis relies on radiology and histochemistry.
- Understanding proteomic differences is crucial for glioma pathobiology.
Purpose of the Study:
- To perform a comprehensive quantitative proteomic analysis of cerebrospinal fluid (CSF) across different glioma grades.
- To identify proteome-level differences between high-grade and low-grade gliomas.
- To investigate proteomic distinctions based on IDH mutation status.
Main Methods:
- Differential proteomic analysis of CSF samples from high-grade (n=12), low-grade (n=5), and control (n=3) gliomas.
- Utilized two complementary quantitative proteomic approaches: 2D-DIGE and iTRAQ.
- Comparative analysis of IDH wild-type (n=3) and IDH mutant (n=5) gliomas.
Main Results:
- Elevated levels of proteins such as haptoglobin, transthyretin, and complement factor H were observed in higher-grade gliomas.
- Bioinformatics analysis linked dysregulated CSF proteins to lipid metabolism, complement cascades, and extracellular matrix remodeling.
- Glioma patients with IDH mutations showed increased levels of proteins involved in oxidative stress response.
Conclusions:
- This study presents the first comprehensive proteome-level investigation of different glioma grades using CSF.
- Identified grade and sub-type specific proteomic alterations, providing insights into glioma pathobiology.
- A panel of differentially abundant CSF proteins may serve as potential prognostic and monitoring markers for gliomas upon further validation.
