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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
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Multidimensional Proteomic Landscape Reveals Distinct Activated Pathways Between Human Brain Tumors
Shuang Yang1,2, Yongtao Zheng1,3, Chengbin Zhou3
1Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200241, P. R. China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|December 24, 2024
Summary
This study reveals molecular differences between brain metastases and gliomas using proteomics. It identifies potential biomarkers for diagnosis and therapeutic targets, advancing precision medicine for brain tumors.
Area of Science:
- Oncology
- Proteomics
- Molecular Biology
Background:
- Brain tumors, including brain metastases (BrMs) and gliomas, present significant mortality and clinical challenges.
- Current understanding of the molecular pathophysiology of these distinct brain tumors remains incomplete.
- Multidimensional proteomic analysis offers a pathway to elucidate shared and tumor-specific characteristics.
Purpose of the Study:
- To present a multidimensional proteomic landscape of BrMs and gliomas at tissue and plasma levels.
- To infer tumor-specific molecular pathophysiology and identify novel biomarkers.
- To discover potential therapeutic targets for precision medicine.
Main Methods:
- Proteomic analysis of tissue and plasma samples from BrMs and gliomas.
- Differential pathway analysis, focusing on the PI3K-Akt signaling pathway.
- Identification and validation of potential protein and phosphosite biomarkers.
Main Results:
- Significant molecular disparities identified between BrMs and gliomas, including distinct PI3K-Akt pathway activation.
- Novel proteins (e.g., NSUN2, TM9SF3) and phosphosites (e.g., PRKCG_S330) correlated with clinical traits, suggesting potential immunohistochemistry biomarkers.
- Altered phosphosites and glycosites on FN1 identified as potential therapeutic targets.
- Three biomarker panels (19 biomarkers total) developed for discriminating brain tumors from controls.
Conclusions:
- This comprehensive proteomic dataset provides valuable insights into brain tumor pathophysiology.
- Identified biomarkers offer potential for improved diagnosis and prognosis of BrMs and gliomas.
- Findings support the advancement of targeted therapy and immunotherapy in precision oncology for brain cancer patients.

