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Proteomic landscape of primary and metastatic brain tumors for heterogeneity discovery.
Yang, Shuang; Zhou, Chengbin; Zhang, Lei; Xiong, Yueting; Zheng, Yongtao; Bian, Liuguan; Liu, Xiaohui.
Affiliation
  • Yang S; Institutes of Biomedical Sciences, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
  • Zhou C; Department of Neurosurgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang L; Institutes of Biomedical Sciences, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
  • Xiong Y; Institutes of Biomedical Sciences, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
  • Zheng Y; Department of Neurosurgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Bian L; Department of Neurosurgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Liu X; Institutes of Biomedical Sciences, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China.
Proteomics Clin Appl ; 18(2): e2300010, 2024 Mar.
Article in En | MEDLINE | ID: mdl-37726528
ABSTRACT

PURPOSE:

Despite recent advancements in our understanding of driver gene mutations and heterogeneity within brain tumors, whether primary or metastatic (also known as secondary), our comprehension of proteomic changes remains inadequate. The aim of this study is to provide an informative source for brain tumor researches, and distinguish primary brain tumors and secondary brain tumors from extracranial origins based on proteomic analysis. EXPERIMENTAL

DESIGN:

We assembled the most frequent brain tumors as follows gliomas from WHO grade 2 to 4, with IDH1 mutations and wildtypes; brain metastases (BrMs) originating from lung cancer (LC), breast cancer (BC), ovarian cancer (OC), and colorectal cancer (CC). A total of 29 tissue samples were analyzed by label free quantitative mass spectrometry-based proteomics.

RESULTS:

In total, 8165 protein groups were quantified, of which 4383 proteins were filtered at 50% valid intensity values for downstream analysis. Proteomic analysis of BrMs reveals conserved features shared among multiple origins. While proteomic heterogeneities were found for discriminating different grades of gliomas, as well as IDH1 mutant and wildtype gliomas. In addition, notable distinctions were observed at the pathway level between BrMs and gliomas. Specifically, BrMs exhibited characteristic pathways focused on proliferation and immunomodulation after colonizing the brain, whereas gliomas primarily engaged in invasion processes. CONCLUSIONS AND CLINICAL RELEVANCE We characterized an extensive proteomic landscape of BrMs and gliomas. These findings have promising implications for the development of targeted therapies for BrMs and gliomas.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Glioma Limits: Humans Language: En Journal: Proteomics Clin Appl Journal subject: BIOQUIMICA Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Glioma Limits: Humans Language: En Journal: Proteomics Clin Appl Journal subject: BIOQUIMICA Year: 2024 Document type: Article Affiliation country:
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