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Related Concept Videos

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  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Targeted Multiplex Validation Of Csf Proteomic Biomarkers: Implications For Differentiation Of Pcnsl From Tumor-free Controls And Other Brain Tumors

Targeted multiplex validation of CSF proteomic biomarkers: implications for differentiation of PCNSL from tumor-free controls and other brain tumors

Jingjing Ma1, Zhiguang Lin1, Yaqi Zhang2

  • 1Department of Hematology, Huashan Hospital, Fudan University, Shanghai, China.

Frontiers in Immunology
|August 15, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a cerebrospinal fluid (CSF) proteomic panel for diagnosing primary central nervous system lymphoma (PCNSL). The panel accurately differentiates PCNSL from other brain tumors and controls, offering a less invasive diagnostic tool.

Area of Science:

  • Neuro-oncology
  • Proteomics
  • Biomarker Discovery

Background:

  • Primary central nervous system lymphoma (PCNSL) diagnosis is challenging due to imaging similarities with other brain tumors and invasive biopsy requirements.
  • Current diagnostic methods for PCNSL often involve invasive procedures like stereotactic brain lesion biopsy, which are not always feasible or definitive.

Purpose of the Study:

  • To validate previous proteomic profiling of cerebrospinal fluid (CSF) in PCNSL.
  • To develop and validate a novel CSF-based proteomic panel for accurate diagnosis and differentiation of PCNSL.

Main Methods:

  • Targeted proteomics analysis using liquid chromatography tandem-mass spectrometry (LC-MS/MS) on CSF samples.
  • Collected CSF from 30 PCNSL patients, 30 with other brain tumors, and 31 tumor-free controls.
Keywords:
cerebrospinal fluid (CSF)diffuse large B-cell lymphoma (DLBCL)liquid chromatography tandem-mass spectrometry (LC-MS/MS)

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  • Selected and optimized proteomic panels for diagnostic accuracy.
  • Main Results:

    • The developed proteomic panels achieved high diagnostic accuracy, with an Area Under the Curve (AUC) of 0.873 for PCNSL vs. controls and 0.937 for PCNSL vs. other brain tumors.
    • Pathway analysis revealed distinct molecular signatures associated with PCNSL diagnosis and differentiation, including extracellular matrix interactions and signaling pathways.
    • The CSF proteomic panel demonstrated significant potential for distinguishing PCNSL from other neurological conditions.

    Conclusions:

    • A CSF-based proteomic panel offers a promising, less invasive approach for accurate PCNSL diagnosis and differentiation.
    • This proteomic signature may overcome limitations of current diagnostic techniques, potentially improving patient management and outcomes.
    • Further clinical validation is warranted to integrate this proteomic panel into routine diagnostic workflows for PCNSL.
    primary central nervous system lymphoma (PCNSL)
    targeted proteomics