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

Authors :
Jingjing Ma
Zhiguang Lin
Yaqi Zhang
Yun Ding
Qiming Tang
Yufeng Qian
Bo Jin
Luo, Ruben Y.
Wei-Li Liao
Thyparambil, Sheeno
Zhi Han
Chou, C. James
Schilling, James
Qing Li
Mengxue Zhang
Yunan Lin
Yan Ma
Sylvester, Karl G.
Nagpal, Seema
McElhinney, Doff B.
Source :
Frontiers in Immunology; 2024, p01-13, 13p
Publication Year :
2024

Abstract

Introduction: Primary central nervous system lymphoma (PCNSL) is a rare type of non-Hodgkin's lymphoma that affects brain parenchyma, eyes, cerebrospinal fluid, and spinal cord. Diagnosing PCNSL can be challenging because imaging studies often show similar patterns as other brain tumors, and stereotactic brain lesion biopsy conformation is invasive and not always possible. This study aimed to validate a previous proteomic profiling (PMID: 32610669) of cerebrospinal fluid (CSF) and develop a CSF-based proteomic panel for accurate PCNSL diagnosis and differentiation. Methods: CSF samples were collected from patients of 30 PCNSL, 30 other brain tumors, and 31 tumor-free/benign controls. Liquid chromatography tandemmass spectrometry targeted proteomics analysis was used to establish CSF-based proteomic panels. Results: Final proteomic panels were selected and optimized to diagnose PCNSL from tumor-free controls or other brain tumor lesions with an area under the curve (AUC) of 0.873 (95%CI: 0.723-0.948) and 0.937 (95%CI: 0.807- 0.985), respectively. Pathways analysis showed diagnosis panel features were significantly enriched in pathways related to extracellular matrices-receptor interaction, focal adhesion, and PI3K-Akt signaling, while prion disease, mineral absorption and HIF-1 signaling were significantly enriched with differentiation panel features. Discussion: This study suggests an accurate clinical test panel for PCNSL diagnosis and differentiation with CSF-based proteomic signatures, which may help overcome the challenges of current diagnostic methods and improve patient outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16643224
Database :
Complementary Index
Journal :
Frontiers in Immunology
Publication Type :
Academic Journal
Accession number :
179019499
Full Text :
https://doi.org/10.3389/fimmu.2024.1343109