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Deciphering Biomarkers for Leptomeningeal Metastasis in Malignant Hemopathies (Lymphoma/Leukemia) Patients by Comprehensive Multipronged Proteomics Characterization of Cerebrospinal Fluid

  • Pablo Juanes-Velasco
  • , Norma Galicia
  • , Elisa Pin
  • , Ricardo Jara-Acevedo
  • , Javier Carabias-Sánchez
  • , Rodrigo García-Valiente
  • , Quentin Lecrevisse
  • , Carlos Eduardo Pedreira
  • , Rafael Gongora
  • , Jose Manuel Sanchez-Santos
  • , H. ctor Lorenzo-Gil
  • , Alicia Landeira-Viñuela
  • , Halin Bareke
  • , Alberto Orfao
  • , Peter Nilsson
  • , Manuel Fuentes*
  • *Corresponding author for this work
  • Universidad de Salamanca
  • KTH Royal Institute of Technology
  • Immunostep S.L. Institute of Cancer Research
  • Universidade Federal do Rio de Janeiro

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In the present work, leptomeningeal disease, a very destructive form of systemic cancer, was characterized from several proteomics points of view. This pathology involves the invasion of the leptomeninges by malignant tumor cells. The tumor spreads to the central nervous system through the cerebrospinal fluid (CSF) and has a very grim prognosis; the average life expectancy of patients who suffer it does not exceed 3 months. The early diagnosis of leptomeningeal disease is a challenge because, in most of the cases, it is an asymptomatic pathology. When the symptoms are clear, the disease is already in the very advanced stages and life expectancy is low. Consequently, there is a pressing need to determine useful CSF proteins to help in the diagnosis and/or prognosis of this disease. For this purpose, a systematic and exhaustive proteomics characterization of CSF by multipronged proteomics approaches was performed to determine different protein profiles as potential biomarkers. Proteins such as PTPRC, SERPINC1, sCD44, sCD14, ANPEP, SPP1, FCGR1A, C9, sCD19, and sCD34, among others, and their functional analysis, reveals that most of them are linked to the pathology and are not detected on normal CSF. Finally, a panel of biomarkers was verified by a prediction model for leptomeningeal disease, showing new insights into the research for potential biomarkers that are easy to translate into the clinic for the diagnosis of this devastating disease.
Original languageEnglish
Article number449
JournalCancers
Volume14
Issue number2
DOIs
Publication statusPublished - 1 Jan 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarkers
  • CSF-stabilizing reagents
  • Cerebrospinal fluid (CSF)
  • High-abundant protein depletion
  • LC-MS/MS
  • Leptomeningeal metastasis (LM)
  • Modelling leptomeningeal disease
  • Protein microarrays
  • Protein-based biomarker
  • Proteomic analysis
  • Tumor infiltrating

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