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

CSF-stabilizing reagents LC-MS/MS biomarkers cerebrospinal fluid (CSF) high-abundant protein depletion leptomeningeal metastasis (LM) modelling leptomeningeal disease protein microarrays protein-based biomarker proteomic analysis tumor infiltrating

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
17 Jan 2022
Historique:
received: 24 11 2021
revised: 04 01 2022
accepted: 06 01 2022
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 22 1 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35053611
pii: cancers14020449
doi: 10.3390/cancers14020449
pmc: PMC8773653
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Pablo Juanes-Velasco (P)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Norma Galicia (N)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.
Proteomics Unit, Cancer Research Centre-IBMCC, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Elisa Pin (E)

Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 11428 Stockholm, Sweden.

Ricardo Jara-Acevedo (R)

Immunostep S.L. Institute of Cancer Research, Av. Universidad de Coimbra, 37007 Salamanca, Spain.

Javier Carabias-Sánchez (J)

Proteomics Unit, Cancer Research Centre-IBMCC, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Rodrigo García-Valiente (R)

Proteomics Unit, Cancer Research Centre-IBMCC, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Quentin Lecrevisse (Q)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Carlos Eduardo Pedreira (CE)

Systems and Computing Department (COPPE-PESC), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-914, Brazil.

Rafael Gongora (R)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Jose Manuel Sanchez-Santos (JM)

Statistics Department, University of Salamanca, 37008 Salamanca, Spain.

Héctor Lorenzo-Gil (H)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Alicia Landeira-Viñuela (A)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Halin Bareke (H)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Alberto Orfao (A)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Peter Nilsson (P)

Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, 11428 Stockholm, Sweden.

Manuel Fuentes (M)

Deparment of Medicine and General Servive of Cytometry, Cancer Research Centre-IBMCC, CSIC-USAL, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.
Proteomics Unit, Cancer Research Centre-IBMCC, IBSAL, Campus Miguel de Unamuno s/n, University of Salamanca-CSIC, 37007 Salamanca, Spain.

Classifications MeSH