Measurement of 3-O-methyldopa from dried plasma microsamples by high-resolution mass spectrometry: A tool for the diagnosis of patients with high-risk neuroblastoma.

3-O-methyldopa 3-OMD Dried Plasma Spot HRMS Neuroblastoma

Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
15 Oct 2024
Historique:
received: 16 04 2024
revised: 14 10 2024
accepted: 14 10 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 17 10 2024
Statut: aheadofprint

Résumé

Risk assessment at diagnosis is crucial for neuroblastoma (NB) in order to address patients at high-risk to the most timely and appropriate treatments. 3-O-methyldopa (3-OMD), a direct metabolite of L-Dopa, is a promising biomarker of NB at diagnosis able to stratify high-risk patients. We show the development and validation of a method for measuring 3-OMD from dried plasma samples (DPS) and plasma using liquid chromatography coupled with high resolution mass spectrometry (LC-HRMS) on a Thermo Fisher Scientific Orbitrap Exploris 120. The method was accurate and reproducible in the range 7.8-4000 ng/mL, from small amounts (50 mL) of plasma and DPS (obtained starting from 30 mL plasma). 3-OMD concentrations measured in plasma and DPS were highly correlated (R = 0.99 95 %CI 0.993-0.996). Differences of 3-OMD levels across stages L1 and M and L1 and L2 (p-value < 0.05) were statistically significant. Receiving Operator Curve (ROC) analysis showed that 3-OMD was able to discriminate patients at high-risk with high sensitivity and specificity both from plasma or DPS (AUC = 0.8295 %CI 0.71-0.94, P < 0.0001). 3-OMD is confirmed as an interesting biomarker of high-risk NB. The described method is an added value for further prospective studies involving multiple sites. The stability of 3-OMD in DPS allows for easy shipment and storage at room temperature.

Sections du résumé

BACKGROUND BACKGROUND
Risk assessment at diagnosis is crucial for neuroblastoma (NB) in order to address patients at high-risk to the most timely and appropriate treatments. 3-O-methyldopa (3-OMD), a direct metabolite of L-Dopa, is a promising biomarker of NB at diagnosis able to stratify high-risk patients.
METHODS METHODS
We show the development and validation of a method for measuring 3-OMD from dried plasma samples (DPS) and plasma using liquid chromatography coupled with high resolution mass spectrometry (LC-HRMS) on a Thermo Fisher Scientific Orbitrap Exploris 120.
RESULTS RESULTS
The method was accurate and reproducible in the range 7.8-4000 ng/mL, from small amounts (50 mL) of plasma and DPS (obtained starting from 30 mL plasma). 3-OMD concentrations measured in plasma and DPS were highly correlated (R = 0.99 95 %CI 0.993-0.996). Differences of 3-OMD levels across stages L1 and M and L1 and L2 (p-value < 0.05) were statistically significant. Receiving Operator Curve (ROC) analysis showed that 3-OMD was able to discriminate patients at high-risk with high sensitivity and specificity both from plasma or DPS (AUC = 0.8295 %CI 0.71-0.94, P < 0.0001).
CONCLUSIONS CONCLUSIONS
3-OMD is confirmed as an interesting biomarker of high-risk NB. The described method is an added value for further prospective studies involving multiple sites. The stability of 3-OMD in DPS allows for easy shipment and storage at room temperature.

Identifiants

pubmed: 39419313
pii: S0009-8981(24)02258-7
doi: 10.1016/j.cca.2024.120005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120005

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Margherita Biondi (M)

Unit of Biochemistry, Pharmacology and Newborn Screening, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Sebastiano Barco (S)

Unit of Biochemistry, Pharmacology and Newborn Screening, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy. Electronic address: sebastianobarco@gaslini.org.

Davide Cangelosi (D)

Clinical Bioinformatics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Alessia Cafaro (A)

Unit of Biochemistry, Pharmacology and Newborn Screening, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Martina Morini (M)

Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Federica Pigliasco (F)

Unit of Biochemistry, Pharmacology and Newborn Screening, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Lucilla Rossi (L)

Unit of Biochemistry, Pharmacology and Newborn Screening, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy; Department of Chemical Sciences - DiSC, University of Padua, Padua, Italy.

Fabrizio Mancin (F)

Department of Chemical Sciences - DiSC, University of Padua, Padua, Italy.

Massimo Conte (M)

Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Alberto Garaventa (A)

Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Giuliana Cangemi (G)

Unit of Biochemistry, Pharmacology and Newborn Screening, Central Laboratory of Analysis, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Classifications MeSH