Ex Vivo Thyroid Fine Needle Aspirations As an Alternative for MALDI-MSI Proteomic Investigation: Intra-patient Comparison

Overview

Journal Anal Bioanal Chem

Specialty Chemistry

Date 2020 Dec 5

PMID 33277997

Citations 4

Authors

Isabella Piga

Giulia Capitoli

Francesca Clerici

Allia Mahajneh

Virginia Brambilla

Andrew Smith

Davide Leni

Vincenzo LImperio

Stefania Galimberti

Fabio Pagni

Fulvio Magni

Affiliations

Soon will be listed here.

Abstract

Fine needle aspiration (FNA) is the reference standard for the diagnosis of thyroid nodules. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has been successfully used to discriminate the proteomic profiles of benign and malignant thyroid FNAs within the scope of providing support to pathologists for the classification of morphologically borderline cases. However, real FNAs provide a limited amount of material due to sample collection restrictions. Ex vivo FNAs could represent a valuable alternative, increasing sample size and the power of statistical conclusions. In this study, we compared the real and ex vivo MALDI-MSI proteomic profiles, extracted from thyrocyte containing regions of interest, of 13 patients in order to verify their similarity. Statistical analysis demonstrated the mass spectra similarity of the proteomic profiles by performing intra-patient comparison, using statistical similarity systems. In conclusion, these results show that post-surgical FNAs represent a possible alternative source of material for MALDI-MSI proteomic investigations in instances where pre-surgical samples are unavailable or the number of cells is scarce.

Citing Articles

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Biological mass spectrometry enables spatiotemporal 'omics: From tissues to cells to organelles.

Pade L, Stepler K, Portero E, DeLaney K, Nemes P Mass Spectrom Rev. 2023; 43(1):106-138.

PMID: 36647247 PMC: 10668589. DOI: 10.1002/mas.21824.

Cytomolecular Classification of Thyroid Nodules Using Fine-Needle Washes Aspiration Biopsies.

Capitoli G, Piga I, LImperio V, Clerici F, Leni D, Garancini M Int J Mol Sci. 2022; 23(8).

PMID: 35456973 PMC: 9028391. DOI: 10.3390/ijms23084156.

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