Literature DB >> 25040579

Proteomics for the diagnosis of thyroid lesions: preliminary report.

F Pagni1, V Mainini2, M Garancini3, F Bono1, A Vanzati1, V Giardini3, M Scardilli3, P Goffredo3, A J Smith2, M Galli2, G De Sio2, F Magni2.   

Abstract

OBJECTIVE: Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a unique proteomic technology that explores the spatial distribution of biomolecules directly in situ, thus integrating molecular and morphological information. The possibility of correlating distribution maps of multiple analyses with cytological features makes it an ideal research tool for discovering new diagnostic markers. A previous study showed that MALDI-IMS could help discrimination between different types of thyroid lesions, especially papillary thyroid carcinoma (PTC); the present feasibility study on ex vivo fine needle aspiration (FNA) smears describes its potential in detecting new proteomic targets of other thyroid lesions (follicular lesions, medullary carcinoma).
METHODS: MALDI-IMS was conducted on ex vivo FNAs obtained from surgical specimens and corresponding in vivo samples. Differences between proteomic profiles of different thyroid lesions were compared.
RESULTS: Comparing the protein profiles of hyperplastic nodules obtained from three different patients with each other, and with a new PTC, showed a high degree of concordance, indicating good reproducibility of the IMS technology on cytological samples, suggesting its potential as a tool for biomarker discovery. Furthermore, comparison of the average proteomic profiles of hyperplastic nodules with a Hürthle cell adenoma revealed significant differences, underlying the capability of MALDI-IMS to distinguish between different thyroid lesions. Finally, the proteomic profile of medullary thyroid carcinoma was also characterized.
CONCLUSIONS: Our results confirmed the possible role of MALDI-IMS in the search for diagnostic targets of PTC and follicular lesions, which could be applied in larger trials aimed at the identification of proteins, convertible to cost-effective diagnostic tools such as immunohistochemistry. These tests could be used to analyse in vivo cytological smears, improving the preoperative diagnosis of indeterminate thyroid nodules.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  MALDI-IMS; thyroid follicular lesions; Matrix-assisted laser desorption/ionization; fine needle aspiration cytology; imaging mass spectrometry; thyroid carcinoma; proteomics

Mesh:

Substances:

Year:  2014        PMID: 25040579     DOI: 10.1111/cyt.12166

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  6 in total

1.  Evaluation of the Italian cytological subclassification of thyroid indeterminate nodules into TIR-3A and TIR-3B: a retrospective study of 290 cases with histological correlation from a single institution.

Authors:  E Rullo; G Minelli; D Bosco; F Nardi; V Ascoli
Journal:  J Endocrinol Invest       Date:  2017-09-25       Impact factor: 4.256

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

Authors:  Giulia Capitoli; Isabella Piga; Vincenzo L'Imperio; Francesca Clerici; Davide Leni; Mattia Garancini; Gabriele Casati; Stefania Galimberti; Fulvio Magni; Fabio Pagni
Journal:  Int J Mol Sci       Date:  2022-04-09       Impact factor: 6.208

Review 3.  Molecular Signature of Indeterminate Thyroid Lesions: Current Methods to Improve Fine Needle Aspiration Cytology (FNAC) Diagnosis.

Authors:  Silvia Cantara; Carlotta Marzocchi; Tania Pilli; Sandro Cardinale; Raffaella Forleo; Maria Grazia Castagna; Furio Pacini
Journal:  Int J Mol Sci       Date:  2017-04-06       Impact factor: 5.923

4.  A Support Vector Machine Classification of Thyroid Bioptic Specimens Using MALDI-MSI Data.

Authors:  Manuel Galli; Italo Zoppis; Gabriele De Sio; Clizia Chinello; Fabio Pagni; Fulvio Magni; Giancarlo Mauri
Journal:  Adv Bioinformatics       Date:  2016-05-17

5.  MALDI-MSI as a Complementary Diagnostic Tool in Cytopathology: A Pilot Study for the Characterization of Thyroid Nodules.

Authors:  Giulia Capitoli; Isabella Piga; Stefania Galimberti; Davide Leni; Angela Ida Pincelli; Mattia Garancini; Francesca Clerici; Allia Mahajneh; Virginia Brambilla; Andrew Smith; Fulvio Magni; Fabio Pagni
Journal:  Cancers (Basel)       Date:  2019-09-16       Impact factor: 6.639

Review 6.  Multi-omics Signatures and Translational Potential to Improve Thyroid Cancer Patient Outcome.

Authors:  Myriem Boufraqech; Naris Nilubol
Journal:  Cancers (Basel)       Date:  2019-12-10       Impact factor: 6.639

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.