ETA2024 Poster Presentations Basic thyroid cancer research-1 (10 abstracts)
Maldi-ms imaging in niftp diagnosis: an alternative approach
Fabio Pagni 1 , Angela Greco 1 , Vanna Denti 2 , Nicola Fusco 3 , Mattia Garancini 4 , Isabella Piga 5 , Vincenzo L’imperio 1 , Fulvio Magni 2 , Stefania Galimberti 6 & Giulia Capitoli 6
1Università Degli Studi di Milano-Bicocca, Fondazione Irccs San Gerardo Dei Tintori, Department of Medicine and Surgery, Pathology, Italy; 2Università Degli Studi di Milano-Bicocca, Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, Italy; 3Istituto Europeo di Oncologia, Division of Pathology, Italy; 4Irccs San Gerardo Dei Tintori, Department of Surgery, Italy; 5Univeristà di Cagliari, Dipartimento di Scienze Biomediche, Italy; 6Università Degli Studi di Milano-Bicocca, Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, Italy
Objectives: This project, funded by a Ministerial Finalized Research grant, investigated the pathogenesis of follicular thyroid lesions using a combined genomic-proteomic approach (NGS and MALDI-MS) to recognize and characterize Non-invasive follicular thyroid neoplasms with papillary like nuclear features (NIFTPs) [1] and their potential clinically targetable proteogenetic targets.
Methods: A total of 95 patients undergoing thyroidectomy at IRCCS San Gerardo (Monza, Italy) were enrolled in the study. Real-time PCR and NGS were used for genomic profiling, while MALDI-MSI was employed for proteomic analysis [2,3].
Results: Results showed that nodules with RAS mutations exhibited a distinct protein signature compared to RAS wild-type nodules, which, conversely, showed similarities with hyperplastic lesions. Among the putative markers identified through proteomic analysis, an exploratory study on cyclophilin A was conducted.
Conclusions: In conclusion, this study allowed the development of an original and innovative protocol enabling the monitoring of RAS mutational status through the spatial visualization of proteins interacting with RAS, as well as opening up new ways for the application of mass spectrometry imaging technique to the study of other oncogenes, which could be deciphered from a proteomic perspective within their interactome context.
1. Thompson L. D., Mod. Pathol. 29, 698-707 (2016)
2. Mosele N., et al., Methods in Molecular Biology, 37-47 (2017)
3. Smith A., et al., J. Proteomics, 191, 114-123 (2019)
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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