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Dataset Information

Biomarker identification through spatial proteomics for the characterization of indeterminate thyroid nodules.


ABSTRACT:

Purpose

The identification of novel molecular biomarkers may assist in the characterization of indeterminate thyroid nodules, which pose significant diagnostic challenges. Here, we aimed to explore the potential of proteomic analyses to support biomarker discovery in challenging thyroid lesions.

Methods

Linear Discriminant Analysis (LDA) was applied to Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) data from 44 thyroid neoplasms to select the most impactful molecular features for the classification of different tumor histologies, as well as for the distinction between NRAS-mutant (mNRAS) and NRAS-wild-type (wtNRAS) tumors. Relevant peaks were subsequently identified through nanoscale liquid chromatography electrospray ionization tandem mass

SUBMITTER: Capitoli G 

PROVIDER: S-EPMC12572012 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature