Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets

Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets

Abstract Saliva, a non-invasive, self-collected liquid biopsy, holds promise for early gastric cancer (GC) screening. This study aims to assess the potential of saliva as a proxy for malignant gastric transformation and its diagnostic value through transcriptomic profiling. Leveraging transcriptomic...

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Bibliographic Details
Main Authors: Catarina Lopes, Andreia Brandão, Manuel R. Teixeira, Mário Dinis-Ribeiro, Carina Pereira
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Early screening
Salivaomics
Liquid biopsies
Biomarkers
Bioinformatics
Online Access:https://doi.org/10.1038/s41598-025-96864-0
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https://doi.org/10.1038/s41598-025-96864-0

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