Combining Metabolomics and Machine Learning to Identify Diagnostic and Prognostic Biomarkers in Patients with Non-Small Cell Lung Cancer Pre- and Post-Radiation Therapy

Combining Metabolomics and Machine Learning to Identify Diagnostic and Prognostic Biomarkers in Patients with Non-Small Cell Lung Cancer Pre- and Post-Radiation Therapy

Lung cancer is the leading cause of cancer-related deaths globally, with non-small cell lung cancer (NSCLC) accounting for over 85% of cases and poor prognosis in advanced stages. This study explored shifts in circulating metabolite levels in NSCLC patients versus healthy controls and examined the e...

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Bibliographic Details
Main Authors: Mauricio Murcia-Mejía, Marta Canela-Capdevila, Raquel García-Pablo, Andrea Jiménez-Franco, Juan Manuel Jiménez-Aguilar, Joan Badía, Rocío Benavides-Villarreal, Johana C. Acosta, Mónica Arguís, Alina-Iuliana Onoiu, Helena Castañé, Jordi Camps, Meritxell Arenas, Jorge Joven
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Biomolecules
Subjects:
biomarkers
lung cancer
metabolomics
radiation therapy
stereotactic body radiation therapy
Online Access:https://www.mdpi.com/2218-273X/14/8/898

Internet

https://www.mdpi.com/2218-273X/14/8/898

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