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Metabolomics, thanks to advances in mass spectrometry, allows for the analysis of cellular metabolites to better understand biological processes. In oncology, it provides a global view of metabolic alterations in tumors and enables the classification of cancers based on various medical parameters using advanced statistical methods (machine learning). Its low cost and speed make it a promising approach in personalized medicine. Cancers of the upper aerodigestive tract (UADT), the fifth most common cancer in France, are often diagnosed late, reducing survival chances (35-50% at five years). Identifying a specific metabolomic signature for these cancers could facilitate early detection, assess treatment response, and rapidly detect recurrences. Additionally, HPV-induced tumors may exhibit a distinct metabolic profile compared to those caused by tobacco and alcohol. Currently, no published
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