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Distinct Metabolic Signatures Distinguish Lung, Colorectal and Ovarian Cancer

Tsiara, I.; Vouzaxaki, E.; Ekström, J.; Rameika, N.; Yang, F.; Jain, A.; Iglesias Alonso, A.; Sjöblom, T.; Globisch, D.

2026-04-13 oncology
10.64898/2026.04.08.26350309 medRxiv
Show abstract

Cancer-related casualties are the most common cause of death worldwide. The discovery of biomarkers is of utmost importance for diagnosis and disease monitoring. Herein, we performed a comprehensive metabolomics biomarker discovery effort in plasma from 615 lung, ovarian and colorectal cancer patients at diagnosis and 95 non-cancerous control subjects. This pan-cancer investigation identified specific panels of metabolites in the entire sample cohort with a high discriminating power and demonstrated by combined ROC AUC values of up to 0.95. The identified metabolites are mainly associated with lipid and amino acid metabolism as well as xenobiotic transformation. These metabolite panels of high predictive power provide new metabolic insights in these cancers and demonstrate the potential of metabolomics for improved diagnosis and monitoring disease progression.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.