Plasma metabolomic signatures of all and cause-specific cancers: a multi-platform population-based study
Yu Shuai, Rikje Ruiter, Bruno H. Stricker, M. Arfan Ikram, Mohsen Ghanbari

TL;DR
This study identifies metabolites linked to various cancers, which could help in early diagnosis and understanding cancer metabolism.
Contribution
The study identifies novel metabolomic signatures associated with prevalent and incident cancers using two platforms in a large population.
Findings
68 metabolites were significantly associated with prevalent blood cancer after adjustment.
19 metabolites were linked to incident blood cancer during follow-up.
Metabolites associated with both prevalent and incident cancers suggest potential biomarkers.
Abstract
Early diagnosis of cancer is essential for improving patient outcomes. Metabolomics analysis has shown promise in detecting cancer and distinguishing its metastatic burdens in previous studies. We hypothesized that metabolomics data can differentiate between people with and without cancer at a population level, uncovering new biomarkers and deepening our understanding of cancer metabolism. A total of 1,386 metabolites were measured by two commonly used metabolomics platforms: Nightingale and Metabolon, in baseline plasma samples from participants in the population-based Rotterdam Study, with sample sizes of 2,538 and 5,057, respectively. Logistic regression and competing risk Cox proportional hazards models were employed to examine associations between these metabolites and both baseline prevalent and incident during follow-up of all and cause-specific cancers. Statistical…
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Taxonomy
TopicsMetabolomics and Mass Spectrometry Studies · Cancer, Hypoxia, and Metabolism · Cancer, Lipids, and Metabolism
