Novel metabolomic predictors of incident colorectal cancer in men and women

We identified prediagnostic CRC-associated metabolites with distinct sex-specific profiles. These results provide insight into CRC etiopathogenesis and have implications for risk prediction strategies.

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Publication Details

Journal
JNCI Journal of the National Cancer Institute
Published
2024-10-28
DOI
https://doi.org/10.1093/jnci/djae270
Citations
7
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.64

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article

Novel metabolomic predictors of incident colorectal cancer in men and women

A. Heather Eliassen, Mingyang Song, Jeffrey A. Meyerhardt, Edward L. Giovannucci et al.
7 citations
JNCI Journal of the National Cancer Institute
Metabolomics and Mass Spectrometry Studies
1.64
article

Novel metabolomic predictors of incident colorectal cancer in men and women

A. Heather Eliassen, Mingyang Song, Jeffrey A. Meyerhardt, Edward L. Giovannucci, Alaina M. Bever, Amit D. Joshi, David A. Drew, Rulla M. Tamimi, Charles S. Fuchs, Peter Kraft, Clary B. Clish, Oana A. Zeleznik, Connor M. Geraghty, Fred K. Tabung, Andrew T. Chan, Brendan J. Guercio, Kana Wu, Jonathan M. Downie, Walter Churchill Willett, Xuehong Zhang, Lina Jin
article en
7 citations

Abstract

We identified prediagnostic CRC-associated metabolites with distinct sex-specific profiles. These results provide insight into CRC etiopathogenesis and have implications for risk prediction strategies.

JNCI Journal of the National Cancer InstituteVol. 117(3)
Broad Institute (US), Brigham and Women's Hospital (US), Harvard University (US), Cornell University (US), Yale Cancer Center (US), Yale University (US), Massachusetts General Hospital (US), Dana-Farber Cancer Institute (US), Weill Cornell Medicine (US), The Ohio State University (US)
National Institutes of Health, Centers for Disease Control and Prevention, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Good health and well-being
Openalex Percentile: Top 16%
Metabolomics and Mass Spectrometry Studies
1.64
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