Literature DB >> 27257090

Evaluating Ultra-long-Chain Fatty Acids as Biomarkers of Colorectal Cancer Risk.

Kelsi Perttula1, William M B Edmands1, Hasmik Grigoryan1, Xiaoming Cai1, Anthony T Iavarone2, Marc J Gunter3, Alessio Naccarati4, Silvia Polidoro4, Alan Hubbard1, Paolo Vineis5, Stephen M Rappaport6.   

Abstract

BACKGROUND: Cross-sectional studies reported a novel set of hydroxylated ultra-long-chain fatty acids (ULCFA) that were present at significantly lower levels in colorectal cancer cases than controls. Follow-up studies suggested that these molecules were potential biomarkers of protective exposure for colorectal cancer. To test the hypothesis that ULCFAs reflect causal pathways, we measured their levels in prediagnostic serum from incident colorectal cancer cases and controls.
METHODS: Serum from 95 colorectal cancer patients and 95 matched controls was obtained from the Italian arm of the European Prospective Investigation into Cancer and Nutrition cohort and analyzed by liquid chromatography-high-resolution mass spectrometry. Levels of 8 ULCFAs were compared between cases and controls with paired t tests and a linear model that used time to diagnosis (TTD) to determine whether case-control differences were influenced by disease progression.
RESULTS: Although paired t tests detected significantly lower levels of four ULCFAs in colorectal cancer cases, confirming earlier reports, the case-control differences diminished significantly with increasing TTD (7 days-14 years).
CONCLUSION: Levels of several ULCFAs were lower in incident colorectal cancer cases than controls. However, because case-control differences decreased with increasing TTD, we conclude that these molecules were likely consumed by processes related to cancer progression rather than causal pathways. IMPACT: ULCFA levels are unlikely to represent exposures that protect individuals from colorectal cancer. Future research should focus on the diagnostic potential and origins of these molecules. Our use of TTD as a covariate in a linear model provides an efficient method for distinguishing causal and reactive biomarkers in biospecimens from prospective cohorts. Cancer Epidemiol Biomarkers Prev; 25(8); 1216-23. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27257090      PMCID: PMC6319388          DOI: 10.1158/1055-9965.EPI-16-0204

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  6 in total

1.  Cys34 Adductomics Links Colorectal Cancer with the Gut Microbiota and Redox Biology.

Authors:  Hasmik Grigoryan; Courtney Schiffman; Marc J Gunter; Alessio Naccarati; Silvia Polidoro; Sonia Dagnino; Sandrine Dudoit; Paolo Vineis; Stephen M Rappaport
Journal:  Cancer Res       Date:  2019-10-22       Impact factor: 12.701

2.  Untargeted metabolomics of newborn dried blood spots reveals sex-specific associations with pediatric acute myeloid leukemia.

Authors:  Lauren Petrick; Partow Imani; Kelsi Perttula; Yukiko Yano; Todd Whitehead; Catherine Metayer; Courtney Schiffman; Georgia Dolios; Sandrine Dudoit; Stephen Rappaport
Journal:  Leuk Res       Date:  2021-04-24       Impact factor: 3.715

3.  Filtering procedures for untargeted LC-MS metabolomics data.

Authors:  Courtney Schiffman; Lauren Petrick; Kelsi Perttula; Yukiko Yano; Henrik Carlsson; Todd Whitehead; Catherine Metayer; Josie Hayes; Stephen Rappaport; Sandrine Dudoit
Journal:  BMC Bioinformatics       Date:  2019-06-14       Impact factor: 3.169

4.  Untargeted lipidomic features associated with colorectal cancer in a prospective cohort.

Authors:  Kelsi Perttula; Courtney Schiffman; William M B Edmands; Lauren Petrick; Hasmik Grigoryan; Xiaoming Cai; Marc J Gunter; Alessio Naccarati; Silvia Polidoro; Sandrine Dudoit; Paolo Vineis; Stephen M Rappaport
Journal:  BMC Cancer       Date:  2018-10-19       Impact factor: 4.430

5.  Redefining environmental exposure for disease etiology.

Authors:  Stephen M Rappaport
Journal:  NPJ Syst Biol Appl       Date:  2018-09-01

Review 6.  Changes in lipids composition and metabolism in colorectal cancer: a review.

Authors:  Alicja Pakiet; Jarosław Kobiela; Piotr Stepnowski; Tomasz Sledzinski; Adriana Mika
Journal:  Lipids Health Dis       Date:  2019-01-26       Impact factor: 3.876

  6 in total

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