ArticleBMC cancer2018
Untargeted lipidomic features associated with colorectal cancer in a prospective cohort.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- The Utility of Lipidomic Analysis in Colorectal Cancer Diagnosis and Prognosis-A Systematic Review of Recent Literature.International journal of molecular sciences · 2024Pooled it
- A Multiomic Approach Integrating Genomic and Metabolomic Data Highlights Colorectal Cancer Pathways.Journal of proteome research · 2026Article
- Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women's Health Initiative.Metabolites · 2024Article
- Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort.Cancer & metabolism · 2023Article
- HSA Adductomics Reveals Sex Differences in NHL Incidence and Possible Involvement of Microbial Translocation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Disturbed Plasma Lipidomic Profiles in Females with Diffuse Large B-Cell Lymphoma: A Pilot Study.Cancers · 2023Article
- Linking Air Pollution Exposure to Blood-Based Metabolic Features in a Community-Based Aging Cohort with and without Dementia.Journal of Alzheimer's disease : JAD · 2023Article
- Lipidomic comparison of 2D and 3D colon cancer cell culture models.Journal of mass spectrometry : JMS · 2022Article
- Review
- Untargeted metabolomics of newborn dried blood spots reveals sex-specific associations with pediatric acute myeloid leukemia.Leukemia research · 2021Article
- Circulating amino acids and amino acid-related metabolites and risk of breast cancer among predominantly premenopausal women.NPJ breast cancer · 2021Article
- Lipidomic Signatures for Colorectal Cancer Diagnosis and Progression Using UPLC-QTOF-ESIBiomolecules · 2021Article
- Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics.Frontiers in public health · 2021Article
- Plasma Lipid Profile Reveals Plasmalogens as Potential Biomarkers for Colon Cancer Screening.Metabolites · 2020Article
- HJC0152 suppresses human non-small-cell lung cancer by inhibiting STAT3 and modulating metabolism.Cell proliferation · 2020Article
- Cys34 Adductomics Links Colorectal Cancer with the Gut Microbiota and Redox Biology.Cancer research · 2019Article
- Metabolomics of neonatal blood spots reveal distinct phenotypes of pediatric acute lymphoblastic leukemia and potential effects of early-life nutrition.Cancer letters · 2019Article
- Filtering procedures for untargeted LC-MS metabolomics data.BMC bioinformatics · 2019Article
- Biomarkers in Colorectal Cancer: The Role of Translational Proteomics Research.Frontiers in oncology · 2019Review
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 4 countries.
Funding
Abstract
backgroundEpidemiologists are beginning to employ metabolomics and lipidomics with archived blood from incident cases and controls to discover causes of cancer. Although several such studies have focused on colorectal cancer (CRC), they all followed targeted or semi-targeted designs that limited their ability to find discriminating molecules and pathways related to the causes of CRC.
methodsUsing an untargeted design, we measured lipophilic metabolites in prediagnostic serum from 66 CRC patients and 66 matched controls from the European Prospective Investigation into Cancer and Nutrition (Turin, Italy). Samples were analyzed by liquid chromatography-high-resolution mass spectrometry (LC-MS), resulting in 8690 features for statistical analysis.
resultsRather than the usual multiple-hypothesis-testing approach, we based variable selection on an ensemble of regression methods, which found nine features to be associated with case-control status. We then regressed each selected feature on time-to-diagnosis to determine whether the feature was likely to be either a potentially causal biomarker or a reactive product of disease progression (reverse causality).
conclusionsOf the nine selected LC-MS features, four appear to be involved in CRC etiology and merit further investigation in prospective studies of CRC. Four other features appear to be related to progression of the disease (reverse causality), and may represent biomarkers of value for early detection of CRC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.