ArticleCancers2021
Interplay between Genome, Metabolome and Microbiome in Colorectal Cancer.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Exploring the Complex Relationship between Gut Microbiota and Risk of Colorectal Neoplasia Using Bidirectional Mendelian Randomization Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Pooled it
- Identification of overlapping genetic loci between inflammatory bowel disease and major depressive disorder.European archives of psychiatry and clinical neuroscience · 2026Article
- Microbial metabolites in tumor metabolic reprogramming and immunotherapy: new insights.Frontiers in cellular and infection microbiology · 2025Review
- Statistical and computational methods for integrating microbiome, host genomics, and metabolomics data.eLife · 2024Review
- Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications.Frontiers in microbiology · 2024Review
- Microbiota modulate lung squamous cell carcinoma lymph node metastasis through microbiota-geneset correlation network.Translational lung cancer research · 2023Article
- Review
- Multi-omics Analysis Classifies Colorectal Cancer into Distinct Methylated Immunogenic and Angiogenic Subtypes Based on Anatomical Laterality.Indian journal of surgical oncology · 2023Article
- Tissue vs. Fecal-Derived Bacterial Dysbiosis in Precancerous Colorectal Lesions: A Systematic Review.Cancers · 2023Review
- A Novel Approach on the Use of Samples from Faecal Occult Blood Screening Kits for Metabolomics Analysis: Application in Colorectal Cancer Population.Metabolites · 2023Article
- Advances in gut microbiome in metabonomics perspective: based on bibliometrics methods and visualization analysis.Frontiers in cellular and infection microbiology · 2023Article
- Host Genetics and Microbiota Interactions in Colorectal Cancer: Shared or Independent Risk?Microorganisms · 2022Review
- Heritable and Nonheritable Rumen Bacteria Are Associated with Different Characters of Lactation Performance of Dairy Cows.mSystems · 2022Article
- Biomarkers of coordinate metabolic reprogramming and the construction of a co-expression network in colorectal cancer.Annals of translational medicine · 2022Article
- Pancreatic Cancer Cell-Derived Exosomes Promote Lymphangiogenesis by Downregulating ABHD11-AS1 Expression.Cancers · 2022Article
- Performance of the Use of Genetic Information to Assess the Risk of Colorectal Cancer in the Basque Population.Cancers · 2022Article
- Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 8 institutions in 2 countries.
Funding
Abstract
backgroundColorectal cancer (CRC), a major health concern, is developed depending on environmental, genetic and microbial factors. The microbiome and metabolome have been analyzed to study their role in CRC. However, the interplay of host genetics with those layers in CRC remains unclear.
methods120 individuals were sequenced and association analyses were carried out for adenoma and CRC risk, and for selected components of the microbiome and metabolome. The epistasis between genes located in cholesterol pathways was analyzed; modifiable risk factors were studied using Mendelian randomization; and the three omic layers were used to integrate their data and to build risk prediction models.
resultsWe detected genetic variants that were associated to components of metabolome or microbiome and adenoma or CRC risk (e.g., in
conclusionsThe use of the three omic layers allowed for the finding of biological mechanisms related to the development of adenoma and CRC, and each layer provided complementary information to build risk prediction models.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.