SynthesisPloS one2016
Fecal Microbiota, Fecal Metabolome, and Colorectal Cancer Interrelations.
Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 8 of them syntheses 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
136 citing papers in PubMed, 8 syntheses or guidelines pooled it, 216 citations in OpenAlex.
- Impact of Gut Microbiota on the Clinical Course and Treatment Outcomes of Colorectal Cancer-A Systematic Review.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Is the oral pathogen, Porphyromona gingivalis, associated to colorectal cancer?: a systematic review.BMC cancer · 2025Pooled it
- The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis.NPJ biofilms and microbiomes · 2022Pooled it
- A meta-analysis study of the robustness and universality of gut microbiome-metabolome associations.Microbiome · 2021Pooled it
- The Human Microbiome in Relation to Cancer Risk: A Systematic Review of Epidemiologic Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Pooled it
- Protective effect of the "food-microorganism-SCFAs" axis on colorectal cancer: from basic research to practical application.Journal of cancer research and clinical oncology · 2019Pooled it
- Systematic review: Gut microbiota in fecal samples and detection of colorectal neoplasms.Gut microbes · 2018Pooled it
- Pooled it
- Plasma Metabolomics Analysis of Aspirin Treatment and Risk of Colorectal Adenomas.Cancer prevention research (Philadelphia, Pa.) · 2022Trial
- Metabolomics Analysis of Aspirin's Effects in Human Colon Tissue and Associations with Adenoma Risk.Cancer prevention research (Philadelphia, Pa.) · 2020Trial
- Stunted childhood growth is associated with decompartmentalization of the gastrointestinal tract and overgrowth of oropharyngeal taxa.Proceedings of the National Academy of Sciences of the United States of America · 2018Trial
- The role of gut microbes in production of aromatic carboxaldehydes.Gut microbes · 2026Article
- Causal Effects of Oral Microbiome, Circulating Metabolites, and Inflammatory Proteins on Recurrent Aphthous Stomatitis: A Two-Sample Mendelian Randomization Study.Oral health & preventive dentistry · 2026Article
- Gastroprotective [6]-Gingerol Aspirinate as a Novel Aspirin-Derived Chemopreventive Agent Attenuating Colitis.Journal of agricultural and food chemistry · 2026Article
- Association between socio-economic status and intestinal microbiota composition in patients with colorectal adenomas.Scientific reports · 2026Article
- Article
- Gut microbeFrontiers in immunology · 2026Article
- Berberine prevents postoperative recurrence of colorectal cancer: a protocol for a multicenter, double-blind, randomized controlled trial.Frontiers in medicine · 2026Article
- MMETHANE: interpretable AI for predicting host status from microbial composition and metabolomics data.Microbiome · 2025Article
- Fusobacterium nucleatum and non-coding RNAs: orchestrating oncogenic pathways in colorectal cancer.Gut pathogens · 2025Review
76 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
aimsInvestigation of microbe-metabolite relationships in the gut is needed to understand and potentially reduce colorectal cancer (CRC) risk.
methodsMicrobiota and metabolomics profiling were performed on lyophilized feces from 42 CRC cases and 89 matched controls. Multivariable logistic regression was used to identify statistically independent associations with CRC. First principal coordinate-component pair (PCo1-PC1) and false discovery rate (0.05)-corrected P-values were calculated for 116,000 Pearson correlations between 530 metabolites and 220 microbes in a sex*case/control meta-analysis.
resultsOverall microbe-metabolite PCo1-PC1 was more strongly correlated in cases than in controls (Rho 0.606 vs 0.201, P = 0.01). CRC was independently associated with lower levels of Clostridia, Lachnospiraceae, p-aminobenzoate and conjugated linoleate, and with higher levels of Fusobacterium, Porphyromonas, p-hydroxy-benzaldehyde, and palmitoyl-sphingomyelin. Through postulated effects on cell shedding (palmitoyl-sphingomyelin), inflammation (conjugated linoleate), and innate immunity (p-aminobenzoate), metabolites mediated the CRC association with Fusobacterium and Porphyromonas by 29% and 34%, respectively. Overall, palmitoyl-sphingomyelin correlated directly with abundances of Enterobacteriaceae (Gammaproteobacteria), three Actinobacteria and five Firmicutes. Only Parabacteroides correlated inversely with palmitoyl-sphingomyelin. Other lipids correlated inversely with Alcaligenaceae (Betaproteobacteria). Six Bonferroni-significant correlations were found, including low indolepropionate and threnoylvaline with Actinobacteria and high erythronate and an uncharacterized metabolite with Enterobacteriaceae.
conclusionsFeces from CRC cases had very strong microbe-metabolite correlations that were predominated by Enterobacteriaceae and Actinobacteria. Metabolites mediated a direct CRC association with Fusobacterium and Porphyromonas, but not an inverse association with Clostridia and Lachnospiraceae. This study identifies complex microbe-metabolite networks that may provide insights on neoplasia and targets for intervention.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.