ArticleMicrobiome2024
Distinct microbes, metabolites, and the host genome define the multi-omics profiles in right-sided and left-sided colon cancer.
Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 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
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Pooled it
- The Role of the Gut Microbiome in Clinical Outcomes of Colorectal Cancer: A Systematic Review (2020-2025).Oncology research · 2026Pooled it
- metaFun: An analysis pipeline for metagenomic big data with fast and unified functional searches.Gut microbes · 2026Article
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- From Gut Microbiota to Hepatic Pre-Metastatic Niches: Mechanism and Translational Prospects of the Gut-Liver Axis in Regulating Colorectal Cancer Liver Metastasis.Microorganisms · 2026Review
- Multi-omics-driven precision medicine.iMeta · 2026Review
- Enterotoxigenic Bacteroides fragilis Induces Host Genotype-Specific Colonic Epithelial and Immune Responses in Mice.The Journal of infectious diseases · 2026Article
- Microbiome signatures for detection of colorectal lesions in population-based FIT screening.Nature communications · 2026Article
- Mitophagy interacts with mitochondrial dynamics and biogenesis, acting as a double-edged sword in digestive cancer.iScience · 2026Review
- Phytochemicals remodel antitumor immunity via the "microbiota-metabolite-receptor" axis: focus on colorectal cancer and immunotherapy.Medical oncology (Northwood, London, England) · 2026Review
- Nomogram for preoperative prediction of lymph node metastasis in patients with early submucosal right-sided colon cancer: a dual-center retrospective cohort study.Surgical endoscopy · 2026Article
- Comprehensive microbiome profiling reveals mucosal microbiome heterogeneity in patients with left- and right-sided colorectal neoplasia.Cancer biology & medicine · 2026Article
- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- Review
- The dual roles ofFrontiers in oncology · 2026Review
- Gut microbiota regulation and Traditional Chinese Medicine syndrome differentiation in right- and left-sided colon cancer heterogeneity - A review.Frontiers in pharmacology · 2026Review
- Intestinal Rehabilitation Plan for Patients with Colorectal Cancer During the Perioperative Period: An Evidence Synthesis.Journal of multidisciplinary healthcare · 2026Review
- Article
- The Role of Gut Microbiota and Mucin Barrier in the Pathogenesis of Colorectal Cancer.Current issues in molecular biology · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundStudies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota, and metabolites to explain the site-specific difference.
methodsHere, 494 participants from a 16S rRNA gene sequencing cohort (50 RCC, 114 LCC, and 100 healthy controls) and a multi-omics cohort (63 RCC, 79 LCC, and 88 healthy controls) were analyzed. 16S rRNA gene, metagenomic sequencing, and metabolomics analyses of fecal samples were evaluated to identify tumor location-related bacteria and metabolites. Whole-exome sequencing (WES) and transcriptome sequencing (RNA-seq) were conducted to obtain the mutation burden and genomic expression pattern.
resultsWe found unique profiles of the intestinal microbiome, metabolome, and host genome between RCC and LCC. The bacteria Flavonifractor plautii (Fp) and Fusobacterium nucleatum, the metabolites L-phenylalanine, and the host genes PHLDA1 and WBP1 were the key omics features of RCC; whereas the bacteria Bacteroides sp. A1C1 (B.A1C1) and Parvimonas micra, the metabolites L-citrulline and D-ornithine, and the host genes TCF25 and HLA-DRB5 were considered the dominant omics features in LCC. Multi-omics correlation analysis indicated that RCC-enriched Fp was related to the accumulation of the metabolite L-phenylalanine and the suppressed WBP1 signal in RCC patients. In addition, LCC-enriched B.A1C1 was associated with the accumulation of the metabolites D-ornithine and L-citrulline as well as activation of the genes TCF25, HLA-DRB5, and AC079354.1.
conclusionOur findings identify previously unknown links between intestinal microbiota alterations, metabolites, and host genomics in RCC vs. LCC, suggesting that it may be possible to treat colorectal cancer (CRC) by targeting the gut microbiota-host interaction. Video Abstract.
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.