ArticleGut pathogens2022
Using whole-genome sequencing (WGS) to plot colorectal cancer-related gut microbiota in a population with varied geography.
Article in Gut pathogens, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Anticancer Potentials of the Lignan Magnolin: A Systematic Review.Molecules (Basel, Switzerland) · 2023Pooled it
- Features of the Intestinal and Respiratory Microbiome in Colorectal Cancer Patients in Western Siberia.Microorganisms · 2026Article
- Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis.Journal of translational medicine · 2026Article
- Review
- Genomic Map of Escherichia coli and Single Nucleotide Polymorphism Markers in Colorectal Cancer.Microbial biotechnology · 2026Article
- DCVBin: a novel binning method for single-sample metagenomes based on DNA language model and variational autoencoder.Briefings in bioinformatics · 2026Article
- Rising Incidence of Total and Early-Onset Colorectal Cancer: A Global Perspective on Burden, Risk Factors, and Projections to 2031.Journal of gastrointestinal cancer · 2025Article
- Gut microbiome in colorectal cancer: metagenomics from bench to bedside.JNCI cancer spectrum · 2025Review
- Fecal bacterial biomarkers and blood biochemical indicators as potential key factors in the development of colorectal cancer.mSystems · 2025Article
- Long-read 16S rRNA amplicon sequencing reveals microbial characteristics in patients with colorectal adenomas and carcinoma lesions in Egypt.Gut pathogens · 2025Article
- Characterization of Wnt signaling pathway under treatment of Lactobacillus acidophilus postbiotic in colorectal cancer using an integrated in silico and in vitro analysis.Scientific reports · 2023Article
- Metabolomic analysis of gut metabolites in patients with colorectal cancer: Association with disease development and outcome.Oncology letters · 2023Article
- Gut microbiota: A novel and potential target for radioimmunotherapy in colorectal cancer.Frontiers in immunology · 2023Review
- Reexamining the role ofGut microbesReview
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Authors and funding
7 authors.
Funding
Abstract
backgroundColorectal cancer (CRC) is a multifactorial disease with genetic and environmental factors. Regional differences in risk factors are an important reason for the different incidences of CRC in different regions.
objectiveThe goal was to clarify the intestinal microbial composition and structure of CRC patients in different regions and construct CRC risk prediction models based on regional differences.
methodsA metagenomic dataset of 601 samples from 6 countries in the GMrepo and NCBI databases was collected. All whole-genome sequencing (WGS) data were annotated for species by MetaPhlAn2. We obtained the relative abundance of species composition at the species level and genus level. The MicrobiotaProcess package was used to visualize species composition and PCA. LEfSe analysis was used to analyze the differences in the datasets in each region. Spearman correlation analysis was performed for CRC differential species. Finally, the CRC risk prediction model was constructed and verified in each regional dataset.
resultsThe composition of the intestinal bacterial community varied in different regions. Differential intestinal bacteria of CRC in different regions are inconsistent. There was a common diversity of bacteria in all six countries, such as Peptostreptococcus stomatis and Fusobacterium nucleatum at the species level. Peptostreptococcus stomatis (species level) and Peptostreptococcus (genus level) are important CRC-related bacteria that are related to other bacteria in different regions. Region has little influence on the accuracy of the CRC risk prediction model. Peptostreptococcus stomatis is an important variable in CRC risk prediction models in all regions.
conclusionPeptostreptococcus stomatis is a common high-risk pathogen of CRC worldwide, and it is an important variable in CRC risk prediction models in all regions. However, regional differences in intestinal bacteria had no significant impact on the accuracy of the CRC risk prediction model.
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