ArticleJournal of translational medicine2021
Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Global prevalence of Fusobacterium nucleatum and Bacteroides fragilis in patients with colorectal cancer: an overview of case reports/case series and meta-analysis of prevalence studies.BMC gastroenterology · 2025Pooled it
- Article
- Characteristics of gut microbiota in high-methylated colorectal cancer.International journal of clinical oncology · 2025Article
- Prognostic Significance of the Comprehensive Biomarker Analysis in Colorectal Cancer.Life (Basel, Switzerland) · 2025Review
- Polyp and tumor microenvironment reprogramming in colorectal cancer: insights from mucosal bacteriome and metabolite crosstalk.Annals of clinical microbiology and antimicrobials · 2025Article
- Human DNA hijacking microbiota surveys: causes and consequences in colon related 16s rRNA amplicon sequencing.Gut microbiome (Cambridge, England) · 2025Article
- Oral microbial signatures underlying recurrence via PI3K/AKT/mTOR pathway modulation in oral squamous cell carcinoma.Journal of oral microbiology · 2025Article
- Article
- Multifunctional nanomaterialsMaterials today. Bio · 2024Article
- 16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population.Gut pathogens · 2024Article
- Distinct intratumoral microbiome of young-onset and average-onset colorectal cancer.EBioMedicine · 2024Article
- The Role of the Human Microbiome in Epithelial Ovarian Cancer.Advances in experimental medicine and biology · 2024Review
- Host Transcriptional Regulatory Genes and Microbiome Networks Crosstalk through Immune Receptors Establishing Normal and Tumor Multiomics Metafirm of the Oral-Gut-Lung Axis.International journal of molecular sciences · 2023Review
- From adenoma to CRC stages: the oral-gut microbiome axis as a source of potential microbial and metabolic biomarkers of malignancy.Neoplasia (New York, N.Y.) · 2023Observational
- Molecular methods for colorectal cancer screening: Progress with next-generation sequencing evolution.World journal of gastrointestinal oncology · 2023Review
- Tumor microbiome analysis provides prognostic value for patients with stage III colorectal cancer.Frontiers in oncology · 2023Article
- Construction of a fecal immune-related protein-based biomarker panel for colorectal cancer diagnosis: a multicenter study.Frontiers in immunology · 2023Article
- Identification of gut dysbiosis in axial spondyloarthritis patients and improvement of experimental ankylosing spondyloarthritis by microbiome-derived butyrate with immune-modulating function.Frontiers in immunology · 2023Article
- Investigation of trends in gut microbiome associated with colorectal cancer using machine learning.Frontiers in oncology · 2023Article
- Compartmentalization of the host microbiome: how tumor microbiota shapes checkpoint immunotherapy outcome and offers therapeutic prospects.Journal for immunotherapy of cancer · 2022Review
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundComparing the microbiome compositions obtained under different physiological conditions has frequently been attempted in recent years to understand the functional influence of microbiomes in the occurrence of various human diseases.
methodsIn the present work, we analyzed 102 microbiome datasets containing tumor- and normal tissue-derived microbiomes obtained from a total of 51 Korean colorectal cancer (CRC) patients using 16S rRNA amplicon sequencing. Two types of comparisons were used: 'normal versus (vs.) tumor' comparison and 'recurrent vs. nonrecurrent' comparison, for which the prognosis of patients was retrospectively determined.
resultsAs a result, we observed that in the 'normal vs. tumor' comparison, three phyla, Firmicutes, Actinobacteria, and Bacteroidetes, were more abundant in normal tissues, whereas some pathogenic bacteria, including Fusobacterium nucleatum and Bacteroides fragilis, were more abundant in tumor tissues. We also found that bacteria with metabolic pathways related to the production of bacterial motility proteins or bile acid secretion were more enriched in tumor tissues. In addition, the amount of these two pathogenic bacteria was positively correlated with the expression levels of host genes involved in the cell cycle and cell proliferation, confirming the association of microbiomes with tumorigenic pathway genes in the host. Surprisingly, in the 'recurrent vs. nonrecurrent' comparison, we observed that these two pathogenic bacteria were more abundant in the patients without recurrence than in the patients with recurrence. The same conclusion was drawn in the analysis of both normal and tumor-derived microbiomes.
conclusionsTaken together, it seems that understanding the composition of tissue microbiomes is useful for predicting the prognosis of CRC patients.
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