ArticleMedical science monitor : international medical journal of experimental and clinical research2017
Analysis of Mucosa-Associated Microbiota in Colorectal Cancer.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04223102 (Rectal Microbiome Variability Among Rectal Cancer Cohorts Including Complete Clinical Responders, Pathologic Responders, and Early Recurrence), which is not on this map. Cited by 46 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Rectal Microbiome Variability Among Rectal Cancer Cohorts Including Complete Clinical Responders, Pathologic Responders, and Early Recurrence
Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 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
- Probiotics and dietary intervention modulate the colonic mucosa-associated microbiota in high-fat diet populations.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2020Trial
- Gut Microbiota in Colorectal Cancer: Mechanisms of Carcinogenesis, Biomarkers, and Therapeutic Perspectives.Journal of clinical medicine · 2026Review
- Microbiomics: Novel Biomarkers of Colorectal Cancer Diagnosis and Prognosis.Diagnostics (Basel, Switzerland) · 2026Review
- The gut microbiome in colorectal cancer: mechanisms of carcinogenesis and emerging microbiota-targeted therapies.Discover oncology · 2026Review
- Emerging risk factors and the role of gut microbiota in immunomodulation and therapeutic implications in colorectal cancer.Cancer pathogenesis and therapy · 2026Review
- Gut microbiota and metabolite changes in metastatic colorectal cancerWorld journal of gastrointestinal oncology · 2025Article
- Study of Microbiota Associated to Early Tumors Can Shed Light on Colon Carcinogenesis.International journal of molecular sciences · 2024Review
- Article
- Escherichia coli on colorectal cancer: A two-edged sword.Microbial biotechnology · 2024Review
- Gut Microbiome and colorectal cancer: discovery of bacterial changes with metagenomics application in Turkısh population.Genes & genomics · 2024Article
- Tumour-associated and non-tumour-associated bacteria co-abundance groups in colorectal cancer.BMC microbiology · 2024Article
- Mucosal Microbiome in Patients with Early Bowel Polyps: Inferences from Short-Read and Long-Read 16S rRNA Sequencing.Cancers · 2023Article
- Fusobacterium nucleatum upregulates MMP7 to promote metastasis-related characteristics of colorectal cancer cell via activating MAPK(JNK)-AP1 axis.Journal of translational medicine · 2023Article
- An Overview of Selected Bacterial Infections in Cancer, Their Virulence Factors, and Some Aspects of Infection Management.Biology · 2023Review
- The Role of Microbiota-Derived Metabolites in Colorectal Cancer.International journal of molecular sciences · 2023Review
- Tissue vs. Fecal-Derived Bacterial Dysbiosis in Precancerous Colorectal Lesions: A Systematic Review.Cancers · 2023Review
- Elucidating colorectal cancer-associated bacteria through profiling of minimally perturbed tissue-associated microbiota.Frontiers in cellular and infection microbiology · 2023Article
- Article
- The gut microbiota composition in patients with right- and left-sided colorectal cancer and after curative colectomy, as analyzed by 16S rRNA gene amplicon sequencing.BMC gastroenterology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND The aim of this study was to compare the microbiota community structure, assess differences in intestinal bacterial types, and identify metagenomic biomarkers for disparate stages of colorectal cancer formation. MATERIAL AND METHODS A total of 160 individuals were recruited: 61 cases with non-tumor colon were regarded as the normal group, 47 cases with histology-substantiated colorectal adenomas were regarded as the adenoma group, and 52 cases with invasive adenocarcinomas were regarded as the cancer group. Biopsy on the mucosa was performed on each subject. USEARCH was used to process the sequences data and generate OTUs. Gut mucosal microbiota from healthy controls, adenoma patients, and carcinoma patients were analyzed. RESULTS Principal coordinate analysis of unweighted and weighted UniFrac distance showed a separation in composition of microbiota in the 3 groups. Bacteria with potential tumorigenesis, like Bacteroides fragilis and Fusobacterium, were more common in the carcinoma group, while some SCFA (short chain fatty acids) - producing microbes were enriched in the normal group. The commensal Escherichia were more abundant in adenoma patients. CONCLUSIONS Our study provides insights into possible function of gut microbiota in diagnosis and treatment of colorectal cancer. Some bacteria, such as Butyricicoccus, E. coli, and Fusobacterium, can be used as potential biomarkers for normal, adenoma, and cancer groups, respectively.
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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.