ArticleMolecular biology reports2024
Alterations in the gut microbiota and their metabolites in human intestinal epithelial cells of patients with colorectal cancer.
Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 8 citations in OpenAlex.
- Live Biotherapeutic Products (LBPs) as Promising Microbiome-Based Medicines for Colorectal Cancer (CRC): Mechanistic Basis, Therapeutic Applications, and Translational Challenges.Probiotics and antimicrobial proteins · 2026Review
- Evaluating the Correlation Between Fecal Microbiota Profiles and Clinical Presentation in Pediatric Patients with Celiac Disease.Middle East journal of digestive diseases · 2025Article
- Photobiomodulation and the oral-gut microbiome axis: therapeutic potential and challenges.Frontiers in medicine · 2025Review
- Plant-Based Meat Analogues: Exploring Proteins, Fibers and Polyphenolic Compounds as Functional Ingredients for Future Food Solutions.Foods (Basel, Switzerland) · 2024Review
- Incidence of Colorectal Cancer After Intestinal Infection Due toWorld journal of oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe gut microbiota has become one of the main risk factors for the formation and development of colorectal cancer (CRC). CRC intensification may be due to the microbial pathogens' colonization and their released metabolites. Here, we analyzed Bacteroidetes and Clostridia bacteria in CRC patients and studied bacterial metabolome in cancerous tissues compared to their adjacent normal tissues. METHODS AND
resultsThe population of selected bacteria in biopsy specimens of 30 patients with CRC was studied by RT-qPCR. The mutagenicity and cytotoxicity effects of microbiota metabolites were evaluated by Ames test and MTT Assay, respectively. Moreover, gene expression in carcinogenic pathways was studied by RT-qPCR, and genes with different expressions in tumor and non-tumor tissues were diagnosed. Based on microbiota analysis, the relative abundance of Clostridia and C. difficile was significantly higher in CRC tissue, whereas C. perfringens showed higher relative abundance in normal tissue. AIMES test confirmed the proliferation and mutagenicity effects of the bacterial metabolites in CRC patients. Significant upregulation of C-Myc, GRB2, IL-8, EGFR, PI3K, and AKT and downregulation of ATM were observed in CRC samples compared to the control.
conclusionsThe influence of bacterial metabolites on inflammation and altered expression of genes in the cell signaling pathways was observed. The findings confirm the role gut microbiota composition and bacterial metabolites as key players in CRC onset and development.
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.