ArticleGut microbes2025
Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.
Article in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of Gut Microbiota on the Clinical Course and Treatment Outcomes of Colorectal Cancer-A Systematic Review.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Artificial intelligence at the gut-oral microbiota frontier: mapping machine learning tools for gastric cancer risk prediction.Biomedical engineering online · 2025Pooled it
- Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Review
- The Role of the Microbiome in Lichen Sclerosus: Pathophysiological Insights and Therapeutic Implications.Dermatology and therapy · 2026Review
- Microbial Signals in Cancer: Dissecting Host-Microbiota-Tumor Interactions and Potential Therapeutic Strategy.MedComm · 2026Review
- Multi Omics Integration in Colorectal Cancer: From Molecular Insights to Precision Oncology.Cancers · 2026Review
- A systematic review of artificial intelligence and machine learning for gut microbiome-based CRC screening.Journal of gastrointestinal oncology · 2026Review
- Gut Microorganisms as Markers of Hyperandrogenemia in Premenopausal Women with Polycystic Ovary Syndrome.International journal of molecular sciences · 2026Article
- Artificial intelligence models: transforming early diagnosis and precise treatment of gastrointestinal cancers.Molecular cancer · 2026Review
- Unlocking therapeutic impacts of the gut microbiota with computational tools.Current opinion in biotechnology · 2026Review
- Review
- Interpretable machine learning uncovers core seminal microbial signatures in idiopathic oligoasthenospermia.Frontiers in cellular and infection microbiology · 2026Article
- The intratumoral microbiome in colorectal cancer: origins, microenvironmental interactions, and new horizons in precision medicine.Frontiers in immunology · 2026Review
- Gut microbiome-mediated primary and acquired resistance to immune checkpoint inhibitors in MSI-H/dMMR colorectal cancer: mechanisms, biomarkers, and therapeutic implications-a narrative review.Frontiers in cellular and infection microbiology · 2026Review
- Endometrial immune dysregulation shapes CD8Frontiers in immunology · 2026Article
- From Respiration to Secondary Metabolism: A Heme A Synthase-Mediated Regulatory Network Expands Indolizidine Chemical Space in Fungi.Research (Washington, D.C.) · 2026Article
- New strategies to enhance the efficacy of PD-1/PD-L1 inhibitors in treating microsatellite stable colorectal cancer.Future oncology (London, England) · 2025Review
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
No grant is acknowledged in the PubMed record.
Abstract
The clinical adenoma - carcinoma progression represents a well-established framework for understanding colorectal cancer (CRC) development, although the molecular mechanisms underlying this transition remain only partially understood. Increasing evidence suggests the gut microbiome (GM) as a key modulator of colorectal carcinogenesis, positioning microbial profiling as a promising avenue for noninvasive risk stratification and early detection. In this study, Machine Learning (ML) classifiers integrated with eXplainable Artificial Intelligence (XAI) techniques were employed to identify microbiome-derived biomarkers predictive of CRC and adenomatous lesions. The models were trained on 16S rRNA sequencing data from 453 patients and evaluated through cross-validation, achieving AU-ROC and AU-PRC scores of 0.71 and 0.67, respectively. External validation on an independent Italian cohort (
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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.