ArticleMicrobiology spectrum2024
Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model.
Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Decoding the microbiome: artificial intelligence-targeted gut microenvironment breakthroughs in personalized cancer therapy.Gut microbes · 2026Review
- Colorectal cancer landscape from gut microbiota: Insights into mutations, epigenetic dysregulation, and immune microenvironment alterations.Virulence · 2026Review
- Gut microbiota-driven pre-metastatic niche formation in colorectal cancer liver metastasis: mechanisms and translational significance.Gut pathogens · 2026Review
- Machine Learning-Based Prediction of Histopathological Classification in Colorectal Polyps.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025Article
- Review
- The Potential Role ofMicroorganisms · 2025Review
- Microsatellite Instability in the Tumor Microenvironment: The Role of Inflammation and the Microbiome.Cancer medicine · 2025Review
- The role of gut microbiome in colorectal cancer development: a comprehensive analysis based on metabolomics and immunomodulatory mechanisms.Frontiers in oncology · 2025Review
- Advances in colorectal cancer screening: technological innovations, guideline discrepancies, and individualized strategies.Frontiers in oncology · 2025Review
- Bile-Liver phenotype: Exploring the microbiota landscape in bile and intratumor of cholangiocarcinoma.Computational and structural biotechnology journal · 2025Article
- Random forests algorithm using basic medical data for predicting the presence of colonic polyps.Frontiers in surgery · 2025Article
- Focus on gut microbes: new direction in cancer treatment.Frontiers in oncology · 2025Review
- The power of microbes: the key role of gut microbiota in the initiation and progression of colorectal cancer.Frontiers in oncology · 2025Review
- Unlocking the future of complex human diseases prediction: multi-omics risk score breakthrough.Frontiers in bioinformatics · 2024Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Gut microbiota has demonstrated an increasingly important role in the onset and development of colorectal cancer (CRC). Nonetheless, the association between gut microbiota and KRAS mutation in CRC remains enigmatic. We conducted 16S rRNA sequencing on stool samples from 94 CRC patients and employed the linear discriminant analysis effect size algorithm to identify distinct gut microbiota between KRAS mutant and KRAS wild-type CRC patients. Transcriptome sequencing data from nine CRC patients were transformed into a matrix of immune infiltrating cells, which was then utilized to explore KRAS mutation-associated biological functions, including Gene Ontology items and Kyoto Encyclopedia of Genes and Genomes pathways. Subsequently, we analyzed the correlations among these KRAS mutation-associated gut microbiota, host immunity, and KRAS mutation-associated biological functions. At last, we developed a predictive random forest (RF) machine learning model to predict the KRAS mutation status in CRC patients, based on the gut microbiota associated with KRAS mutation. We identified a total of 26 differential gut microbiota between both groups. Intriguingly, a significant positive correlation was observed between
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Registered trials
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