ReviewNature reviews. Gastroenterology & hepatology2020
Gut microbiome, big data and machine learning to promote precision medicine for cancer.
Review in Nature reviews. Gastroenterology & hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 4 of them syntheses that pooled it.
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
147 citing papers in PubMed, 4 syntheses or guidelines pooled it, 330 citations in OpenAlex.
- Nanomaterials targeting ferroptosis for osteoarthritis treatment: a systematic review of preclinical evidence.Journal of nanobiotechnology · 2026Pooled it
- Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools.Frontiers in microbiology · 2025Pooled it
- Bibliometric and visual analysis of human microbiome-breast cancer interactions: current insights and future directions.Frontiers in microbiology · 2024Pooled it
- Probiotic Supplements on Oncology Patients' Treatment-Related Side Effects: A Systematic Review of Randomized Controlled Trials.International journal of environmental research and public health · 2021Pooled it
- Microbial Signals in Cancer: Dissecting Host-Microbiota-Tumor Interactions and Potential Therapeutic Strategy.MedComm · 2026Review
- Artificial Intelligence in Food-Nutrition-Health Research: From Multimodal Data Integration to Precision Intervention.Journal of food science · 2026Review
- Microbiome-guided cancer immunotherapy: immune mechanisms, resistance pathways, and translational opportunities for precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Probiotics unveiled: bridging general health benefits to the era of precision medicine.World journal of microbiology & biotechnology · 2026Review
- Machine learning and experiment reveals gut microbial predictors of functional fatty acids in pork.Food chemistry: X · 2026Article
- The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence.Microbiome · 2026Article
- Attenuated Bacteria-Based Tumor Therapy: Clinical Application Risks, Marketing Approval Restrictions, and Coping Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Modulating drug response through the gut microbiome: pathways to precision therapy.Archives of microbiology · 2026Review
- Transformer Models, Graph Networks, and Generative AI in Gut Microbiome Research: A Narrative Review.Bioengineering (Basel, Switzerland) · 2026Review
- Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine.International journal of nanomedicine · 2026Review
- Artificial Intelligence for Predicting Immunotherapy Efficacy in Non-Small Cell Lung Cancer.Journal of inflammation research · 2026Review
- The gut microbiome in colorectal cancer: molecular paradigms and translational frontiers.Frontiers in bioengineering and biotechnology · 2026Review
- Intratumorally specific microbial-derived lipopolysaccharide contributes to non-small cell lung cancer progression.Virulence · 2025Article
- HGMT: a database of human gut microbiota for tumors and immunotherapy response.Genome biology · 2025Article
- XGBoost-based urinary microbial signatures enable non-invasive diagnosis and prognosis for urothelial carcinoma.BMC microbiology · 2025Article
- Peripheral Blood TCR Clonotype Diversity as a Biomarker for Colorectal Cancer.Bioengineering (Basel, Switzerland) · 2025Article
87 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gut microbiome has been implicated in cancer in several ways, as specific microbial signatures are known to promote cancer development and influence safety, tolerability and efficacy of therapies. The 'omics' technologies used for microbiome analysis continuously evolve and, although much of the research is still at an early stage, large-scale datasets of ever increasing size and complexity are being produced. However, there are varying levels of difficulty in realizing the full potential of these new tools, which limit our ability to critically analyse much of the available data. In this Perspective, we provide a brief overview on the role of gut microbiome in cancer and focus on the need, role and limitations of a machine learning-driven approach to analyse large amounts of complex health-care information in the era of big data. We also discuss the potential application of microbiome-based big data aimed at promoting precision medicine in cancer.
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.