Observational studyBritish journal of cancer2026
The relationship between gut microbiota, lifestyle habits, and early-onset colorectal cancer: shedding light on early prediction.
Observational study in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Shaping the future of early-onset colorectal cancer prevention.Nature reviews. Cancer · 2026Review
- Why Is Colorectal Cancer Occurring Earlier? Metabolic Dysfunction, Underrecognized Carcinogens, and Emerging Controversies.Current obesity reports · 2026Review
- Allostatic load as a framework for understanding early-onset colorectal cancer: current biomarker evidence and future directions.Frontiers in oncology · 2026Article
- The Increase of Early-Onset Colorectal Cancer: New Insights and Emerging Hypotheses.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe development of early-onset colorectal cancer (EO-CRC) is linked to environmental exposures and gut microbiota alterations. We aimed to discover the connection and develop prediction strategies.
methodsIn the observational study, we performed 16S rRNA sequencing and metagenomic sequencing on 76 samples from discovery cohort and validation cohort, and qPCR analysis of selected microbiota, along with lifestyle and dietary assessment on 298 samples from validation cohort. Mediation analysis was employed to investigate the mediating role of gut microbiota. Logistic regression analysis evaluated the optimal prediction model for EO-CRC, with the area under the receiver operating characteristic curves (AUC) assessing diagnostic value.
resultsDysbiosis of the EO-CRC gut microbiota was characterised by evaluated abundance of F. nucleatum, P. micra, Pks
conclusionsOur data suggested that the EO-CRC-enriched bacteria may mediate the effects of lifestyle and dietary factors on disease development. A predictive model combining diet, lifestyle, and gut bacteria demonstrated promising early predictive capabilities.
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Registered trials
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