Evidence mapPaperPMID 41733313Full record

ReviewCancer biology & medicine2026

Microbiota-host interaction in colorectal cancer: emerging computational technology, multi-omics integration, and mechanisms.

Yinghong Lu, Jun Yu

Abstract readReview
In one paragraph

Review in Cancer biology & medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yinghong LuInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Jun YuInstitute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-5008-2153

Funding

Impact Case for RAE CUHK 3134277Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0500200Strategic Impact Enhancement Fund CUHK 3135509Strategic Seed Funding Collaboration Research Scheme CUHK 3133344
6 · The paper itself

Abstract

Colorectal cancer (CRC) remains a major global health burden with the gut microbiome emerging as a critical contributor to tumor initiation and progression. Advances in high-throughput sequencing have deepened our understanding of host-microbe interactions across genomic, transcriptomic, epigenomic, and metabolomic levels. This review synthesizes current knowledge on how microbial communities shape colorectal carcinogenesis, including induction of genomic instability, remodeling of host transcriptional and epigenetic landscapes, and reprogramming of metabolic pathways within the tumor microenvironment. Integrative multi-omics strategies and advanced computational tools are powerful means for dissecting these complex biological systems. However, analytical challenges, such as data compositionality, sparsity, and high dimensionality, still hinder meaningful interpretation. Emerging technologies, like long-read sequencing and bacterial single-cell spatial transcriptomics, are enhancing the resolution and accuracy of microbiota profiling. Finally, the convergence of advanced experimental models, artificial intelligence-driven computational integration, and precision microbiome medicine are highlighted as key avenues for translating microbiome insights into preventive, diagnostic, and therapeutic innovations in CRC.

Indexed as

Colorectal NeoplasmsComputational BiologyGastrointestinal MicrobiomeHost Microbial InteractionsAnimalsGenomicsHumansMultiomicsTumor MicroenvironmentbioinformaticsColorectal cancerhigh-throughput sequencingmicrobiotamulti-omics integration

Identifiers

PMID41733313
PMCPMC13244307

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.