Evidence mapPaperPMID 41909844Full record

ReviewFrontiers in cellular and infection microbiology2026

Precision treatment of gastrointestinal tumours and liver disease interaction mechanisms based on multi-omics data and microbiome hubs.

Bangxing Lin, Shizheng Tong, Chaokai Ba, Xiang Wang

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bangxing Lin *The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, Hangzhou, Zhejiang, China.
Shizheng Tong *The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, Hangzhou, Zhejiang, China.
Chaokai Ba *The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, Hangzhou, Zhejiang, China.
Xiang WangZhejiang Key Laboratory of Zero Magnetic Medicine, School of Medicine, Affiliated Hangzhou First People's Hospital, Westlake University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global prevalence of gastrointestinal tumours and the bottlenecks in their diagnosis and treatment are being systematically overcome by the multi-omics revolution: high-throughput technologies are driving the multidimensional integration of genomics-transcriptomics-proteomics-metabolomics to comprehensively decode the genetic architecture of tumours. Meanwhile, the gut microbiota, acting as a core regulatory hub, drives carcinogenesis through immune microenvironment remodelling and metabolic pathway hijacking, further facilitating proteome-metabolome multidimensional integration, comprehensively decoding tumour genetic architecture. The gut microbiota, acting as a core regulatory hub, drives carcinogenesis through immune microenvironment remodelling and metabolic pathway hijacking, while mediating a vicious cycle network linking liver disease and tumours via the gut-liver axis. This review examines the application of multi-omics technologies in gastrointestinal tumour research, summarises the role of gut microbiota in tumourigenesis and its interaction with liver disease, and envisions future interventions targeting the gut microbiome for early disease diagnosis and precision treatment.

Indexed as

Gastrointestinal MicrobiomeGastrointestinal NeoplasmsLiver DiseasesPrecision MedicineAnimalsGenomicsHumansMetabolomicsMultiomicsProteomicsTumor Microenvironmentartificial intelligencegastrointestinal tumourgut microbiotaliver diseasemulti-omics integrationsingle-cell sequencing

Identifiers

PMID41909844
PMCPMC13021590

What Socratic holds

Textmetadata
LicenceCC BY
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.