Evidence map›Paper›PMID 40727475›Full record

ArticleFrontiers in oncology2025

Characteristic metabolite profile of 10 colorectal cancer-related bacteria.

Yongqiang Liu, Wangli Mei, Xinyan Huang, Xudong Yao, Cheng Kong, Yifan Chen

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Yongqiang Liu *Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Wangli Mei *Department of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Xinyan Huang *Anesthesia and Surgery Department, Nanjing Drum Tower Hospital Affiliated to Nanjing University, Nanjing, China.
Xudong YaoDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Cheng KongDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yifan ChenDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tumor metabolomics of colorectal cancer (CRC) is significantly different from normal tissues, due to nutrient deprivation, metabolite accumulation, acidity and hypoxia. Besides, gut microbiota has been confirmed to affect the progression of CRC. Microbiota metabolites might participate in the metabolic reprogramming of CRC cells and further regulate tumor microenvironment. Method: 10 CRC-related strains are cultured in vitro (10 replicates per bacterium), including Enterotoxic Escherichia coli (ETEC), Peptostreptococcus anaerobius (Pa), Fusobacterium necroporum (Fne), Fusobacterium nucleatum (Fn), Lactobacillus plantarum (Lp), Lactobacillus acidophilus (La), Lactobacillus casei (Lc), Lactobacillus rhamnosus gg (LGG), Bifidobacterium bifidum (Bbi), Bifidobacterium Breve (Bbr). Bacterial culture supernatant is subjected to gas chromatography-mass spectrometry. Result: The 10 CRC-related strains have characteristic metabolite profiles, mainly referring to specific saccharides, amino acids, bile acids, polyamines and bioactive compounds. Saccharides and organic acids increase significantly in Conclusion: The 10 CRC-related strains possess significantly different metabolites and metabolic pathways. Specific metabolites and corresponding metabolic pathways might explain microbial CRC-promoting or -suppressing mechanisms.

Indexed as

amino acid metabolismcolorectal cancergut microbiotametabolic pathwaymetabolite

Identifiers

PMID40727475
PMCPMC12301220

What Socratic holds

Textmetadata
LicenceCC BY
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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.