Evidence map›Paper›PMID 40697232›Full record

ArticleWorld journal of gastrointestinal oncology2025

Associations between blood metabolite levels and gastrointestinal cancer risk: A preliminary untargeted metabolomics study.

Tian-Hao Guo, Wen-Jian Zhu, Yi-Fan Hui, Shuo-Qi Zhao, Ting-Ting Zhou, Xue-Meng Wang, Qin-Chang Zhang, Wei Wang, Liu Li, Wei-Xing Shen and 2 more

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2025. 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

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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.

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

12 authors.

Tian-Hao GuoInstitute of Health and Regimen, Jiangsu Open University, Nanjing 210036, Jiangsu Province, China.
Wen-Jian ZhuDepartment of Oncology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210017, Jiangsu Province, China.
Yi-Fan HuiThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Shuo-Qi ZhaoThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Ting-Ting ZhouWangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Xue-Meng WangThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Qin-Chang ZhangThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Wei WangOE Biotech Co., Ltd., Shanghai 201112, China.
Liu LiThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Wei-Xing ShenThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
Xiao-Yu WuDepartment of Surgical Oncology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China.
Hai-Bo ChengThe First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal cancers are among the most commonly diagnosed cancers globally. Traditional Chinese medicine (TCM) offers distinct advantages in preventing and treating these cancers.

aimTo investigate the metabolic basis of a common TCM syndrome in gastrointestinal cancers, exploring underlying metabolic mechanisms and identifying potential biomarkers.

methodsThirty healthy controls (normal group), 30 patients with gastric cancer (GC), and 30 patients with colorectal cancer (CRC) were enrolled in 2023. Plasma metabolic profiles were detected using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry, and pathway enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes.

resultsMetabolic profiling revealed distinct alterations in gastrointestinal cancers. CRC samples exhibited 455 differentially expressed metabolites (234 upregulated and 221 downregulated). Similarly, GC samples exhibited 459 differentially expressed metabolites (251 upregulated and 208 downregulated). Additionally, 352 shared metabolites were identified among gastrointestinal cancers. Enrichment analysis highlighted the involvement of these shared metabolites in 10 metabolic pathways.

conclusionTo some extent, this study revealed the metabolomic characteristics of spleen deficiency and blood stasis toxin (PXYD) syndrome in gastrointestinal cancers. It provides the rationale for the "same treatment for different diseases" approach in PXYD syndrome of gastrointestinal cancers, and for identifying potential metabolomics-based biomarkers.

Indexed as

Biological basisColorectal cancerGastric cancerGastrointestinal cancerTraditional Chinese medicine syndromeUntargeted metabolomics

Identifiers

PMID40697232
PMCPMC12278200

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