Evidence map›Paper›PMID 39753208›Full record

ArticleMolecular oncology2025

Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer.

Zuojian Hu, Fenglin Shen, Yang Liu, Ziqing Zhong, Yongling Chen, Zhiyuan Xia, Cuiju Mo, Hongxiu Yu

Abstract read
In one paragraph

Article in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. 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

8 authors.

Zuojian HuShanghai Stomatological Hospital & School of Stomatology & Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Fenglin ShenShanghai Stomatological Hospital & School of Stomatology & Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Yang LiuShanghai Stomatological Hospital & School of Stomatology & Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Ziqing ZhongDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yongling ChenDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zhiyuan XiaDepartment of Colorectal & Anal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Cuiju MoDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Hongxiu YuShanghai Stomatological Hospital & School of Stomatology & Institutes of Biomedical Sciences, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-4797-3929

Funding

Guangxi Natural Science Foundation Project 2023GXNSFAA026063
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a prevalent malignant tumor worldwide, with a high mortality rate due to its complex etiology and limited early screening techniques. This study aimed to identify potential biomarkers for early detection of CRC utilizing targeted metabolite profiling of platelet-rich plasma (PRP). Based on multiple reaction monitoring (MRM) mode, liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis identified metabolites in PRP collected from patients with CRC (n = 70) and healthy controls (n = 30). A total of 302 metabolites were identified and quantified in this study, including various categories such as lipids, lipid mediators, amino acids, and derivatives, organic acids and derivatives, nucleotides and derivatives, alkaloids, carbohydrates, vitamins and derivatives, and others. The differential analysis revealed that five carbohydrates and organic acids (lactose, glycerol-3-phosphate, 2-hydroxyglutaric acid, isocitric acid, and citric acid) involved in the carbohydrate metabolism pathway displayed consistent upregulation within PRP derived from patients with CRC. To further validate the abundance of differential metabolites, 10 pairs of CRC tissues, adjacent tissues, and matched PRP were collected. Ultimately, five carbohydrate metabolites were validated in PRP, and compared with carcinoembryonic antigen (CEA) and cancer antigen 19-9 (CA199), the five carbohydrate metabolites significantly improved the specificity of differentiating patients with CRC from healthy controls. Furthermore, the diagnostic efficacy of the combined five-carbohydrate metabolite panel was superior to that of individual metabolites, CEA and CA199. The sensitivity, specificity, and AUC of the metabolite panel in distinguishing patients with CRC from healthy controls were 90.00%, 96.67%, and 0.961 (95% CI 0.922-0.998), respectively. Collectively, metabolomics was used to identify and validate differential metabolites in the PRP of CRC, which may serve as potential early screening markers for patients with CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsMetabolomicsAdultAgedCase-Control StudiesChromatography, LiquidFemaleHumansMaleMetabolomeMiddle AgedTandem Mass SpectrometryBiomarkers, Tumorcarbohydrate metabolitescolorectal cancerdiagnostic modelmetabolomicsplatelet rich plasma

Identifiers

PMID39753208
PMCPMC12161463

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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 OpenQuestion graph.