Evidence map›Paper›PMID 34462336›Full record

ArticleGut2022

Integrated analysis of the faecal metagenome and serum metabolome reveals the role of gut microbiome-associated metabolites in the detection of colorectal cancer and adenoma.

Feng Chen, Xudong Dai, Chang-Chun Zhou, Ke-Xin Li, Yu-Juan Zhang, Xiao-Ying Lou, Yuan-Min Zhu, Yan-Lai Sun, Bao-Xiang Peng, Wei Cui

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Gut, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05870696 (Evaluation of the Serum Metabolite Based PrecogColo Dx Test for Advanced Colorectal Neoplasia Screening), which is not on this map. Cited by 194 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 2 pooled it
13.9field-weighted citation impact, top 1% of its field
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.

NCT05870696 unknown statusnot on this mapstarted 2023, after this paper: background citation

Evaluation of the Serum Metabolite Based PrecogColo Dx Test for Advanced Colorectal Neoplasia Screening

TypeobservationalSponsorPeking University Third HospitalRan2023 to 2024Enrolled2,000ConditionsColorectal AdenomaArmsPrecogColo Dx test
3 · Its place in the literature

Who cites it

194 citing papers in PubMed, 2 syntheses or guidelines pooled it, 260 citations in OpenAlex.

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  8. Clinical potential of the gut microbiome in oncology: a scoping review of treatment response, toxicity and biomarker development.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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134 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Feng Chen *Department of Clinical Laboratory, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.ORCID 0000-0003-2034-6351
Xudong Dai *Dept of Clinical Research, Precogify Pharmaceutical Co, Ltd, Beijing, China.
Chang-Chun ZhouShandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Ke-Xin LiDepartment of Clinical Laboratory, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Yu-Juan ZhangDepartment of Clinical Laboratory, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Xiao-Ying LouDepartment of Clinical Laboratory, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Yuan-Min ZhuDepartment of Gastroenterology, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Yan-Lai SunDepartment of Gastrointestinal Cancer Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Bao-Xiang PengClinical Laboratory, Linyi Cancer Hospital, Linyi, China.
Wei CuiDepartment of Clinical Laboratory, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China wendycuiwei@sina.cn.ORCID 0000-0002-0947-5091
Chinese Academy of Medical Sciences & Peking Union Medical College · CNShandong Tumor Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo profile gut microbiome-associated metabolites in serum and investigate whether these metabolites could distinguish individuals with colorectal cancer (CRC) or adenoma from normal healthy individuals.

designIntegrated analysis of untargeted serum metabolomics by liquid chromatography-mass spectrometry and metagenome sequencing of paired faecal samples was applied to identify gut microbiome-associated metabolites with significantly altered abundance in patients with CRC and adenoma. The ability of these metabolites to discriminate between CRC and colorectal adenoma was tested by targeted metabolomic analysis. A model based on gut microbiome-associated metabolites was established and evaluated in an independent validation cohort.

resultsIn total, 885 serum metabolites were significantly altered in both CRC and adenoma, including eight gut microbiome-associated serum metabolites (GMSM panel) that were reproducibly detected by both targeted and untargeted metabolomics analysis and accurately discriminated CRC and adenoma from normal samples. A GMSM panel-based model to predict CRC and colorectal adenoma yielded an area under the curve (AUC) of 0.98 (95% CI 0.94 to 1.00) in the modelling cohort and an AUC of 0.92 (83.5% sensitivity, 84.9% specificity) in the validation cohort. The GMSM model was significantly superior to the clinical marker carcinoembryonic antigen among samples within the validation cohort (AUC 0.92 vs 0.72) and also showed promising diagnostic accuracy for adenomas (AUC=0.84) and early-stage CRC (AUC=0.93).

conclusionGut microbiome reprogramming in patients with CRC is associated with alterations of the serum metabolome, and GMSMs have potential applications for CRC and adenoma detection.

Indexed as

AdenomaColorectal NeoplasmsGastrointestinal MicrobiomeBiomarkers, TumorHumansMetabolomeMetagenomeBiomarkers, Tumorcolorectal adenomascolorectal cancer

Identifiers

PMID34462336
PMCPMC9185821
OpenAlexW3198566667

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.