Evidence map›Paper›PMID 34917201›Full record

Trial reportDisease markers2021

Metabolomic Profiling Identified Serum Metabolite Biomarkers and Related Metabolic Pathways of Colorectal Cancer.

Chengjian Zhang, Shengnan Zhou, Huijing Chang, Feng Zhuang, Yang Shi, Le Chang, Wanchao Ai, Juan Du, Wei Liu, Humin Liu and 3 more

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.2field-weighted citation impact, top 11% 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.

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

30 citing papers in PubMed, 40 citations in OpenAlex.

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  8. The Study of the Protection Mechanism of Calycosin-7-Molecules (Basel, Switzerland) · 2025
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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

13 authors at 2 institutions in 1 country.

Chengjian ZhangGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Shengnan ZhouGeneral Surgery Department, Peking Union Medical College Hospital, China Academy of Medical Science & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-3198-7867
Huijing ChangDepartment of Gastrointestinal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Feng ZhuangGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Yang ShiGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Le ChangGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Wanchao AiGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Juan DuGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Wei LiuGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Humin LiuGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Xukun ZhouGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Zhong WangGeneral Surgery Department, Hospital of Xinjiang Production and Construction Corps, Urumchi, China.
Tao HongGeneral Surgery Department, Peking Union Medical College Hospital, China Academy of Medical Science & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-8845-4431
Xinjiang Production and Construction Corps · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe screening and early detection of colorectal cancer (CRC) still remain a challenge due to the lack of reliable and effective serum biomarkers. Thus, this study is aimed at identifying serum biomarkers of CRC that could be used to distinguish CRC from healthy controls.

methodsA prospective 1 : 2 individual matching case-control study was performed which included 50 healthy control subjects and 98 CRC patients. Untargeted metabolomic profiling was conducted with liquid chromatography tandem mass spectrometry (LC-MS/MS) to identify CRC-related metabolites and metabolic pathways.

resultsIn total, 178 metabolites were detected, and an orthogonal partial least-squares-discriminant analysis (OPLS-DA) model was useful to distinguish CRC patients from healthy controls. Nine metabolites showed significantly differential serum levels in CRC patients under the conditions of variable importance in projection (VIP) > 1,

conclusionThe 4 identified potential metabolic biomarkers could discriminate CRC patients from healthy controls, and the 2 metabolic pathways may be activated in the CRC tissues.

Indexed as

Metabolic Networks and PathwaysMetabolomicsAdultAgedAged, 80 and overArea Under CurveBiomarkers, TumorCase-Control StudiesColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMiddle AgedProspective StudiesROC CurveBiomarkers, Tumor

Identifiers

PMID34917201
PMCPMC8670981
OpenAlexW4200144733

What OpenQuestion 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 OpenQuestion graph.