Evidence map›Paper›PMID 37978537›Full record

ArticleJournal of translational medicine2023

Profiling the metabolic disorder and detection of colorectal cancer based on targeted amino acids metabolomics.

Yang Yang, Zhipeng Wang, Xinxing Li, Jianfeng Lv, Renqian Zhong, Shouhong Gao, Feng Zhang, Wansheng Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-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

14 citing papers in PubMed, 16 citations in OpenAlex.

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  12. LC-MS metabolomics analysis of serum metabolites during neoadjuvant chemoradiotherapy in locally advanced rectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  13. iScience · 2024
    Article
  14. Article
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 at 4 institutions in 1 country.

Yang Yang *Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.ORCID 0000-0001-5618-3940
Zhipeng Wang *Department of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.ORCID 0000-0002-7964-9288
Xinxing LiDepartment of General Surgery, Tongji Hospital, Tongji University, Shanghai, 200092, China.
Jianfeng LvDepartment of Pharmacy, Taixing People's Hospital, Taixing, 225400, Jiangsu, China.
Renqian ZhongDepartment of Laboratory Medicine, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
Shouhong GaoDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. gaoshouhong@smmu.edu.cn.
Feng ZhangDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. fengzhang@smmu.edu.cn.
Wansheng ChenDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China. chenwansheng@smmu.edu.cn.ORCID 0000-0002-0025-1315
Second Military Medical University · CNTaixing People's Hospital · CNTongji University · CNXuzhou Medical College · CN

Funding

Jin-Zi-Ta Talent projects of Shanghai Changzheng Hospital, China YQ672National Natural Science Foundation of China 82204819Science and Technology Talent Development Project of CPLA ZG2019-174Shanghai Municipal Health Commission 20214Y0319
6 · The paper itself

Abstract

backgroundThe morbidity of cancer keeps growing worldwide, and among that, the colorectal cancer (CRC) has jumped to third. Existing early screening tests for CRC are limited. The aim of this study was to develop a diagnostic strategy for CRC by plasma metabolomics.

methodsA targeted amino acids metabolomics method was developed to quantify 32 plasma amino acids in 130 CRC patients and 216 healthy volunteers, to identify potential biomarkers for CRC, and an independent sample cohort comprising 116 CRC subjects, 33 precancerosiss patients and 195 healthy volunteers was further used to validate the diagnostic model. Amino acids-related genes were retrieved from Gene Expression Omnibus and Molecular Signatures Database and analyzed.

resultsThree were chosen out of the 32 plasma amino acids examined. The tryptophan / sarcosine / glutamic acid -based receiver operating characteristic (ROC) curve showed the area under the curve (AUC) of 0.955 (specificity 83.3% and sensitivity 96.8%) for all participants, and the logistic regression model were used to distinguish between early stage (I and II) of CRC and precancerosiss patients, which showed superiority to the commonly used carcinoembryonic antigen. The GO and KEGG enrichment analysis proved many alterations in amino acids metabolic pathways in tumorigenesis.

conclusionThis altered plasma amino acid profile could effectively distinguish CRC patients from precancerosiss patients and healthy volunteers with high accuracy. Prognostic tests based on the tryptophan/sarcosine/glutamic acid biomarkers in the large population could assess the clinical significance of CRC early detection and intervention.

Indexed as

Amino AcidsColorectal NeoplasmsBiomarkers, TumorGlutamatesHumansMetabolomicsSarcosineTryptophanAmino AcidsBiomarkers, TumorGlutamatesSarcosineTryptophanAmino acidsColorectal cancerDiagnostic modelTargeted metabolomicsTranscriptome

Identifiers

PMID37978537
PMCPMC10655464
OpenAlexW4388774688

What OpenQuestion holds

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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.