Evidence map›Paper›PMID 35444465›Full record

ArticleCancer management and research2022

1H-NMR Based Metabolomics Technology Identifies Potential Serum Biomarkers of Colorectal Cancer Lung Metastasis in a Mouse Model.

Junfei Zhang, Yuanxin Du, Yongcai Zhang, Yanan Xu, Yanying Fan, Yan Li

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Junfei Zhang *Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Yuanxin Du *Department of Pharmacology, Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Yongcai ZhangFirst Hospital of Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Yanan XuMedical Imaging Department of Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Yanying FanDepartment of Pharmacology, Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Yan LiDepartment of Pharmacology, Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.ORCID 0000-0003-2377-0238
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung metastasis is a common metastasis site of colorectal cancer which largely reduces the quality of life and survival rates of patients. The discovery of potential novel diagnostic biomarkers is very meaningful for the early diagnosis of colorectal cancer with lung metastasis. Methods: In the present study, the metabonomic profiling of serum samples of lung metastasis mice was analyzed by Results: Among these metabolites, approximately 15 were closely associated with the lung metastasis process. Pathway enrichment analysis results showed deregulation of metabolic pathways participating in the process of lung metastasis, such as synthesis and degradation of ketone bodies pathway, amino acid metabolism pathway and pyruvate metabolism pathway. Conclusion: The present study demonstrated the metabolic disturbances of serum samples of mice during the lung metastasis process of colorectal cancer and provides potential diagnostic biomarkers for the disease.

Indexed as

1H-NMRbiomarkerscolorectal cancermetabolomicsmetastasis

Identifiers

PMID35444465
PMCPMC9015044
OpenAlexW4225823325

What OpenQuestion holds

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LicenceCC BY-NC
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.