Evidence map›Paper›PMID 29541009›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Hailong Zhang, Longzhen Cui, Wen Liu, Zhenfeng Wang, Yang Ye, Xue Li, Huijuan Wang

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Targeted metabolomic profiling of gastric cancer biopsies.The Indian journal of medical research · 2026
    Article
  2. Scientific reports · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Serum metabolomic profiling for patients with adenocarcinoma of the esophagogastric junction.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors.

Hailong ZhangJoint National Laboratory for Antibody Drug Engineering, Henan Key Laboratory of Cellular and Molecular Immunology, Henan University, Kaifeng, 475004, Henan, China.
Longzhen CuiSchool of Basic Medicine, Henan University, Kaifeng, 475004, Henan, China.
Wen LiuSchool of Basic Medicine, Henan University, Kaifeng, 475004, Henan, China.
Zhenfeng WangJoint National Laboratory for Antibody Drug Engineering, Henan Key Laboratory of Cellular and Molecular Immunology, Henan University, Kaifeng, 475004, Henan, China.
Yang YeJoint National Laboratory for Antibody Drug Engineering, Henan Key Laboratory of Cellular and Molecular Immunology, Henan University, Kaifeng, 475004, Henan, China.
Xue LiSchool of Basic Medicine, Henan University, Kaifeng, 475004, Henan, China.
Huijuan WangJoint National Laboratory for Antibody Drug Engineering, Henan Key Laboratory of Cellular and Molecular Immunology, Henan University, Kaifeng, 475004, Henan, China. juanjuan5891@163.com.ORCID http://orcid.org/0000-0002-8113-3774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGastric cancer (GC) is a malignant tumor worldwide. As primary pathway for metastasis, the lymphatic system is an important prognostic factor for GC patients. Although the metabolic changes of gastric cancer have been investigated in extensive studies, little effort focused on the metabolic profiling of lymph node metastasis (LNM)-positive or negative GC patients.

objectivesWe performed

methods

resultsThere was a clear separation between GC patients and normal controls, and 33 differential metabolites were identified in the study. Moreover, GC patients were also well-classified according to LNM-positive or negative. Totally eight distinguishing metabolites were selected in the metabolic profiling of GC patients with LNM-positive or negative, suggesting the metabolic dysfunction in the process of LNM. According to further validation and analysis, especially BCAAs metabolism (leucine, isoleucine, valine), GSH and betaine may be as potential factors of diagnose and prognosis of GC patients with or without LNM.

conclusionTo our knowledge, this is the first metabolomics study focusing on LNM of GC. The identified distinguishing metabolites showed a promising application on clinical diagnose and therapy prediction, and understanding the mechanism underlying the carcinogenesis, invasion and metastasis of GC.

Indexed as

Gastric cancerLymph node metastasisMetabolic profilingTissue

Identifiers

PMID29541009
PMCPMC5840249

What OpenQuestion holds

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Registered trials

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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.