Evidence map›Paper›PMID 38166693›Full record

ArticleBMC cancer2024

Utilizing serum metabolomics for assessing postoperative efficacy and monitoring recurrence in gastric cancer patients.

Tong Qu, Shaopeng Zhang, Shaokang Yang, Shuang Li, Daguang Wang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Tong QuDepartment of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, 71 Xinmin Street, 130021, Changchun, Jilin, P.R. China.
Shaopeng ZhangDepartment of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, 71 Xinmin Street, 130021, Changchun, Jilin, P.R. China.
Shaokang YangDepartment of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, 71 Xinmin Street, 130021, Changchun, Jilin, P.R. China.
Shuang LiDepartment of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, 71 Xinmin Street, 130021, Changchun, Jilin, P.R. China.
Daguang WangDepartment of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, 71 Xinmin Street, 130021, Changchun, Jilin, P.R. China. dgwang@jlu.edu.cn.
First Hospital of Jilin University · CNJilin University · CN

Funding

Major Research Program of the National Natural Science Foundation of China 91959201
6 · The paper itself

Abstract

objective(1) This study aims to identify distinct serum metabolites in gastric cancer patients compared to healthy individuals, providing valuable insights into postoperative efficacy evaluation and monitoring of gastric cancer recurrence; (2) Methods: Serum samples were collected from 15 healthy individuals, 16 gastric cancer patients before surgery, 3 months after surgery, 6 months after surgery, and 15 gastric cancer recurrence patients. T-test and analysis of variance (ANOVA) were performed to screen 489 differential metabolites between the preoperative group and the healthy control group. Based on the level of the above metabolites in the recurrence, preoperative, three-month postoperative, and six-month postoperative groups, we further selected 18 significant differential metabolites by ANOVA and partial least squares discriminant analysis (PLS-DA). The result of hierarchical clustering analysis about the above metabolites showed that the samples were regrouped into the tumor-bearing group (comprising the original recurrence and preoperative groups) and the tumor-free group (comprising the original three-month postoperative and six-month postoperative groups). Based on the results of PLS-DA, 7 differential metabolites (VIP > 1.0) were further selected to distinguish the tumor-bearing group and the tumor-free group. Finally, the results of hierarchical clustering analysis showed that these 7 metabolites could well identify gastric cancer recurrence; (3) Results: Lysophosphatidic acids, triglycerides, lysine, and sphingosine-1-phosphate were significantly elevated in the three-month postoperative, six-month postoperative, and healthy control groups, compared to the preoperative and recurrence groups. Conversely, phosphatidylcholine, oxidized ceramide, and phosphatidylglycerol were significantly reduced in the three-month postoperative, six-month postoperative, and healthy control groups compared to the preoperative and recurrence groups. However, these substances did not show significant differences between the preoperative and recurrence groups, nor between the three-month postoperative, six-month postoperative, and healthy control groups; (4) Conclusions: Our findings demonstrate the presence of distinct metabolites in the serum of gastric cancer patients compared to healthy individuals. Lysophosphatidic acid, triglycerides, lysine, sphingosine-1-phosphate, phosphatidylcholine, oxidized ceramide, and phosphatidylglycerol hold potential as biomarkers for evaluating postoperative efficacy and monitoring recurrence in gastric cancer patients. These metabolites exhibit varying concentrations across different sample categories.

Indexed as

Stomach NeoplasmsCeramidesHumansLysineLysophospholipidsMetabolomicsNeoplasm Recurrence, LocalPhosphatidylcholinesPhosphatidylglycerolsSphingosineTriglyceridesCeramidesLysineLysophospholipidsPhosphatidylcholinesPhosphatidylglycerolsSphingosinesphingosine 1-phosphateTriglyceridesBiomarkersGastric cancerPostoperative efficacyRecurrence monitoringSerum metabolites

Identifiers

PMID38166693
PMCPMC10763142
OpenAlexW4390510150

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LicenceCC BY
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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.