Evidence map›Paper›PMID 37583992›Full record

ArticleWorld journal of clinical cases2023

Delineation of fatty acid metabolism in gastric cancer: Therapeutic implications.

Yu Fu, Bin Wang, Peng Fu, Lei Zhang, Yi Bao, Zhen-Zhen Gao

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. 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
0.2field-weighted citation impact, top 41% 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, 1 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.

Yu FuDepartment of General Practice Medicine, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China.
Bin WangDepartment of General Practice Medicine, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China.
Peng FuDepartment of Orthopeadic Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China.
Lei ZhangDepartment of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China.
Yi BaoDepartment of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China.
Zhen-Zhen GaoDepartment of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China. gaozhenzhen@zjxu.edu.cn.
Jiaxing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of gastric cancer is extremely poor. Metabolic reprogramming involving lipids has been associated with cancer occurrence and progression.

aimTo illustrate fatty acid metabolic mechanisms in gastric cancer, detect core genes, develop a prognostic model, and provide treatment options.

methodsRaw data from The Cancer Genome Atlas and Gene Expression Omnibus databases were collected and analyzed. Differentially expressed fatty acid metabolism genes were identified and incorporated into a risk model based on least absolute shrinkage and selection operator regression analysis. Then, patients from The Cancer Genome Atlas were assigned to high- and low-risk cohorts according to the mean value of the risk score as the threshold, which was verified in the Gene Expression Omnibus database. Relationships between chemotherapeutic sensitivity and tumor microenvironment features were assessed.

resultsAn integrated evaluation was performed in this study. Fatty acid metabolism-related genes were used to construct the risk model. Patients classified into the high-risk cohort were considered to be resistant to chemotherapy based on results of the "pRRophetic" R package. Patients in the high-risk cohort were associated with type I/II interferon activation, increased inflammation level, immune cell infiltration, and tumor immune dysfunction based on the exclusion algorithm, indicating the potential benefit of immunotherapy in these patients.

conclusionWe constructed a fatty acid-related risk score model to assess the comprehensive fatty acid features in gastric cancer and validated its vital role in prognosis, chemotherapy sensitivity, and immunotherapy.

Indexed as

Fatty acidsImmunotherapyMetabolismRisk assessmentStomach neoplasms

Identifiers

PMID37583992
PMCPMC10424035
OpenAlexW4384103178

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.