Evidence map›Paper›PMID 40229676›Full record

ArticleBMC gastroenterology2025

Comprehensive analysis of glycometabolism-related genes reveals PLOD2 as a prognostic biomarker and therapeutic target in gastric cancer.

Wanchun Ye, Xiaolei Zhang, Zhongjie Tang, Yufeng Hu, Yuanliang Zheng, Yuping Yuan

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

6 authors.

Wanchun Ye *The Dingli Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, The Second Affiliated Hospital of Shanghai University, Wenzhou, China.
Xiaolei Zhang *Department of Clinical Laboratory, Jinan Fourth People's Hospital, Jinan, China.
Zhongjie TangThe Dingli Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, The Second Affiliated Hospital of Shanghai University, Wenzhou, China.
Yufeng HuThe Dingli Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, The Second Affiliated Hospital of Shanghai University, Wenzhou, China.
Yuanliang ZhengThe Dingli Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, The Second Affiliated Hospital of Shanghai University, Wenzhou, China.
Yuping YuanThe Dingli Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, The Second Affiliated Hospital of Shanghai University, Wenzhou, China. ypyuan89@126.com.

Funding

the Planned Science and Technology Project of Wenzhou Y20211072the Planned Science and Technology Project of Wenzhou Y20220366
6 · The paper itself

Abstract

backgroundGastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide, with limited therapeutic options and a poor prognosis, particularly in advanced stages. Glycometabolism, a hallmark of cancer, plays a critical role in tumor progression, immune evasion, and response to therapy. However, the specific roles of glycometabolism-related genes and their prognostic and therapeutic implications in GC remain inadequately understood.

methodsTranscriptomic and clinical data from GC patients were retrieved from TCGA and GEO databases. Glycometabolism-related genes were identified and analyzed using machine learning algorithms to construct a prognostic model. Functional assays, immune profiling, and pathway enrichment analyses were performed to explore the roles of these genes in tumor progression, immune-modulatory effects, and drug resistance. PLOD2, the gene with the highest prognostic significance, was further investigated to uncover its underlying regulatory mechanisms, roles in immune modulation, and contribution to therapeutic resistance.

resultsA glycometabolism-related prognostic model consisting of four genes (PLOD2, CHSY3, SLC2A3 and SLC5A1) was developed and validated, effectively stratifying GC patients into high- and low-risk subgroups with distinct survival outcomes. Among these, PLOD2 emerged as the most significant gene, exhibiting strong associations with tumor progression and poor survival. Functional analyses revealed that PLOD2 promotes glycolysis and tumor progression through activation of the PI3K/AKT/mTOR pathway. Immune profiling revealed that PLOD2 overexpression is associated with an immunosuppressive tumor microenvironment, characterized by increased M2 macrophage infiltration and reduced immune activity. Moreover, treatment with rapamycin, an mTOR inhibitor, significantly suppressed PLOD2-mediated proliferation and anchorage-independent growth in GC cells, highlighting the central role of the PI3K/AKT/mTOR pathway in PLOD2-driven oncogenic behaviors.

conclusionsThis study identifies PLOD2 as a key prognostic biomarker and therapeutic target in gastric cancer. As a central component in a glycometabolism-related model, PLOD2 promotes glycolysis, tumor progression, and immune evasion via the PI3K/AKT/mTOR pathway. The model effectively stratifies patient risk, offering both prognostic utility and therapeutic insight. Targeting PLOD2-mediated pathways may represent a promising strategy for precision therapy and improved clinical outcomes in gastric cancer.

Indexed as

Biomarkers, TumorProcollagen-Lysine, 2-Oxoglutarate 5-DioxygenaseStomach NeoplasmsDisease ProgressionDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticGlucose Transporter Type 1GlycolysisHumansPrognosisSignal TransductionTOR Serine-Threonine KinasesBiomarkers, TumorGlucose Transporter Type 1MTOR protein, humanPLOD2 protein, humanProcollagen-Lysine, 2-Oxoglutarate 5-DioxygenaseSLC2A1 protein, humanTOR Serine-Threonine KinasesGastric cancerGlycometabolismImmune evasionPI3K/AKT/mTOR pathwayPLOD2Prognostic modelTherapeutic resistance

Identifiers

PMID40229676
PMCPMC11998276

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.