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Updated: Aug 11, 2025
Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
Published on: January 22, 2018
Prognostic Impact of Aberrantly Expressed Protein-coding Gene Associated With Gastric Cancer's Regulatory T Cells,
Context:
Gastric cancer (GC) remains one of the most prevalent malignancies worldwide, and no effective cure exists for advanced GC. Clinicians believe that molecularly targeted therapy through PCGs may replace surgery, radiotherapy, and other treatments as a breakthrough in curing malignancies.
Objective:
The study intended to examine the impact of aberrant expression of the protein-coding genes (PCGs) associated with regulatory T cells on the prognosis of patients with gastric cancer (GC).
Design:
The research team performed a genetic study through research of genetic data in online databases.
Setting:
The study took place at Zhongda Hospital.
Outcome Measures:
The research team selected a publicly available dataset, genetic suppressor element 109476 (GSE109476), from the Gene Expression Omnibus (GEO) database for differential gene analysis, gene ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis to screen for PCGs associated with regulatory T cells as well as the Gene Expression Profiling Interactive Analysis (GEPIA) database with the Kaplan-Meier Plotter database to analyze the expression of the above PCGs in GC and the prognostic impact on GC.
Results:
The GEO2R analysis found 315 differentially expressed PCGs in GSE109476, among which nine PCGs were associated with regulatory T cells: (1) chemokine (C-C motif) ligand 19 (CCL19), (2) CCL21, (3) C-C chemokine receptor type 7 (CCR7), (4) cluster of differentiation 70 (CD70), (5) ephrin B3 (EFNB3), (6) early growth response 3 (EGR3), (7) interleukin-7 receptor (IL7R), (8) galectin-1 (LGALS1), and (9) tumor necrosis factor (TNF) receptor superfamily member 13C (TNFRSF13C). The GEPIA database indicated that no significant differences existed between the expression of CCL19, CCL21, CD70, EFNB3, EGR3, IL7R, and TNFRSF13C in stomach adenocarcinoma (STAD) tissues and that in normal tissues (P > .05), while expressions of CCR7 and LGALS1 were significantly elevated in STAD tissues compared to the normal tissues (P < .05). The Kaplan-Meier Plotter database analysis, on the other hand, showed a significant relationship between all of the above-mentioned PCGs, except CCL19, and the prognosis of GC.
Conclusions:
CCL19, CCL21, CCR7, CD70, EFNB3, EGR3, IL7R, LGALS1, and TNFRSF13C are PCGs are differentially expressed in GC and closely associated with regulatory T cells. They may affect the occurrence and development of GC through a variety of pathways, including regulation of immune infiltration and inflammation, and are of great potential research value.
Insights
Nine protein-coding genes (PCGs) associated with regulatory T cells show differential expression in gastric cancer (GC). These genes, including CCR7 and LGALS1, may impact GC development and prognosis, offering potential for targeted therapies.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Gastric cancer (GC) is a prevalent malignancy with no effective cure for advanced stages.
- Molecularly targeted therapy using protein-coding genes (PCGs) is a potential breakthrough for cancer treatment.
Purpose of the Study:
- To investigate the impact of aberrant expression of PCGs associated with regulatory T cells on gastric cancer patient prognosis.
- To identify specific PCGs that are differentially expressed and linked to GC development.
Main Methods:
- Utilized the Gene Expression Omnibus (GEO) database (GSE109476) for differential gene expression analysis.
- Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.
- Analyzed PCG expression and prognostic impact using the Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier Plotter databases.
Main Results:
- Identified nine differentially expressed PCGs associated with regulatory T cells: CCL19, CCL21, CCR7, CD70, EFNB3, EGR3, IL7R, LGALS1, and TNFRSF13C.
- Found significantly elevated expression of CCR7 and LGALS1 in gastric adenocarcinoma (STAD) tissues compared to normal tissues.
- Demonstrated a significant association between eight of the nine PCGs (excluding CCL19) and GC prognosis.
Conclusions:
- The identified nine PCGs are differentially expressed in GC and associated with regulatory T cells.
- These PCGs may influence GC occurrence and progression via pathways like immune infiltration and inflammation.
- The identified PCGs hold significant potential for future research and targeted therapeutic strategies in gastric cancer.
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