ArticleScientific reports2019
FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.
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111 citing papers in PubMed, 141 citations in OpenAlex.
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- Biomarkers of prognosis and pazopanib response in soft tissue sarcoma: An exploratory analysis.Therapeutic advances in medical oncology · 2026Article
- THSD7B promotes tumor progression and is associated with prognosis in gastric adenocarcinoma.PloS one · 2026Article
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- The Anti-Cancer Potential of Genistein: Single-Cell RNA Sequencing Analysis and Spatial Transcriptome Reveal That Genistein Targets HSD17B1 to Inhibit the Progression of Gastric Adenocarcinoma.International journal of molecular sciences · 2025Article
- Prognostic development and validation of a prediction model based on major histocompatibility complex-related differentially expressed genes in stomach adenocarcinoma.Translational cancer research · 2025Article
- A Comprehensive Analysis of the Role of DSN1 in Pan-Cancer Prognosis and Immunotherapy.Journal of Cancer · 2025Article
- Identification and validation of tumor microenvironment-related therapeutic targets in gastric cancer using integrated multi-omics and molecular docking approaches.Frontiers in bioinformatics · 2025Article
- Unveiling the Power of Mitochondrial Fission and Fusion: A Five- Gene Signature for Personalized Prognosis in Gastric Cancer.Current medicinal chemistry · 2025Article
- Comprehensive Analysis of Potential Common Pathogenic Mechanisms for COVID-19 Infection and Gastric Cancer.Analytical cellular pathology (Amsterdam) · 2025Article
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- Construction of a prognostic risk model for Stomach adenocarcinoma based on endoplasmic reticulum stress genes.Wiener klinische Wochenschrift · 2024Article
- Prediction of novel biomarkers for gastric intestinal metaplasia and gastric adenocarcinoma using bioinformatics analysis.Heliyon · 2024Article
- Molecular subtype construction and prognosis model for stomach adenocarcinoma characterized by metabolism-related genes.Heliyon · 2024Article
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- Dysregulation of iron transport-related biomarkers in blood leukocytes is associated with poor prognosis of early trauma.Heliyon · 2024Article
51 more citing papers are in PubMed but not listed here.
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8 authors at 1 institution in 1 country.
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Abstract
Gastric adenocarcinoma (GAC), also known as stomach adenocarcinoma (STAD), is one of the most lethal malignancies in the world. It is vital to classify and detect the hub genes and key pathways participated in the initiation and progression of GAC. In this study, we collected and sequenced 15 pairs of GAC tumor tissues and the adjacent normal tissues. Differentially expressed genes (DEGs) were analyzed and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) analysis were used to annotate the unique biological significance and important pathways of enriched DEGs. Moreover, we constructed the protein-protein interaction (PPI) network by Cytoscape and conducted KEGG enrichment analysis of the prime module. We further applied the TCGA database to start the survival analysis of these hub genes by Kaplan-Meier estimates. Finally, we obtained total 233 DEGs consisted of 64 up-regulated genes and 169 down-regulated genes. GO enrichment analysis found that DEGs most significantly enriched in single organism process, extracellular region, and extracellular region part. KEGG pathway enrichment analysis suggested that DEGs most significantly enriched in Protein digestion and absorption, Gastric acid secretion, and ECM-receptor interaction. Furthermore, the PPI network showed that the top 10 hub genes in GAC were IL8, COL1A1, MMP9, SST, COL1A2, TIMP1, FN1, SPARC, ALDH1A1, and SERPINE1 respectively. The prime gene interaction module in PPI network was enriched in protein digestion and absorption, ECM receptor interaction, the PI3K-Akt signaling pathway, and pathway in cancer. Survival analysis based on the TCGA database found that the expression of the FN1, SERPINE1, and SPARC significantly predicted poor prognosis of GAC. Collectively, we identified several hub genes and key pathways associated with GAC initiation and progression by analyzing the microarray data on DEGs, which provided a detailed molecular mechanism underlying GAC occurrence and progression.
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