ArticleScientific reports2023
Data mining combines bioinformatics discover immunoinfiltration-related gene SERPINE1 as a biomarker for diagnosis and prognosis of stomach adenocarcinoma.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed, 27 citations in OpenAlex.
- Construction of a risk model based on folate metabolism-related genes to predict prognosis and immunological characteristics of stomach adenocarcinoma.Discover oncology · 2026Article
- Ethnopharmacological evaluation and metabolic mechanism of Sanjie Xiaoliu Granule in breast cancer with depression.Biological procedures online · 2026Article
- Unlocking the potential: current landscape and future directions of immunotherapy in gastric cancer.Frontiers in immunology · 2026Review
- Identification of NETs and inflammation-related prognostic genes in breast cancer and PCR experimental validation.Frontiers in genetics · 2026Article
- Evidence of an allostatic response by intestinal tissues following induction of joint inflammation.PloS one · 2026Article
- Identification and experimental validation of biomarkers related to mitochondrial and programmed cell death in obsessive-compulsive disorder.Scientific reports · 2025Article
- NLRP3 inflammasome expression affects immune cell infiltration and clinical prognosis inMolecular medicine reports · 2025Article
- NFATC2/SERPINE1/JAK3/STAT3 signaling feedback loop in gastric cancer: immune evasion and anti-PD-1 resistance.Cell biology and toxicology · 2025Article
- Predicting immune status and gene mutations in stomach adenocarcinoma patients based on inflammatory response-related prognostic features.Discover oncology · 2025Article
- Characterization of SUSD3 as a novel prognostic biomarker and therapeutic target for breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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
- Gastric cancer-derived exosomal let-7 g-5p mediated by SERPINE1 promotes macrophage M2 polarization and gastric cancer progression.Journal of experimental & clinical cancer research : CR · 2025Article
- SERPINE1 maintained expression by NR4A1 promotes invasion and migration of glioblastoma in hypoxic microenvironment.Frontiers in oncology · 2025Article
- Training and experimental validation a novel anoikis- and epithelial‒mesenchymal transition-related signature for evaluating prognosis and predicting immunotherapy efficacy in gastric cancer.Journal of Cancer · 2025Article
- Development of Novel PANoptosis-Related Gene Signatures to Predict the Prognosis of Patients With Stomach Adenocarcinoma.Human mutation · 2025Article
- Article
- Glial-Cell-Line-Derived Neurotrophic Factor Promotes Glioblastoma Cell Migration and Invasion via the SMAD2/3-SERPINE1-Signaling Axis.International journal of molecular sciences · 2024Article
- Recognition of Chinese Electronic Medical Records for Rehabilitation Robots: Information Fusion Classification Strategy.Sensors (Basel, Switzerland) · 2024Article
- Pan-cancer analysis of SERPINE1 with a concentration on immune therapeutic and prognostic in gastric cancer.Journal of cellular and molecular medicine · 2024Article
- Regulatory mechanisms of dopamine metabolism in a marineSynthetic and systems biotechnology · 2024Article
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stomach adenocarcinoma (STAD) is a type of cancer which often at itsadvanced stage apon diagnosis and mortality in clinical practice. Several factors influencethe prognosis of STAD, including the expression and regulation of immune cells in the tumor microenvironment. We here investigated the biomarkers related to the diagnosis and prognosis of gastric cancer, hoping to provide insights for the diagnosis and treatment of gastric cancer in the future. STAD and normal patient RNA sequencing data sets were accessed from the cancer genome atlas (TCGA database). Differential genes were determined and obtained by using the R package DESeq2. The stromal, immune, and ESTIMATE scores are calculated by the ESTIMATE algorithm, followed by the modular genes screening using the R package WGCNA. Subsequently, the intersection between the modular gene and the differential gene was taken and the STRING database was used for PPI network module analysis. The R packages clusterProfiler, enrichplot, and ggplot2 were used for GO and KEGG enrichment analysis. Cox regression analysis was used to screen survival-related genes, and finally, the R package Venn Diagram was used to take the intersection and obtain 7 hub genes. The time-dependent ROC curve and Kaplan-Meier survival curve were used to find the SERPINE1 gene, which plays a critical role in prognosis. Finally, the expression pattern, clinical characteristics, and regulatory mechanism of SERPINE1 were analyzed in STAD. We revealed that the expression of SERPINE1 was significantly increased in the samples from STAD compared with normal samples. Cox regression, time-dependent ROC, and Kaplan-Meier survival analyses demonstrated that SERPINE1 was significantly related to the adverse prognosis of STAD patients. The expression of SERPINE1 increased with the progression of T, N, and M classification of the tumor. In addition, the results of immune infiltration analysis indicated that the immune cells' expression were higher in high SERPINE1 expression group than that in low SERPINE1 expression group, including CD4
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