ArticleAging2020
Prognostic value of prostaglandin I2 synthase and its correlation with tumor-infiltrating immune cells in lung cancer, ovarian cancer, and gastric cancer.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 57 citations in OpenAlex.
- Identifying Predictive Biomarkers and Immune Infiltration Features in Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026Article
- Targeting the Vim-PGIHuman mutation · 2026Article
- Endogenous modulators in lung cancer.World journal of clinical cases · 2025Article
- Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer.Biomedicines · 2025Article
- Immunoregulatory mechanisms of the arachidonic acid pathway in cancer.FEBS letters · 2025Review
- A Machine Learning Computational Framework Develops a Multiple Programmed Cell Death Index for Improving Clinical Outcomes in Bladder Cancer.Biochemical genetics · 2024Article
- Identifying the signature of NAD+ metabolism-related genes for immunotherapy of gastric cancer.Heliyon · 2024Article
- The endoplasmic reticulum stress-related genes and molecular typing predicts prognosis and reveals characterization of tumor immune microenvironment in lung squamous cell carcinoma.Discover oncology · 2024Article
- The clinical significance of endoplasmic reticulum stress related genes in non-small cell lung cancer and analysis of single nucleotide polymorphism for CAV1.Frontiers in molecular biosciences · 2024Article
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- Validating the role of PTGIS gene in colorectal cancer by bioinformatics analysis and in vitro experiments.Scientific reports · 2023Article
- Article
- Deciphering a cell death-associated signature for predicting prognosis and response to immunotherapy in lung squamous cell carcinoma.Respiratory research · 2023Article
- Regulations of Tumor Microenvironment by Prostaglandins.Cancers · 2023Review
- A Prognostic Model Based on Metabolism-Related Genes for Patients with Ovarian Cancer.Doklady. Biochemistry and biophysics · 2023Article
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- Article
- Effects of Lipid Metabolism-Related Genes PTGIS and HRASLS on Phenotype, Prognosis, and Tumor Immunity in Lung Squamous Cell Carcinoma.Oxidative medicine and cellular longevity · 2023Article
- Prognostic value of nicotinamide adenine dinucleotide (NADJournal of gastrointestinal oncology · 2022Article
- Metabolism reprogramming signature associated with stromal cells abundance in tumor microenvironment improve prognostic risk classification for gastric cancer.BMC gastroenterology · 2022Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstaglandin I2 synthase (PTGIS) is a crucial gene for the synthesis of prostaglandin I2, which has multiple roles in inflammation and immune modulation. However, studies on the prognostic value of PTGIS and its correlation with tumor-infiltrating immune cells in multiple cancers are still rare.
resultsMultiple datasets of the Oncomine database showed that PTGIS was expressed at low levels in lung cancer and ovarian cancer compared to the levels in normal tissues. Kaplan-Meier plotter showed that high PTGIS was associated with poor overall survival and progression-free survival in lung, ovarian, and gastric cancers. Moreover, PTGIS expression was significantly positively correlated with infiltrating levels of macrophages and was strongly associated with a variety of immune markers, especially tumor-associated macrophages (TAMs) and T-regulatory cells (Tregs).
conclusionsHigh expression of PTGIS could promote the infiltration of TAMs and Tregs in the tumor microenvironment and deteriorate outcomes of patients with lung, ovarian, and gastric cancers. These findings suggest that PTGIS could be taken as a potential biomarker of prognosis and tumor-infiltrating immune cells.
methodsPTGIS expression was investigated in different datasets of the Oncomine database, and its expression levels in various tumors and corresponding normal tissues were analyzed by the Tumor Immune Estimation Resource (TIMER). Then, the clinical prognostic value of PTGIS was assessed with online public databases. In addition, we initially explored the correlation between PTGIS and tumor-infiltrating immune cells by TIMER and Gene Expression Profiling Interactive Analysis (GEPIA).
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