ArticleFrontiers in genetics2021
Immune-Related Genes Are Prognostic Markers for Prostate Cancer Recurrence.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Integrated identification of key immune related genes and patterns of immune infiltration in calcified aortic valvular disease: A network based meta-analysis.Frontiers in genetics · 2022Pooled it
- Immunoediting and precision biomarkers in prostate cancer: The emerging role of liquid biopsy, immune contexture and HLA genotype (Review).International journal of oncology · 2026Review
- Exploring BIRC family genes as prognostic biomarkers and therapeutic targets in prostate cancer.Discover oncology · 2025Article
- Review
- Identification of fatty acid anabolism patterns to predict prognosis and immunotherapy response in gastric cancer.Discover oncology · 2025Article
- Identification of epithelial-mesenchymal transition prognostic signature associated with prognosis, tumor microenvironment, and therapeutic effect in prostate cancer.Frontiers in genetics · 2025Article
- BIRC5 knockdown ameliorates hepatocellular carcinoma progression via regulating PPARγ pathway and cuproptosis.Discover oncology · 2024Article
- AC099850.3 promotes HBV-HCC cell proliferation and invasion through regulating CD276: a novel strategy for sorafenib and immune checkpoint combination therapy.Journal of translational medicine · 2024Article
- Predicting prostate cancer recurrence: Introducing PCRPS, an advanced online web server.Heliyon · 2024Article
- E2F3 renders an immunosuppressive tumor microenvironment in nasopharyngeal carcinoma: Involvements of the transcription activation of PRC1 and BIRC5.Immunity, inflammation and disease · 2023Article
- Article
- Accurate prognosis for localized prostate cancer through coherent voting networks with multi-omic and clinical data.Scientific reports · 2023Article
- Oscillatory shear stress promotes vein graft intimal hyperplasiaFrontiers in surgery · 2023Article
- A lncRNA-immune checkpoint-related gene signature predicts metastasis-free survival in prostate adenocarcinoma.Translational andrology and urology · 2022Article
- Article
- Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstate cancer (PCa) is an immune-responsive disease. The current study sought to explore a robust immune-related prognostic gene signature for PCa.
methodsData were retrieved from the tumor Genome Atlas (TCGA) database and GSE46602 database for performing the least absolute shrinkage and selection operator (LASSO) cox regression model analysis. Immune related genes (IRGs) data were retrieved from ImmPort database.
resultsThe weighted gene co-expression network analysis (WGCNA) showed that nine functional modules are correlated with the biochemical recurrence of PCa, including 259 IRGs. Univariate regression analysis and survival analysis identified 35 IRGs correlated with the prognosis of PCa. LASSO Cox regression model analysis was used to construct a risk prognosis model comprising 18 IRGs. Multivariate regression analysis showed that risk score was an independent predictor of the prognosis of PCa. A nomogram comprising a combination of this model and other clinical features showed good prediction accuracy in predicting the prognosis of PCa. Further analysis showed that different risk groups harbored different gene mutations, differential transcriptome expression and different immune infiltration levels. Patients in the high-risk group exhibited more gene mutations compared with those in the low-risk group. Patients in the high-risk groups showed high-frequency mutations in TP53. Immune infiltration analysis showed that M2 macrophages were significantly enriched in the high-risk group implying that it affected prognosis of PCa patients. In addition, immunostimulatory genes were differentially expressed in the high-risk group compared with the low-risk group. BIRC5, as an immune-related gene in the prediction model, was up-regulated in 87.5% of prostate cancer tissues. Knockdown of BIRC5 can inhibit cell proliferation and migration.
conclusionIn summary, a risk prognosis model based on IGRs was developed. A nomogram comprising a combination of this model and other clinical features showed good accuracy in predicting the prognosis of PCa. This model provides a basis for personalized treatment of PCa and can help clinicians in making effective treatment decisions.
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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.