ArticleJournal of cellular and molecular medicine2023
Intratumoral immune heterogeneity of prostate cancer characterized by typing and hub genes.
Article in Journal of cellular and molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 12 citations in OpenAlex.
- CXCL11 recruits immunosuppressive cells to form a barrier at the invasive front of pancreatic cancer by activating the NF-κB/CCL2 axis.Translational oncology · 2026Article
- Construction of a prognostic model and multidimensional analysis of hepatocellular carcinoma based on palmitoylation-related genes.Discover oncology · 2026Article
- METTL14 modulates the nasopharyngeal carcinoma microenvironment via mFrontiers in immunology · 2026Article
- Identification and validation of a novel lymph node metastasis-related model for papillary thyroid carcinoma to predict the prognosis.Gland surgery · 2025Article
- Prognostic value of LncRNA PSMA3-AS1 in prostate cancer and its potential regulatory mechanism.Hereditas · 2025Article
- The Interaction Between Vasculogenic Mimicry and the Immune System: Mechanistic Insights and Dual Exploration in Cancer Therapy.Cell proliferation · 2025Review
- Bioinformatics analysis reveals that CBX2 promotes enzalutamide resistance in prostate cancer.European journal of medical research · 2024Article
- The role of proinflammatory cytokines and CXC chemokines (CXCL1-CXCL16) in the progression of prostate cancer: insights on their therapeutic management.Cellular & molecular biology letters · 2024Review
- Integrated analysis of single-cell sequencing and machine learning identifies a signature based on monocyte/macrophage hub genes to analyze the intracranial aneurysm associated immune microenvironment.Frontiers in immunology · 2024Article
- Identification of antigen-presentation related B cells as a key player in Crohn's disease using single-cell dissecting, hdWGCNA, and deep learning.Clinical and experimental medicine · 2023Article
- Intratumoral immune heterogeneity of prostate cancer characterized by typing and hub genes.Journal of cellular and molecular medicine · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Discordant abundances of different immune cell subtypes is regarded to be an essential feature of tumour tissue. Direct studies in Prostate cancer (PC) of intratumoral immune heterogeneity characterized by immune cell subtype, are still lacking. Using the single sample gene set enrichment analysis (ssGSEA) algorithm, the abundance of 28 immune cells infiltration (ICI) were determined for PC. A NMF was performed to determine tumour-sample clustering based on the abundance of ICI and PFS information. Hub genes of clusters were identified via weighted gene co-expression network analysis (WGCNA). The multivariate dimensionality reduction analysis of hub genes expression matrix was carried out via principal component analysis (PCA) to obtain immune score (IS). We analysed the correlation between clustering, IS and clinical phenotype. We divided the 495 patients into clusterA (n = 193) and clusterB (n = 302) on the basis of ICI and PFS via NMF. The progression-free survival (PFS) were better for clusterA than for clusterB (p < 0.001). Each immune cell subtypes was more abundant in clusterA than in clusterB (p < 0.001). The expression levels of CTAL-4 and PD-L1 were lower in clusterB than in clusterA (p < 0.001 and p = 0.006). We obtained 103 hub genes via WGCNA. In the training and validation cohorts, the prognosis of high IS group was worse than that of the low IS group (p < 0.05). IS had good predictive effect on 5-year PFS. The expression of immune checkpoint genes was higher in the low IS group than in the high IS group (p < 0.01). Patients with low IS and receiving hormone therapy had better prognosis than other groups. The combination of IS and clinical characteristics including lymph node metastasis and gleason score can better differentiate patient outcomes than using it alone. IS was a practical algorithm to predict the prognosis of patients. Advanced PC patients with low IS may be more sensitive to hormone therapy. CXCL10, CXCL5, MMP1, CXCL12, CXCL11, CXCL2, STAT1, IL-6 and TLR2 were hub genes, which may drive the homing of immune cells in tumours and promote immune cell differentiation.
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