{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T06:04:19Z","timestamp":1781071459831,"version":"3.54.1"},"reference-count":30,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T00:00:00Z","timestamp":1781049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>G-quadruplex (G4) structures are important epigenetic regulators and potential therapeutic targets in cancer. However, their role in prostate cancer, particularly in relation to the immune microenvironment, remains poorly understood.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We performed BG4 ChIP-seq to map genome-wide G4 structures in the prostate cancer cell line C4-2. Bioinformatics analyses integrated G4-associated genes with immune pathway enrichment and machine learning algorithms (LASSO, SVM-RFE, GBM, Na\u00efve Bayes, and GLM) to identify hub genes in prostate cancer progression. Clinical data from GTEx, TCGA, and HPA were analyzed for expression and survival. Functional validation included qPCR, CCK-8, colony formation, and wound-healing assays. Druggability was assessed using DrugnomeAI, and AI-assisted peptide design was performed with RFdiffusion and ProteinMPNN.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We identified 1,289 prostate cancer-specific G4 structures, predominantly in promoter regions. Machine learning and immune enrichment analysis pinpointed IKBKB as a key hub gene in prostate cancer progression. IKBKB was overexpressed in prostate cancer tissues, correlated with advanced stage and poor prognosis, and was regulated by promoter G4 structures via transcription factors AR and ERG. IKBKB promoted genome instability, tumor stemness, and immune microenvironment remodeling. G4 stabilization increased IKBKB expression and activated the NF-\u03baB pathway, enhancing cancer cell viability, proliferation, and migration. Computational screening confirmed IKBKB\u2019s druggability and identified potential inhibitors (e.g., Auranofin). AI-assisted design generated peptide inhibitors targeting IKBKB and a CRISPR-dCas9 strategy for G4 disruption.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>IKBKB is a G4-regulated, immune-related driver of prostate cancer progression. Its overexpression is linked to NF-\u03baB activation, genomic instability, and immune microenvironment alterations. The study proposes two novel therapeutic strategies: G4 disruption at the IKBKB promoter and AI-designed peptide inhibitors. These findings provide a framework for combining epigenetic targeting with immunotherapy in prostate cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fimmu.2026.1806289","type":"journal-article","created":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T05:40:20Z","timestamp":1781070020000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of G4-regulated immune-related drug targets for prostate cancer based on G4 screen and machine learning"],"prefix":"10.3389","volume":"17","author":[{"given":"Liu","family":"Ge","sequence":"first","affiliation":[{"name":"Department of Urology, Xishan People\u2019s Hospital of Wuxi City","place":["Wuxi, Jiangsu, China"]},{"name":"Department of Urology, Affiliated Zhongda Hospital of Southeast University","place":["Nanjing, Jiangsu, 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