Evidence map›Paper›PMID 42358976›Full record

ArticleFrontiers in immunology2026

Identification of G4-regulated immune-related drug targets for prostate cancer based on G4 screen and machine learning.

Liu Ge, Yue Hou, Xuan Huang, Jiawei Zhang, Lin Yao, Saisai Chen, Likai Mao, Wei Ning, Han Liang, Nini Shi and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Liu Ge *Department of Urology, Xishan People's Hospital of Wuxi City, Wuxi, Jiangsu, China.
Yue Hou *Military Medical Innovation Center, Fourth Military Medical University, Xi'an, China.
Xuan Huang *Reproductive Medical Center, Jinling Hospital Affiliated to Medical School of Nanjing University, Nanjing, Jiangsu, China.
Jiawei Zhang *Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Lin Yao *Department of Oncology, Jinling Hospital Affiliated to Medical School of Nanjing University, Nanjing, Jiangsu, China.
Saisai ChenDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Likai MaoDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China.
Wei NingMilitary Medical Innovation Center, Fourth Military Medical University, Xi'an, China.
Han LiangMilitary Medical Innovation Center, Fourth Military Medical University, Xi'an, China.
Nini ShiMilitary Medical Innovation Center, Fourth Military Medical University, Xi'an, China.
ChangBin YangMilitary Medical Innovation Center, Fourth Military Medical University, Xi'an, China.
Dongfang JiangThe People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Danyang, Jiangsu, China.
Yuanji ShenDepartment of Urology, Nanjing Pukou Hospital of Traditional Chinese Medicine (TCM), Nanjing, Jiangsu, China.
Bing ZhengDepartment of Urology, Southeast University Affiliated Nantong First People's Hospital, Nantong, Jiangsu, China.
Chuanjun Shu *Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Minhao ZhangDepartment of Urology, Xishan People's Hospital of Wuxi City, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Methods: 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, Naïve 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. Results: 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-κB pathway, enhancing cancer cell viability, proliferation, and migration. Computational screening confirmed IKBKB's druggability and identified potential inhibitors (e.g., Auranofin). AI-assisted design generated peptide inhibitors targeting IKBKB and a CRISPR-dCas9 strategy for G4 disruption. Conclusions: IKBKB is a G4-regulated, immune-related driver of prostate cancer progression. Its overexpression is linked to NF-κB 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.

Indexed as

Antineoplastic AgentsMachine LearningProstatic NeoplasmsCell Line, TumorComputational BiologyEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansI-kappa B KinaseMalePromoter Regions, GeneticTumor MicroenvironmentAntineoplastic AgentsI-kappa B KinaseG4IKBKBimmune-related drug targetsmachine learningprostate cancer

Identifiers

PMID42358976
PMCPMC13291070

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LicenceCC BY
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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 OpenQuestion graph.