ArticleJournal of cellular and molecular medicine2024
Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments.
Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Zinc-dependent Zip7-MAZ-MYBL2 axis promotes prostate cancer metastasis.Communications biology · 2026Article
- Probing uric acid-related prognostic genes and their molecular mechanisms in prostate cancer based on transcriptomic data.Discover oncology · 2026Article
- AI-Driven Drug Discovery: Focus on Targets for Solid Tumors.Pharmaceutics · 2026Review
- Research advances in the role of osteoblasts and their derivatives in the development, recurrence, and distant metastasis of malignant bone tumors: a narrative review.EFORT open reviews · 2025Review
- Identification of programmed cell death associated key genes in benign prostatic hyperplasia and prostate cancer development by integrated bioinformatics analysis and machine learning.Translational andrology and urology · 2025Article
- Mechanistic analysis of luteolin in mitigating dry age-related macular degeneration through network pharmacology and experimental validation.Scientific reports · 2025Article
- The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025Review
- Prognostic and predictive value of pathohistological features in gastric cancer and identification of SLITRK4 as a potential biomarker for gastric cancer.Scientific reports · 2024Article
- Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments.Journal of cellular and molecular medicine · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
The aetiology of bone metastasis in prostate cancer (PCa) remains unclear. This study aims to identify hub genes involved in this process. We utilized machine learning, GO, KEGG, GSEA, Single-cell analysis, ROC methods to identify hub genes for bone metastasis in PCa using the TCGA and GEO databases. Potential drugs targeting these genes were identified. We validated these results using 16 specimens from patients with PCa and analysed the relationship between the hub genes and clinical features. The impact of APOC1 on PCa was assessed through in vitro experiments. Seven hub genes with AUC values of 0.727-0.926 were identified. APOC1, CFH, NUSAP1 and LGALS1 were highly expressed in bone metastasis tissues, while NR4A2, ADRB2 and ZNF331 exhibited an opposite trend. Immunohistochemistry further confirmed these results. The oxidative phosphorylation pathway was significantly enriched by the identified genes. Aflatoxin B1, benzo(a)pyrene, cyclosporine were identified as potential drugs. APOC1 expression was correlated with clinical features of PCa metastasis. Silencing APOC1 significantly inhibited PCa cell proliferation, clonality, and migration in vitro. This study identified 7 hub genes that potentially facilitate bone metastasis in PCa through mitochondrial metabolic reprogramming. APOC1 emerged as a promising therapeutic target and prognostic marker for PCa with bone metastasis.
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Registered trials
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.