ArticleEuropean urology2018
Patient-derived Models of Abiraterone- and Enzalutamide-resistant Prostate Cancer Reveal Sensitivity to Ribosome-directed Therapy.
Article in European urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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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.
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Who cites it
74 citing papers in PubMed, 117 citations in OpenAlex.
- Evolution of AR and Non-AR Alterations in ctDNA of Patients with Metastatic Prostate Cancer Treated in the Phase III Alliance A031201 Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Trial
- AR alterations inform circulating tumor DNA detection in metastatic castration resistant prostate cancer patients.Nature communications · 2024Trial
- Targeted proteomics for the detection of androgen receptor variants in preclinical models of castration-resistant prostate cancer.Clinical proteomics · 2026Article
- CDK4-selective inhibitor AU2-94 for the treatment of advanced and therapy-resistant prostate cancer.Journal of experimental & clinical cancer research : CR · 2026Article
- USP2 is an androgen-repressed survival factor that stabilises oncoproteins to facilitate therapy resistance in prostate cancer.Cell death & disease · 2026Article
- Variable cellular and radiobiological effects of [Journal of experimental & clinical cancer research : CR · 2026Article
- Isolation and typing techniques for circulating tumor cells.Biomarker research · 2026Review
- Novel Afro-Caribbean Prostate Cancer Model Reveals Ancestry-Specific Drug Vulnerabilities with Therapeutic Implications for Black Patients.Cancer research communications · 2025Article
- Endocrine cancer organoids in basic and translational medical research.Science China. Life sciences · 2025Review
- Reprogramming of Androgen Receptor Activity in Castration-resistant Prostate Cancer is Shaped by Truncated Variants.European urology focus · 2025Article
- Multi-omics identify ribosome related causal genes methylation, splicing, and expression in prostate cancer.Discover oncology · 2025Article
- The G-quadruplex ligand CX-5461: an innovative candidate for disease treatment.Journal of translational medicine · 2025Review
- Analysis of the molecular mechanisms of ulcerative colitis and atherosclerosis by microarray data.Scientific reports · 2025Article
- Rab3B Proteins: Cellular Functions, Regulatory Mechanisms, and Potential as a Cancer Therapy Target.Cell biochemistry and biophysics · 2025Review
- CDK9 inhibition inhibits multiple oncogenic transcriptional and epigenetic pathways in prostate cancer.British journal of cancer · 2024Article
- TAS3681, an androgen receptor antagonist, prevents drug resistance driven by aberrant androgen receptor signaling in prostate cancer.Molecular oncology · 2024Article
- Article
- FOXA2 rewires AP-1 for transcriptional reprogramming and lineage plasticity in prostate cancer.Nature communications · 2024Article
- Research autopsy programmes in oncology: shared experience from 14 centres across the world.The Journal of pathology · 2024Article
- Patient-derived castration-resistant prostate cancer model revealed CTBP2 upregulation mediated by OCT1 and androgen receptor.BMC cancer · 2024Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
52 authors at 9 institutions in 3 countries.
Funding
Abstract
backgroundThe intractability of castration-resistant prostate cancer (CRPC) is exacerbated by tumour heterogeneity, including diverse alterations to the androgen receptor (AR) axis and AR-independent phenotypes. The availability of additional models encompassing this heterogeneity would facilitate the identification of more effective therapies for CRPC.
objectiveTo discover therapeutic strategies by exploiting patient-derived models that exemplify the heterogeneity of CRPC. DESIGN, SETTING, AND
participantsFour new patient-derived xenografts (PDXs) were established from independent metastases of two patients and characterised using integrative genomics. A panel of rationally selected drugs was tested using an innovative ex vivo PDX culture system.
interventionThe following drugs were evaluated: AR signalling inhibitors (enzalutamide and galeterone), a PARP inhibitor (talazoparib), a chemotherapeutic (cisplatin), a CDK4/6 inhibitor (ribociclib), bromodomain and extraterminal (BET) protein inhibitors (iBET151 and JQ1), and inhibitors of ribosome biogenesis/function (RNA polymerase I inhibitor CX-5461 and pan-PIM kinase inhibitor CX-6258). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Drug efficacy in ex vivo cultures of PDX tissues was evaluated using immunohistochemistry for Ki67 and cleaved caspase-3 levels. Candidate drugs were also tested for antitumour efficacy in vivo, with tumour volume being the primary endpoint. Two-tailed t tests were used to compare drug and control treatments. RESULTS AND LIMITATIONS: Integrative genomics revealed that the new PDXs exhibited heterogeneous mechanisms of resistance, including known and novel AR mutations, genomic structural rearrangements of the AR gene, and a neuroendocrine-like AR-null phenotype. Despite their heterogeneity, all models were sensitive to the combination of ribosome-targeting agents CX-5461 and CX-6258.
conclusionsThis study demonstrates that ribosome-targeting drugs may be effective against diverse CRPC subtypes including AR-null disease, and highlights the potential of contemporary patient-derived models to prioritise treatment strategies for clinical translation. PATIENT SUMMARY: Diverse types of therapy-resistant prostate cancers are sensitive to a new combination of drugs that inhibit protein synthesis pathways in cancer cells.
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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.