ArticleThe Prostate2024
Reproducible preclinical models of androgen receptor driven human prostate cancer bone metastasis.
Article in The Prostate, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Integrative molecular analyses of lineage identity and morphology in aggressive variant prostate cancer.NPJ precision oncology · 2026Article
- Biomimetic bone niche reconstructs proliferation-inhibited and therapy-resistant bone-metastatic prostate cancer.Bioactive materials · 2026Article
- Molecular decoupling of lineage identity and morphology in aggressive variant prostate cancer.medRxiv : the preprint server for health sciences · 2026Article
- Direct Co-Targeting of Bcl-xL and Mcl-1 Exhibits Synergistic Effects in AR-V7-Expressing CRPC Models.Cancer research communications · 2025Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
backgroundPreclinical models recapitulating the metastatic phenotypes are essential for developing the next-generation therapies for metastatic prostate cancer (mPC). We aimed to establish a cohort of clinically relevant mPC models, particularly androgen receptor positive (AR
methodsPDX tumors were dissociated into single cells, modified to express luciferase, and were inoculated into NSG mice via intracardiac injection. The progression of metastases was monitored by bioluminescent imaging. Histological phenotypes of metastases were characterized by immunohistochemistry and immunofluorescence staining. Castration responses were further investigated in two AR-positive models.
resultsOur PDX-derived metastasis (PDM) model collection comprises three AR
conclusionGenetically diverse PDM models provide a clinically relevant system for biomarker identification and personalized medicine in metastatic castration-resistant prostate cancer.
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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.