ReviewCancers2020
Cellular and Molecular Progression of Prostate Cancer: Models for Basic and Preclinical Research.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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.
Who cites it
30 citing papers in PubMed.
- Exploration of novel hydroxamic acid-based candidates integrating chalcone scaffold cap as multitarget HDAC inhibitors: design, anti-prostatic cancer assessment,Journal of enzyme inhibition and medicinal chemistry · 2026Article
- Morphomechanically-Informed Spatial Curvature Sequencing in Prostate Cancer.bioRxiv : the preprint server for biology · 2026Article
- Advances in 3D culture systems for maintaining prostate tissue architecture and functional ex vivo prostate organ culture for biomedical applications.Molecular biology reports · 2026Review
- Synthesis, Molecular Modeling and Assessment of Anticancer Activity of New Potential CYP17A1 Inhibitors.Molecules (Basel, Switzerland) · 2026Article
- Araticum (Annona crassiflora) seed extract as a chemopreventive agent against prostate cancer: activation of extrinsic and intrinsic apoptotic pathways in a preclinical model.Journal of molecular histology · 2026Article
- In vitro cytotoxicity of medicinal plants used in prostate cancer management in Africa: a systematic review.Tropical medicine and health · 2026Review
- In Vivo Prostate Cancer Modelling: From the Pre-Clinical to the Clinical Setting.Life (Basel, Switzerland) · 2026Review
- Polydopamine-Coated Surfaces Promote Adhesion, Migration, Proliferation, Chemoresistance, Stemness, and Epithelial-Mesenchymal Transition of Human Prostate Cancer Cell Lines In Vitro via Integrin αInternational journal of molecular sciences · 2026Article
- FOXI3 promotes migration and proliferation in prostate cancer bone metastases, modulated by FGF8.Frontiers in oncology · 2026Article
- Synergistic Efficacy of Gedatolisib and Darolutamide in Prostate Cancer to Overcome Resistance to Androgen-Targeted Therapy.International journal of molecular sciences · 2025Article
- YM155 Inhibition of Survivin Enhances Carboplatin Efficacy in Metastatic Castration-Resistant Prostate Cancer.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Vitacrystallography: Appearance and Development of Cancer-Induced Structural Biomarkers in a Mouse Model.Life (Basel, Switzerland) · 2025Article
- Inorganic Arsenic Induces Elevated p53 Levels with Altered Functionality Impacting the Expression of Toll-like Receptor 3 and Other Target Genes in Immortalized Prostate Epithelial Cells.International journal of molecular sciences · 2025Article
- Experimental models for developing oncolytic virotherapy for metastatic prostate cancer.Frontiers in immunology · 2025Review
- Article
- In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs.Cancer cell international · 2023Article
- Characterisation of cell lines derived from prostate cancer patients with localised disease.Prostate cancer and prostatic diseases · 2023Article
- An In Vitro Evaluation and Network Pharmacology Analysis of Prospective Anti-Prostate Cancer Activity fromPlants (Basel, Switzerland) · 2023Article
- Identification of Promising Drug Candidates against Prostate Cancer through Computationally-Driven Drug Repurposing.International journal of molecular sciences · 2023Article
- SWI/SNF chromatin remodelers in prostate cancer progression.Frontiers in epigenetics and epigenomics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
We have witnessed noteworthy progress in our understanding of prostate cancer over the past decades. This basic knowledge has been translated into efficient diagnostic and treatment approaches leading to the improvement in patient survival. However, the molecular pathogenesis of prostate cancer appears to be complex, and histological findings often do not provide an accurate assessment of disease aggressiveness and future course. Moreover, we also witness tremendous racial disparity in prostate cancer incidence and clinical outcomes necessitating a deeper understanding of molecular and mechanistic bases of prostate cancer. Biological research heavily relies on model systems that can be easily manipulated and tested under a controlled experimental environment. Over the years, several cancer cell lines have been developed representing diverse molecular subtypes of prostate cancer. In addition, several animal models have been developed to demonstrate the etiological molecular basis of the prostate cancer. In recent years, patient-derived xenograft and 3-D culture models have also been created and utilized in preclinical research. This review is an attempt to succinctly discuss existing information on the cellular and molecular progression of prostate cancer. We also discuss available model systems and their tested and potential utility in basic and preclinical prostate cancer research.
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What OpenQuestion holds
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 OpenQuestion graph.