Evidence map›Paper›PMID 41598266›Full record

ReviewLife (Basel, Switzerland)2026

In Vivo Prostate Cancer Modelling: From the Pre-Clinical to the Clinical Setting.

Elisabete Nascimento-Gonçalves, Tiago Azevedo, Catarina Medeiros, Ana I Faustino-Rocha

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Elisabete Nascimento-GonçalvesCentre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.ORCID 0000-0001-6430-1513
Tiago AzevedoCentre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.ORCID 0000-0002-3030-4510
Catarina MedeirosCentre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.ORCID 0009-0005-2706-7023
Ana I Faustino-RochaCentre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.ORCID 0000-0001-5572-6317

Funding

Fundação para a Ciência e Tecnologia This work is supported by National Funds by FCT -Portuguese Foundation for Science and Technology, under the projects UID/04033/2025: Centre for the Research and Technology of Agro-Environmental and Biological Sciences (https://doi.org/10.54499/UID/04033/
6 · The paper itself

Abstract

Prostate cancer (PCa) remains one of the most prevalent malignancies in men and a leading cause of cancer-related mortality worldwide. Over the last century, PCa modelling has evolved from basic cell-based to more complex systems. Despite this, the clinical translation of research findings is limited by the constraints of current preclinical models. In this review, rat and zebrafish models are highlighted due to their long-standing and emerging translational relevance, respectively. Rat models have played a pivotal role in understanding carcinogenesis and supporting the preclinical evaluation of drugs currently approved for clinical use, such as antiandrogens and androgen-deprivation agents. In parallel, zebrafish models are increasingly recognized as powerful complementary tools for studying tumor biology, metastasis, and drug response, offering unique advantages for high-throughput and personalized medicine approaches. We summarize historical milestones, current advances, and translational perspectives, emphasizing how combining multiple model systems can bridge the gap between molecular research and clinical application. Collectively, the development and refinement of these models represent essential steps toward more predictive and ethically responsible PCa research.

Indexed as

carcinogenesisdrug developmentpreclinical researchprostateratzebrafish

Identifiers

PMID41598266
PMCPMC12843150

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.