Recent animal models of bladder cancer and their application in drug discovery: an update of the literature.

IF 4.9 2区 医学 Q1 PHARMACOLOGY & PHARMACY Expert Opinion on Drug Discovery Pub Date : 2025-02-17 DOI:10.1080/17460441.2025.2465373
Inês Aires, Belmiro Parada, Rita Ferreira, Paula A Oliveira
{"title":"Recent animal models of bladder cancer and their application in drug discovery: an update of the literature.","authors":"Inês Aires, Belmiro Parada, Rita Ferreira, Paula A Oliveira","doi":"10.1080/17460441.2025.2465373","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Bladder cancer presents a significant health problem worldwide, with environmental and genetic factors contributing to its incidence. Histologically, it can be classified as carcinoma in situ, non-muscle invasive and muscle-invasive carcinoma, each one with distinct genetic alterations impacting prognosis and response to therapy. While traditional transurethral resection is commonly performed in carcinoma in situ and non-muscle invasive carcinoma, it often fails to prevent recurrence or progression to more aggressive phenotypes, leading to the frequent need for additional treatment such as intravesical chemotherapy or immunotherapy. Despite the advances made in recent years, treatment options for bladder cancer are still lacking due to the complex nature of this disease. So, animal models may hold potential for addressing these limitations, because they not only allow the study of disease progression but also the evaluation of therapies and the investigation of drug repositioning.</p><p><strong>Areas covered: </strong>This review discusses the use of animal models over the past decade, highlighting key discoveries and discussing advantages and disadvantages for new drug discovery.</p><p><strong>Expert opinion: </strong>Over the past decade animal models have been employed to evaluate new mechanisms underlying the responses to standard therapies, aiming to optimize bladder cancer treatment. The authors propose that molecular engineering techniques and AI may hold promise for the future development of more precise and effective targeted therapies in bladder cancer.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"1-21"},"PeriodicalIF":4.9000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Opinion on Drug Discovery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17460441.2025.2465373","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Bladder cancer presents a significant health problem worldwide, with environmental and genetic factors contributing to its incidence. Histologically, it can be classified as carcinoma in situ, non-muscle invasive and muscle-invasive carcinoma, each one with distinct genetic alterations impacting prognosis and response to therapy. While traditional transurethral resection is commonly performed in carcinoma in situ and non-muscle invasive carcinoma, it often fails to prevent recurrence or progression to more aggressive phenotypes, leading to the frequent need for additional treatment such as intravesical chemotherapy or immunotherapy. Despite the advances made in recent years, treatment options for bladder cancer are still lacking due to the complex nature of this disease. So, animal models may hold potential for addressing these limitations, because they not only allow the study of disease progression but also the evaluation of therapies and the investigation of drug repositioning.

Areas covered: This review discusses the use of animal models over the past decade, highlighting key discoveries and discussing advantages and disadvantages for new drug discovery.

Expert opinion: Over the past decade animal models have been employed to evaluate new mechanisms underlying the responses to standard therapies, aiming to optimize bladder cancer treatment. The authors propose that molecular engineering techniques and AI may hold promise for the future development of more precise and effective targeted therapies in bladder cancer.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
膀胱癌动物模型及其在药物发现中的应用:文献更新。
导言:膀胱癌是一个全球性的重大健康问题,环境和遗传因素是其发病的重要因素。组织学上可分为原位癌、非肌肉浸润性癌和肌肉浸润性癌,每一种癌都有不同的基因改变影响预后和对治疗的反应。虽然传统的经尿道切除术通常用于原位癌和非肌肉浸润性癌,但它往往不能防止复发或进展为更具侵袭性的表型,导致经常需要额外的治疗,如膀胱内化疗或免疫治疗。尽管近年来取得了进展,但由于膀胱癌的复杂性,治疗方案仍然缺乏。因此,动物模型可能具有解决这些局限性的潜力,因为它们不仅可以研究疾病进展,还可以评估治疗方法和研究药物重新定位。涵盖领域:本综述讨论了过去十年动物模型的使用,突出了关键发现,并讨论了新药发现的优点和缺点。专家意见:在过去的十年中,动物模型被用来评估标准治疗反应的新机制,旨在优化膀胱癌治疗。作者提出,分子工程技术和人工智能可能为未来发展更精确、更有效的膀胱癌靶向治疗带来希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
期刊最新文献
An introduction to GitHub and its significance for AI-driven drug discovery. The integration of AI in fragment-based lead discovery and medicinal chemistry - an interview with professor György M Keserű. Advancing AI-driven drug discovery: an interview with Professor Alan Talevi. Deep generative molecular design and its value in modern drug discovery. Realising the full potential of biocides in the fight against antimicrobial resistance.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1