Ryosuke Sato, Markus S Anker, Jochen Springer, Stephan von Haehling
{"title":"New models for cancer cachexia and their application to drug discovery.","authors":"Ryosuke Sato, Markus S Anker, Jochen Springer, Stephan von Haehling","doi":"10.1080/17460441.2025.2562020","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Cancer cachexia (CC) is a multifactorial syndrome characterized by progressive weight loss, anorexia, and loss of skeletal muscle and fat mass, resulting in reduced quality of life and poor prognosis. Currently, there are no approved pharmacological treatments for CC, highlighting the urgent need for developing novel experimental models.</p><p><strong>Area covered: </strong>This review covers recent advancements in preclinical models of CC, highlighting their implications for drug discovery and therapeutic development. The literature search was conducted in PubMed up to April 2025.</p><p><strong>Expert opinion: </strong>CC remains clinically challenging and requires improved translational research and therapeutic strategies. Improved preclinical models, such as personalized patient-derived xenograft models incorporating patient-specific immune profiles and microbiota, hold promise for precision medicine. Identification of standardized extracellular vesicle (EV) derived biomarkers and effective targeting of EV signaling pathways are critical research directions. In addition, clinical validation of appetite regulators such as glucagon-like peptide-1 and growth differentiation factor-15, along with comprehensive approaches integrating diet, exercise, and targeted pharmacological interventions, will be pivotal. Finally, multidisciplinary collaboration is essential to translate these findings into meaningful therapies that will ultimately improve patient prognosis and quality of life.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"1-13"},"PeriodicalIF":4.9000,"publicationDate":"2025-10-03","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/10.1080/17460441.2025.2562020","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: Cancer cachexia (CC) is a multifactorial syndrome characterized by progressive weight loss, anorexia, and loss of skeletal muscle and fat mass, resulting in reduced quality of life and poor prognosis. Currently, there are no approved pharmacological treatments for CC, highlighting the urgent need for developing novel experimental models.
Area covered: This review covers recent advancements in preclinical models of CC, highlighting their implications for drug discovery and therapeutic development. The literature search was conducted in PubMed up to April 2025.
Expert opinion: CC remains clinically challenging and requires improved translational research and therapeutic strategies. Improved preclinical models, such as personalized patient-derived xenograft models incorporating patient-specific immune profiles and microbiota, hold promise for precision medicine. Identification of standardized extracellular vesicle (EV) derived biomarkers and effective targeting of EV signaling pathways are critical research directions. In addition, clinical validation of appetite regulators such as glucagon-like peptide-1 and growth differentiation factor-15, along with comprehensive approaches integrating diet, exercise, and targeted pharmacological interventions, will be pivotal. Finally, multidisciplinary collaboration is essential to translate these findings into meaningful therapies that will ultimately improve patient prognosis and quality of life.
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.