Advancing Veterinary Oncology: Next-Generation Diagnostics for Early Cancer Detection and Clinical Implementation.

IF 2.7 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animals Pub Date : 2025-01-30 DOI:10.3390/ani15030389
Aya Hasan Alshammari, Takuya Oshiro, Umbhorn Ungkulpasvich, Junichi Yamaguchi, Masayo Morishita, Sura Abbas Khdair, Hideyuki Hatakeyama, Takaaki Hirotsu, Eric di Luccio
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Abstract

Cancer is a leading cause of death among companion animals, with many cases diagnosed at advanced stages when clinical signs have appeared, and prognosis is poor. Emerging diagnostic technologies, including Artificial Intelligence (AI)-enhanced imaging, liquid biopsies, molecular diagnostics, and nematode-based screening, can improve early detection capabilities in veterinary medicine. These tools offer non-invasive or minimally invasive methods to facilitate earlier detection and treatment planning, addressing the limitations of traditional diagnostics, such as radiography and tissue biopsies. Recent advancements in comparative oncology, which leverage the biological similarities between human and companion animal cancers, underscore their translational value in improving outcomes across species. Technological advances in genomics, bioinformatics, and machine learning are driving a shift toward precision medicine, enabling earlier detection, personalized treatments, and monitoring of disease progression. Liquid biopsy testing detects circulating tumor DNA and tumor cells, providing actionable insights into tumor genetics without invasive procedures. Imaging systems enhance diagnostic precision, offering consistent and accurate tumor identification across veterinary practices, while portable innovations like Caenorhabditis elegans-based screening provide accessible options for underserved regions. As these technologies migrate from human medicine to veterinary applications, they are poised to redefine cancer care for companion animals. This review highlights key advancements in diagnostic technologies and their application in veterinary oncology, with a focus on enhancing early detection, accessibility, and precision in cancer care. By fostering the adoption of these innovations, veterinary oncology can achieve a new standard of care, improving outcomes for both animals and humans through the lens of comparative oncology.

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推进兽医肿瘤学:用于早期癌症检测和临床实施的下一代诊断。
癌症是伴侣动物死亡的主要原因,许多病例在出现临床症状的晚期才被诊断出来,预后很差。新兴诊断技术,包括人工智能(AI)增强成像、液体活检、分子诊断和基于线虫的筛查,可以提高兽医的早期检测能力。这些工具提供非侵入性或微创性方法,以促进早期检测和治疗计划,解决传统诊断的局限性,如放射照相和组织活检。比较肿瘤学的最新进展利用了人类和伴侣动物癌症之间的生物学相似性,强调了它们在改善跨物种结果方面的转化价值。基因组学、生物信息学和机器学习的技术进步正在推动向精准医学的转变,使早期检测、个性化治疗和疾病进展监测成为可能。液体活检检测循环肿瘤DNA和肿瘤细胞,提供可行的见解肿瘤遗传学没有侵入性的程序。成像系统提高了诊断精度,在兽医实践中提供一致和准确的肿瘤识别,而基于秀丽隐杆线虫的筛查等便携式创新为服务不足的地区提供了可获得的选择。随着这些技术从人类医学转移到兽医应用,它们准备重新定义伴侣动物的癌症治疗。本文综述了诊断技术及其在兽医肿瘤学中的应用的主要进展,重点是提高癌症治疗的早期发现、可及性和准确性。通过促进这些创新的采用,兽医肿瘤学可以达到一个新的护理标准,通过比较肿瘤学的镜头改善动物和人类的结果。
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来源期刊
Animals
Animals Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
4.90
自引率
16.70%
发文量
3015
审稿时长
20.52 days
期刊介绍: Animals (ISSN 2076-2615) is an international and interdisciplinary scholarly open access journal. It publishes original research articles, reviews, communications, and short notes that are relevant to any field of study that involves animals, including zoology, ethnozoology, animal science, animal ethics and animal welfare. However, preference will be given to those articles that provide an understanding of animals within a larger context (i.e., the animals'' interactions with the outside world, including humans). There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental details and/or method of study, must be provided for research articles. Articles submitted that involve subjecting animals to unnecessary pain or suffering will not be accepted, and all articles must be submitted with the necessary ethical approval (please refer to the Ethical Guidelines for more information).
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