斑马鱼
模式生物
乳腺癌
计算生物学
生物
动物模型
生物信息学
癌症
计算机科学
数据科学
医学
内科学
遗传学
基因
作者
Sharad S. Singhal,Rachana Garg,Atish Mohanty,Pankaj Garg,Sravani Ramisetty,Tamara Mirzapoiazova,Raffaella Soldi,Sunil Sharma,Prakash Kulkarni,Ravi Salgia
出处
期刊:Cancers
[MDPI AG]
日期:2023-05-29
卷期号:15 (11): 2961-2961
被引量:9
标识
DOI:10.3390/cancers15112961
摘要
Animal models have been utilized for decades to investigate the causes of human diseases and provide platforms for testing novel therapies. Indeed, breakthrough advances in genetically engineered mouse (GEM) models and xenograft transplantation technologies have dramatically benefited in elucidating the mechanisms underlying the pathogenesis of multiple diseases, including cancer. The currently available GEM models have been employed to assess specific genetic changes that underlay many features of carcinogenesis, including variations in tumor cell proliferation, apoptosis, invasion, metastasis, angiogenesis, and drug resistance. In addition, mice models render it easier to locate tumor biomarkers for the recognition, prognosis, and surveillance of cancer progression and recurrence. Furthermore, the patient-derived xenograft (PDX) model, which involves the direct surgical transfer of fresh human tumor samples to immunodeficient mice, has contributed significantly to advancing the field of drug discovery and therapeutics. Here, we provide a synopsis of mouse and zebrafish models used in cancer research as well as an interdisciplinary 'Team Medicine' approach that has not only accelerated our understanding of varied aspects of carcinogenesis but has also been instrumental in developing novel therapeutic strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI