乳腺癌模型:从过去到未来的概述。

IF 1.8 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL In vivo Pub Date : 2025-01-01 DOI:10.21873/invivo.13800
Jessica Silva, Paula A Oliveira, José Alberto Duarte, Ana I Faustino-Rocha
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引用次数: 0

摘要

乳腺癌研究在很大程度上依赖于不同的模型系统来理解疾病进展,开发新的诊断方法,并评估新的治疗策略。这篇综述提供了一个全面的概述乳腺癌模型,包括体外和体内的方法。我们深入研究已建立的技术,如细胞培养和探索尖端的进步,如肿瘤芯片和生物打印。体内部分包括自发,诱导和移植模型,基因工程模型,鸡绒毛膜尿囊膜测定,以及新兴领域的硅模型。此外,本文简要介绍了使用这些模型所取得的重要发现,这些发现大大提高了我们对乳腺癌的认识。从本质上讲,这篇文章作为一个全面的指南针,描绘了乳腺癌建模从早期开始到未来充满希望的前景的轨迹。
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Mammary Cancer Models: An Overview from the Past to the Future.

Breast cancer research heavily relies on diverse model systems to comprehend disease progression, develop novel diagnostics, and evaluate new therapeutic strategies. This review offers a comprehensive overview of mammary cancer models, covering both ex vivo and in vivo approaches. We delve into established techniques, such as cell culture and explore cutting-edge advancements, like tumor-on-a-chip and bioprinting. The in vivo section encompasses spontaneous, induced, and transplanted models, genetically engineered models, chick chorioallantoic membrane assays, and the burgeoning field of in silico models. Additionally, this article briefly highlights the key discoveries made using these models, significantly enhancing our understanding of breast cancer. In essence, this article serves as a comprehensive compass, charting the trajectory of mammary cancer modeling from its early beginnings to the promising vistas of tomorrow.

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来源期刊
In vivo
In vivo 医学-医学:研究与实验
CiteScore
4.20
自引率
4.30%
发文量
330
审稿时长
3-8 weeks
期刊介绍: IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management. The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.
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