Iżycka-Świeszewska Ewa, Gulczyński Jacek, Sejda Aleksandra, Kitlińska Joanna, Galli Susana, Rogowski Wojciech, Sigorski Dawid
Department of Pathology and Neuropathology, Medical University of Gdansk, 80-210 Gdansk, Poland.
Department of Pathomorphology, Copernicus Hospital, 80-803 Gdansk, Poland.
Biomedicines. 2024 Oct 14;12(10):2335. doi: 10.3390/biomedicines12102335.
This short review and pictorial essay presents a morphological insight into cancer neuroscience, which is a complex and dynamic area of the pathobiology of tumors.
We discuss the different methods and issues connected with structural research on tumor innervation, interactions between neoplastic cells and the nervous system, and dysregulated neural influence on cancer phenotypes.
Perineural invasion (PNI), the most-visible cancer-nerve relation, is briefly presented, focusing on its pathophysiology and structural diversity as well as its clinical significance. The morphological approach to cancer neurobiology further includes the analysis of neural density/axonogenesis, neural network topographic distribution, and composition of fiber types and size. Next, the diverse range of neurotransmitters and neuropeptides and the neuroendocrine differentiation of cancer cells are reviewed. Another morphological area of cancer neuroscience is spatial or quantitative neural-related marker expression analysis through different detection, description, and visualization methods, also on experimental animal or cellular models.
Morphological studies with systematic methodologies provide a necessary insight into the structure and function of the multifaceted tumor neural microenvironment and in context of possible new therapeutic neural-based oncological solutions.
本简短综述及图文文章对癌症神经科学进行了形态学剖析,癌症神经科学是肿瘤病理生物学中一个复杂且动态的领域。
我们讨论了与肿瘤神经支配结构研究、肿瘤细胞与神经系统之间的相互作用以及神经对癌症表型的失调影响相关的不同方法和问题。
简要介绍了神经周围浸润(PNI),这是最明显的癌症与神经的关系,重点关注其病理生理学、结构多样性及其临床意义。癌症神经生物学的形态学方法还包括对神经密度/轴突生成、神经网络拓扑分布以及纤维类型和大小组成的分析。接下来,综述了多种神经递质和神经肽以及癌细胞的神经内分泌分化。癌症神经科学的另一个形态学领域是通过不同的检测、描述和可视化方法,在实验动物或细胞模型上对与神经相关的标记物进行空间或定量表达分析。
采用系统方法进行的形态学研究为多方面肿瘤神经微环境的结构和功能以及可能基于神经的新肿瘤治疗解决方案提供了必要的见解。