整合神经科学和肿瘤学:消化系统肿瘤发生和发展中的神经免疫串扰

IF 33.9 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Haonan Sun, Tao Wang, Xiangyan Jiang, Mingdou Li, Xiaoe He, Yong Ma, Xiangkai Li, Weilin Jin, Zuoyi Jiao
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引用次数: 0

摘要

最近的全球数据显示,消化系统癌症造成的死亡约占全球所有癌症相关死亡的三分之一,这突出表明迫切需要创新的治疗策略。在这种背景下,神经科学的新发现可能为解决这一紧迫的临床问题揭示新的途径。在过去的几年里,癌症神经科学的快速发展越来越强调神经系统对消化道肿瘤的发展和进展的贡献。研究表明,胃肠道的特化神经网络建立了与消化道肿瘤相互作用的框架。在此解剖学基础上,我们的综述深入探讨了这些相互作用的功能意义,强调了疾病进展过程中神经系统和肿瘤细胞之间的双向调节途径,并强调了它们与免疫微环境的复杂串扰。特别是,它绘制了中枢和外周神经系统(PNS)调节肿瘤发生和进展的分子途径。此外,它还解释了神经递质和神经内分泌介质如何通过激活典型的致癌信号级联和重塑免疫抑制微环境来驱动肿瘤扩张。本文旨在阐明神经-免疫-肿瘤串扰的分子基础,并综合最新的神经靶向治疗方法。它还审查了阻碍这些干预措施临床实施的主要障碍。通过提出一个综合的概述,这项工作可以作为一个强大的资源,为未来的神经生物学机制研究和胃肠道恶性肿瘤新疗法的发展提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating neuroscience and oncology: neuroimmune crosstalk in the initiation and progression of digestive system tumors
Recent global data show that cancers of the digestive system are responsible for approximately one-third of all cancer-related deaths worldwide, underscoring the urgent need for innovative therapeutic strategies. In this context, emerging findings from neuroscience may unveil new avenues for tackling this pressing clinical problem. Over the past few years, rapid progress in cancer neuroscience has increasingly underscored the contribution of the nervous system to the development and progression of digestive tract tumors. Research has shown that the specialized neural network of the gastrointestinal tract establishes a framework for reciprocal interactions with digestive tract tumors. On this anatomical foundation, our review delves into the functional significance of these interactions, emphasizing the bidirectional regulatory pathways between the nervous system and tumor cells during disease progression and highlighting their intricate crosstalk with the immune microenvironment. In particular, it maps the molecular pathways by which both the central and peripheral nervous systems (PNS) modulate tumor initiation and progression. Moreover, it explains how neurotransmitters and neuroendocrine mediators drive tumor expansion through the activation of canonical oncogenic signaling cascades and the remodeling of the immunosuppressive microenvironment. This review seeks to elucidate the molecular underpinnings of neuro-immune-tumor crosstalk and to synthesize the latest neural-targeted therapeutic approaches. It also examines the principal obstacles that are impeding the clinical implementation of these interventions. By presenting an integrated overview, this work serves as a robust resource to inform future studies on neurobiological mechanisms and the development of novel therapies for gastrointestinal malignancies.
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来源期刊
Molecular Cancer
Molecular Cancer 医学-生化与分子生物学
CiteScore
54.90
自引率
2.70%
发文量
224
审稿时长
2 months
期刊介绍: Molecular Cancer is a platform that encourages the exchange of ideas and discoveries in the field of cancer research, particularly focusing on the molecular aspects. Our goal is to facilitate discussions and provide insights into various areas of cancer and related biomedical science. We welcome articles from basic, translational, and clinical research that contribute to the advancement of understanding, prevention, diagnosis, and treatment of cancer. The scope of topics covered in Molecular Cancer is diverse and inclusive. These include, but are not limited to, cell and tumor biology, angiogenesis, utilizing animal models, understanding metastasis, exploring cancer antigens and the immune response, investigating cellular signaling and molecular biology, examining epidemiology, genetic and molecular profiling of cancer, identifying molecular targets, studying cancer stem cells, exploring DNA damage and repair mechanisms, analyzing cell cycle regulation, investigating apoptosis, exploring molecular virology, and evaluating vaccine and antibody-based cancer therapies. Molecular Cancer serves as an important platform for sharing exciting discoveries in cancer-related research. It offers an unparalleled opportunity to communicate information to both specialists and the general public. The online presence of Molecular Cancer enables immediate publication of accepted articles and facilitates the presentation of large datasets and supplementary information. This ensures that new research is efficiently and rapidly disseminated to the scientific community.
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