胆管癌发生过程中的细胞死亡和存活机制

IF 4.7 2区 医学 Q1 PATHOLOGY American Journal of Pathology Pub Date : 2024-08-03 DOI:10.1016/j.ajpath.2024.06.014
Luana D'Artista, Marco Seehawer
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引用次数: 0

摘要

胆管癌(CAA)和其他肝癌亚型通常发生在受损器官中。生理因素或毒素等外在因素会诱导此类组织的细胞死亡,从而引发代偿性增殖和炎症。细胞凋亡、坏死、铁细胞凋亡或自噬等不同机制的触发取决于细胞外和细胞内因素。每种机制都能在细胞内或通过调节微环境导致促癌或抗癌事件。然而,每种细胞死亡机制在 CCA 发病、进展和治疗中的确切作用尚不十分清楚。在此,我们总结了目前在 CCA 患者和 CCA 临床前研究中对不同细胞死亡机制的了解。我们将讨论与 CCA 治疗相关的细胞死亡相关药物,以及未来如何利用这些药物改善 CCA 靶向治疗。
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Cell Death and Survival Mechanisms in Cholangiocarcinogenesis.

Cholangiocarcinoma (CCA) and other liver cancer subtypes often develop in damaged organs. Physiological agents or extrinsic factors, like toxins, can induce cell death in such tissues, triggering compensatory proliferation and inflammation. Depending on extracellular and intracellular factors, different mechanisms, like apoptosis, necroptosis, ferroptosis, or autophagy, can be triggered. Each of them can lead to protumorigenic or anti-tumorigenic events within a cell or through regulation of the microenvironment. However, the exact role of each cell death mechanism in CCA onset, progression, and treatment is not well known. Here, we summarize current knowledge of different cell death mechanisms in patients with CCA and preclinical CCA research. We discuss cell death-related drugs with relevance to CCA treatment and how they could be used in the future to improve targeted CCA therapy.

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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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