卵巢癌中内质网应激反应途径介导的细胞死亡

IF 3.5 3区 医学 Q2 ONCOLOGY
Qiaochu Chen, Chan Li, Wei Wei, Jia Li, Fangyuan Liu, Yuqian Fu, Liping Tang, Fengjuan Han
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引用次数: 0

摘要

内质网(ER)是最大的细胞器之一,内质网应激反应途径(Endoplasmic Reticulum Stress Response Pathway)是由内质网的平衡失调以及未折叠或折叠错误的蛋白质在内质网中积聚的状态引发的一系列反应,可诱发细胞死亡。细胞死亡在妇科肿瘤等疾病的发生发展中起着至关重要的作用。在此,我们回顾了目前有关该反应和卵巢癌的研究,讨论了关键传感器(IRE1、PERK、ATF6)以及发生该反应的条件(Ca2+稳态破坏、缺氧等)。以该反应为起点,全面概述其与四种细胞死亡类型(细胞凋亡、自噬、免疫性细胞死亡、凋亡)的关系,试图为卵巢癌治疗中的细胞器-内质网应激反应途径-细胞死亡提供新的靶向治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endoplasmic reticulum stress response pathway-mediated cell death in ovarian cancer
The endoplasmic reticulum (ER) is one of the largest organelles, and Endoplasmic Reticulum Stress Response Pathway is a series of responses triggered by the homeostatic imbalance of the ER and the state in which unfolded or misfolded proteins accumulate in the ER, which can trigger cell death. Cell death plays a crucial role in the development of diseases such as gynecological oncology. Herein, we review the current research on the response and ovarian cancer, discussing the key sensors (IRE1, PERK, ATF6), and the conditions under which it occurs (Ca2+ homeostasis disruption, hypoxia, others). Using the response as a starting point, provide a comprehensive overview of the relationship with the four types of cell death (apoptosis, autophagy, immunogenic cell death, paraptosis) in an attempt to provide new targeted therapeutic strategies for the organelle-Endoplasmic Reticulum Stress Response Pathway-cell death in ovarian cancer therapy.
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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