Glycosylation triggers Cathepsin D maturation and secretion to promote gastric cancer development.

IF 4.7 2区 医学 Q1 PATHOLOGY
Liling Niu, Xunzhu Zhou, Deman Li, Yongye Zheng, Hui Li
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引用次数: 0

Abstract

Cathepsin D (CTSD) is a lysosomal aspartic protease with high expression in cancers. CTSD localized in different subcellular regions performs distinct roles. However, the precise regulation of its intracellular trafficking and extracellular secretion remains incompletely understood. In this study, it was demonstrated that glycosylation modifications of CTSD determine its maturation and secretion in gastric cancer (GC) cells. Specifically, glycosylation at asparagine 134 (N134) dictated the intracellular trafficking and maturation of CTSD within lysosomes, through facilitating its sorting into COPII vesicles. Glycosylation at asparagine 263 (N263) was essential for the secretion of pro-CTSD, via a novel pathway dependent on the small GTPase Rab3D. Notably, the extracellular release of pro-CTSD occurred more rapidly than its intracellular trafficking from the endoplasmic reticulum (ER) to lysosomes. This enhanced secretion speed may rapidly elevate the levels of pro-CTSD in the tumor microenvironment, in response to extracellular stimuli. Ultimately, glycosylation at N134 and N263 regulated the autophagy and cell proliferation respectively. These findings demonstrate the role of glycosylation in triggering the maturation and secretion of CTSD in GC cells. Through modulating its cellular trafficking, differential glycosylation modifications of CTSD defined the malignant behavior of GC cells.

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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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