HIF-3α通过下调TP53INP2抑制自噬促进胰腺癌细胞增殖和迁移

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Cell Biochemistry and Biophysics Pub Date : 2025-06-01 Epub Date: 2024-11-30 DOI:10.1007/s12013-024-01624-y
Xianfei Zhou, Yisheng Ling, Luoshun Huang, Fan Yang, Yang Zhang, Yong Lan
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引用次数: 0

摘要

胰腺癌是一种侵袭性很强的恶性肿瘤,通常诊断较晚,预后差,死亡率极高。近年来,细胞自噬在肿瘤中的作用日益突出,逐渐成为恶性肿瘤的重要靶点。HIF-3α是HIF家族的一员,具有潜在的致癌功能。然而,HIF-3α在胰腺癌中的作用尚不清楚。本研究通过探索HIF-3α对自噬的调控机制,揭示其在胰腺癌中的作用。HIF-3α在胰腺癌细胞系中表达明显上调。在HIF-3α沉默的MiaPaCa-2细胞中,迁移距离大幅下降,侵袭细胞和菌落数量减少,自噬体数量增加,p62下调,Beclin1、LC3II/I和ATG7上调,TP53INP2表达升高。而在HIF-3α过表达的PANC-1细胞中,迁移距离明显增加,侵袭细胞和集落数量增加,自噬体减少,p62上调,Beclin1、LC3II/I、ATG7、TP53INP2下调。随后,用过表达TP53INP2的载体转染HIF-3α过表达的PANC-1细胞。HIF-3α过表达对细胞增殖、迁移、侵袭和自噬的影响被TP53INP2过表达消除。此外,HIF-3α过表达促进了PANC-1细胞的体内生长,并伴有肿瘤组织的自噬抑制,而过表达TP53INP2可显著消除这种抑制。总之,HIF-3α通过下调TP53INP2抑制自噬,促进胰腺癌细胞的增殖和迁移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HIF-3α Facilitates the Proliferation and Migration in Pancreatic Cancer by Inhibiting Autophagy Through Downregulating TP53INP2.

Pancreatic cancer is a highly aggressive malignant tumor, often diagnosed late, leading to a poor prognosis and extremely high mortality rates. In recent years, the role of cellular autophagy in tumors has become increasingly prominent, gradually becoming an important target for malignant tumors. HIF-3α is a member of HIF family with potential oncogenic function. However, the role of HIF-3α in pancreatic cancer is not clear. The present study revealed its role in pancreatic cancer by exploring the regulatory mechanism of HIF-3α on autophagy. HIF-3α was found markedly upregulated in pancreatic cancer cell lines. In HIF-3α silenced MiaPaCa-2 cells, largely declined migration distance, reduced number of invaded cells and colonies, increased number of autophagosome, downregulated p62, and upregulated Beclin1, LC3II/I, and ATG7 were observed, accompanied by elevated TP53INP2 expressions. on the contrary, in HIF-3α overexpressed PANC-1 cells, notably increased migration distance, and elevated number of invaded cells and colonies were observed, along with decreased autophagosome, upregulated p62, and downregulated Beclin1, LC3II/I, ATG7, and TP53INP2. Subsequently, HIF-3α overexpressed PANC-1 cells were transfected with TP53INP2 overexpressing vector. The influence of HIF-3α overexpression on the proliferation, migration, invasion, and autophagy was abolished by TP53INP2 overexpressing. Furthermore, HIF-3α overexpression facilitated the in vivo growth of PANC-1 cells, accompanied by the autophagy inhibition in tumor tissues, which were remarkably abolished by TP53INP2 overexpressing. Collectively, HIF-3α facilitated the proliferation and migration in pancreatic cancer by inhibiting autophagy through downregulating TP53INP2.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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