COL6A1 Inhibits the Malignant Development of Bladder Cancer by Regulating FBN1.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Biochemistry and Biophysics Pub Date : 2024-10-04 DOI:10.1007/s12013-024-01573-6
Tineng Yang, Xiaoyang Peng, Xi Huang, Peng Cao, Hualei Chen
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Abstract

Bladder cancer (BLCA) is a prevalent malignancy worldwide with a high recurrence rate. Collagen Type VI Alpha 1 (COL6A1) plays a key role in several cancer types. In this study, we aimed to explore the role of COL6A1 in BLCA. COL6A1 expression in BLCA was determined using The Cancer Genome Atlas database and real-time quantitative polymerase chain reaction (RT-qPCR). Counting Kit-8, wound-healing, and transwell assays were used to assess the effect of COL6A1 on T24 and 5637 cells. Apoptosis in BLCA cell lines was explored using western blotting and flow cytometry. Co-immunoprecipitation was performed to determine interactions between proteins. The role of COL6A1 in tumor growth in nude mice was evaluated by hematoxylin-eosin, immunohistochemical, and terminal deoxynucleotidyl transferase dUTP Nick-End Labeling. In BLCA, COL6A1 expression was downregulated. Moreover, the COL6A1 overexpression suppressed the viability, migration, and invasion, while promoting apoptosis of BLCA cell lines, with increased Caspase-3, Bax, and p53, and decreased Bcl-2. Conversely, silencing of COL6A1 promoted proliferation, migration, and invasion, while inhibiting apoptosis in BLCA cell lines. In vivo, COL6A1 inhibits tumor growth and progression. Fibrillin-1 (FBN1) was positively correlated with COL6A1 expression. COL6A1 could bind to FBN1 in BLCA cell lines. The expression of FBN1 in BLCA cell lines decreased after COL6A1 silencing, whereas COL6A1 overexpression upregulated FBN1 expression. COL6A1 was downregulated and exerted an inhibitory effect on the development of BLCA, and its expression was positively correlated with the expression of FBN1.

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COL6A1 通过调节 FBN1 抑制膀胱癌的恶性发展
膀胱癌(BLCA)是全球流行的恶性肿瘤,复发率很高。六型胶原α1(COL6A1)在几种癌症类型中起着关键作用。本研究旨在探讨 COL6A1 在膀胱癌中的作用。我们利用癌症基因组图谱数据库和实时定量聚合酶链反应(RT-qPCR)测定了 COL6A1 在 BLCA 中的表达。使用计数 Kit-8、伤口愈合和透孔试验评估 COL6A1 对 T24 和 5637 细胞的影响。使用 Western 印迹法和流式细胞术检测了 BLCA 细胞系的凋亡情况。通过共免疫沉淀来确定蛋白质之间的相互作用。通过苏木精-伊红、免疫组化和末端脱氧核苷酸转移酶 dUTP 镍末端标记评估了 COL6A1 在裸鼠肿瘤生长中的作用。在 BLCA 中,COL6A1 表达下调。此外,COL6A1的过表达抑制了BLCA细胞株的活力、迁移和侵袭,同时促进了细胞凋亡,Caspase-3、Bax和p53增加,Bcl-2减少。相反,沉默 COL6A1 会促进 BLCA 细胞株的增殖、迁移和侵袭,同时抑制细胞凋亡。在体内,COL6A1 可抑制肿瘤的生长和恶化。纤连蛋白-1(FBN1)与 COL6A1 的表达呈正相关。在 BLCA 细胞系中,COL6A1 可与 FBN1 结合。沉默 COL6A1 后,BLCA 细胞系中 FBN1 的表达量减少,而 COL6A1 的过表达会上调 FBN1 的表达量。COL6A1被下调并对BLCA的发展产生抑制作用,其表达与FBN1的表达呈正相关。
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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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