Identification and validation of the TRHDE-AS1/hsa-miR-449a/ADAMTS5 axis as a novel prognostic biomarker in prostate cancer

IF 5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
BioFactors Pub Date : 2024-05-31 DOI:10.1002/biof.2083
Xin Lian, Honglan Zhou, Si Liu
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引用次数: 0

Abstract

Despite advancements in cancer research, the prognostic implications of competing endogenous RNA (ceRNA) networks in prostate cancer (PCa) remain incompletely understood. This study aimed to elucidate the prognostic relevance of ceRNA networks in PCa, utilizing a comprehensive bioinformatics approach alongside experimental validation. After searching The Cancer Genome Atlas (TCGA) database, RNA sequencing (RNA-Seq) data were extracted to identify differentially expressed RNAs (DERs) between 491 PCa samples and 51 normal prostate tissues, following which a comprehensive bioinformatics strategy was implemented to construct a ceRNA network. An optimal prognostic signature comprising these DERs was then established and validated using TCGA data. In addition, functional validation was performed through RNA pull-down, dual-luciferase reporter assays, quantitative real-time PCR, and western blot analysis conducted in PC-3 and DU145 cell lines, thereby complementing the bioinformatics analysis. A total of 613 DERs, comprising 103 long noncoding RNAs (lncRNAs), 60 microRNAs (miRNAs), and 450 messenger RNAs (mRNAs), were identified and utilized in constructing a ceRNA network, which encompassed 23 lncRNAs, 9 miRNAs, and 52 mRNAs. An optimal prognostic signature was established, including VPS9D1 antisense RNA 1 (VPS9D1-AS1), miR-449a, cyclin-dependent kinase 5 regulatory subunit 1 (CDK5R1), targeting protein for Xklp2 (TPX2), solute carrier family 7 member 11 (SLC7A11), copine7 (CPNE7), and maternal embryonic leucine zipper kinase (MELK), yielding area under the curve (AUC) values exceeding 0.8 across training, validation, and entire datasets. Our experiments results revealed an interaction between lncRNA TRHDE antisense RNA 1 (TRHDE-AS1) and miR-449a and that miR-449a could target the ADAM metallopeptidase with thrombospondin type 1 motif 5 (ADAMTS5) mRNA. Knockdown of miR-449a significantly impeded cell proliferation, G1/S transition, migration and invasion, and promoted apoptosis in PC-3 and DU145 cells. Furthermore, knockdown of miR-449a notably downregulated protein expression of CDK4, cyclin D1, N-cadherin and vimentin, while upregulating protein expression of cleaved caspase-3 and E-cadherin. This study contributes to a deeper understanding of the prognostic-linked ceRNA network in PCa, providing fundamental insights that could improve diagnostic and therapeutic approaches for PCa management.

Abstract Image

Abstract Image

将 TRHDE-AS1/hsa-miR-449a/ADAMTS5 轴识别和验证为前列腺癌的新型预后生物标记物。
尽管癌症研究取得了进展,但人们对前列腺癌(PCa)中竞争性内源性 RNA(ceRNA)网络的预后影响仍不甚了解。本研究旨在利用全面的生物信息学方法和实验验证,阐明ceRNA网络在PCa中的预后相关性。在搜索癌症基因组图谱(TCGA)数据库后,研究人员提取了RNA测序(RNA-Seq)数据,以确定491个PCa样本和51个正常前列腺组织之间的差异表达RNA(DER),随后采用综合生物信息学策略构建了ceRNA网络。随后,利用 TCGA 数据建立并验证了由这些 DERs 组成的最佳预后特征。此外,还通过在PC-3和DU145细胞系中进行的RNA拉取、双荧光素酶报告实验、定量实时PCR和Western印迹分析进行了功能验证,从而补充了生物信息学分析。共鉴定出613个DER,包括103个长非编码RNA(lncRNA)、60个microRNA(miRNA)和450个信使RNA(mRNA),并利用这些DER构建了ceRNA网络,其中包括23个lncRNA、9个miRNA和52个mRNA。建立的最佳预后特征包括 VPS9D1 反义 RNA 1 (VPS9D1-AS1)、miR-449a、细胞周期蛋白依赖性激酶 5 调节亚基 1 (CDK5R1)、Xklp2 靶向蛋白 (TPX2)、在训练、验证和整个分析过程中,miR-449a、细胞周期依赖性激酶 5 调节亚基 1(CDK5R1)、Xklp2 靶蛋白(TPX2)、溶质运载家族 7 成员 11(SLC7A11)、copine7(CPNE7)和母体胚胎亮氨酸拉链激酶(MELK)的曲线下面积(AUC)值均超过 0.8 。我们的实验结果表明,lncRNA TRHDE反义RNA 1(TRHDE-AS1)与miR-449a之间存在相互作用,而且miR-449a可以靶向具有血栓疏松素1型基序5的ADAM金属肽酶(ADAMTS5)mRNA。敲除 miR-449a 能显著抑制 PC-3 和 DU145 细胞的增殖、G1/S 转变、迁移和侵袭,并促进细胞凋亡。此外,敲除 miR-449a 会明显下调 CDK4、细胞周期蛋白 D1、N-钙粘蛋白和波形蛋白的蛋白表达,同时上调裂解的 Caspase-3 和 E-钙粘蛋白的蛋白表达。这项研究有助于深入了解与PCa预后相关的ceRNA网络,为改进PCa管理的诊断和治疗方法提供了基本见解。
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来源期刊
BioFactors
BioFactors 生物-内分泌学与代谢
CiteScore
11.50
自引率
3.30%
发文量
96
审稿时长
6-12 weeks
期刊介绍: BioFactors, a journal of the International Union of Biochemistry and Molecular Biology, is devoted to the rapid publication of highly significant original research articles and reviews in experimental biology in health and disease. The word “biofactors” refers to the many compounds that regulate biological functions. Biological factors comprise many molecules produced or modified by living organisms, and present in many essential systems like the blood, the nervous or immunological systems. A non-exhaustive list of biological factors includes neurotransmitters, cytokines, chemokines, hormones, coagulation factors, transcription factors, signaling molecules, receptor ligands and many more. In the group of biofactors we can accommodate several classical molecules not synthetized in the body such as vitamins, micronutrients or essential trace elements. In keeping with this unified view of biochemistry, BioFactors publishes research dealing with the identification of new substances and the elucidation of their functions at the biophysical, biochemical, cellular and human level as well as studies revealing novel functions of already known biofactors. The journal encourages the submission of studies that use biochemistry, biophysics, cell and molecular biology and/or cell signaling approaches.
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