Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China.
Department of Pathology, Fudan University Eye Ear Nose and Throat Hospital, Shanghai 201114, China.
Cancer Biol Med. 2020 Nov 15;17(4):953-969. doi: 10.20892/j.issn.2095-3941.2019.0427. Epub 2020 Dec 15.
Pancreatic ductal adenocarcinoma (PDAC) is a disease with high mortality. Many so-called "junk" noncoding RNAs need to be discovered in PDAC. The purpose of this study was therefore to investigate the function and regulatory mechanism of the long noncoding RNA MEG3 in PDAC.
The Gene Expression Omnibus database (GEO database) was used to determine the differential expression of long noncoding RNAs in PDAC, and MEG3 was selected for subsequent verification. Tissue and cell samples were used to verify MEG3 expression, followed by functional detection and . Microarrays were used to characterize long noncoding RNA and mRNA expression profiles. Competing endogenous RNA analyses were used to detect differential MEG3 and relational miRNA expression in PDAC. Finally, promoter analyses were conducted to explain the downregulation of MEG3 PDAC.
We generated a catalogue of PDAC-associated long noncoding RNAs in the GEO database. The ectopic expression of MEG3 inhibited PDAC growth and metastasis and , which was statistically significant ( < 0.05). Microarray analysis showed that multiple microRNAs interacted with MEG3. We also showed that MEG3, as a competing endogenous RNA, directly sponged miR-374a-5p to regulate PTEN expression. The transcription factor, Sp1, recruited EZH2 and HDAC3 to the promoter and transcriptionally repressed MEG3 expression. Finally, clinical data showed that MEG3 and miR-374a-5p expressions were correlated with clinicopathological features. Statistically, Sp1, EZH2, HDAC3, and miR-374a-5p were negatively correlated with MEG3 ( < 0.05).
Reduced MEG3 levels played a crucial role in the PDAC malignant phenotype, which provided insight into novel and effective molecular targets of MEG3 for pancreatic cancer treatment.
胰腺导管腺癌(PDAC)是一种死亡率很高的疾病。在 PDAC 中需要发现许多所谓的“垃圾”非编码 RNA。因此,本研究旨在研究长非编码 RNA MEG3 在 PDAC 中的功能和调节机制。
使用基因表达综合数据库(GEO 数据库)确定 PDAC 中长非编码 RNA 的差异表达,选择 MEG3 进行后续验证。使用组织和细胞样本验证 MEG3 表达,然后进行功能检测。使用微阵列对长非编码 RNA 和 mRNA 表达谱进行特征分析。竞争性内源性 RNA 分析用于检测 PDAC 中差异表达的 MEG3 和相关 miRNA。最后,进行启动子分析以解释 MEG3 在 PDAC 中的下调。
我们在 GEO 数据库中生成了与 PDAC 相关的长非编码 RNA 目录。MEG3 的异位表达抑制了 PDAC 的生长和转移,这具有统计学意义(<0.05)。微阵列分析表明,多种 microRNAs 与 MEG3 相互作用。我们还表明,MEG3 作为竞争性内源性 RNA,直接吸附 miR-374a-5p 来调节 PTEN 表达。转录因子 Sp1 将 EZH2 和 HDAC3 募集到启动子并转录抑制 MEG3 表达。最后,临床数据表明 MEG3 和 miR-374a-5p 的表达与临床病理特征相关。统计学上,Sp1、EZH2、HDAC3 和 miR-374a-5p 与 MEG3 呈负相关(<0.05)。
MEG3 水平的降低在 PDAC 恶性表型中起着关键作用,这为胰腺癌细胞治疗提供了新的、有效的 MEG3 分子靶点。