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乳腺癌中新型环状RNA-微小RNA-信使RNA调控网络的鉴定及其预后预测

Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer.

作者信息

Huang Rui, Yu Hao, Zhong Xiao

机构信息

Department of Oncology, People's Hospital of Jiangxi Province, Nanchang, China.

Organization Department, Jiangxi Health Vocational College, Nanchang, China.

出版信息

Evid Based Complement Alternat Med. 2021 Oct 29;2021:2916398. doi: 10.1155/2021/2916398. eCollection 2021.

DOI:10.1155/2021/2916398
PMID:34745276
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8570857/
Abstract

AIM

This study aimed to investigate the expression profiles of circRNAs and candidate circRNA-miRNA-mRNA network in BC.

METHODS

Differentially expressed circRNAs, miRNAs, and mRNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) between BC and normal breast tissue samples were screened by analyzing raw data of the RNA sequencing profile. The expression levels of hub genes in 48 pairs of cancerous and tumor-free breast tissues surgically resected from BC patients were determined by RT-qPCR analysis.

RESULTS

A total of 145 DEcircRNAs, 140 DEmiRNAs, and 2451 DEmRNAs between BC and normal breast tissue samples were screened out. There were 5 pairs of upcircRNA-downmiRNA-upmRNA network and 20 pairs of downcircRNA-upmiRNA-downmRNA network. EIF4EBP1, DUSP1, EGR2, EZH1, and CBX7 were found to be correlated with overall survival of the patients with BC. The expression level of EIF4EBP1 was increased and the expression levels of DUSP1, EGR2, EZH1, and CBX7 were decreased in cancerous breast tissues compared to tumor-free breast tissues ( < 0.0001). The RT-qPCR results from 48 BC patients were consistent with the bioinformatics results.

CONCLUSION

This study provides a novel perspective to study circRNA-miRNA-mRNA network in BC and assists in the identification of new potential biomarkers to be used for diagnostic and prognostic purposes.

摘要

目的

本研究旨在调查环状RNA（circRNAs）的表达谱以及乳腺癌（BC）中候选的circRNA- miRNA- mRNA网络。

方法

通过分析RNA测序图谱的原始数据，筛选出BC组织和正常乳腺组织样本之间差异表达的circRNAs、miRNAs和mRNAs（差异表达的circRNAs、差异表达的miRNAs和差异表达的mRNAs）。通过逆转录-定量聚合酶链反应（RT-qPCR）分析，测定从BC患者手术切除的48对癌组织和癌旁组织中关键基因的表达水平。

结果

在BC组织和正常乳腺组织样本之间共筛选出145个差异表达的circRNAs、140个差异表达的miRNAs和2451个差异表达的mRNAs。存在5对上调circRNA-下调miRNA-上调mRNA网络和20对下调circRNA-上调miRNA-下调mRNA网络。发现真核翻译起始因子4E结合蛋白1（EIF4EBP1）、双特异性磷酸酶1（DUSP1）、早期生长反应蛋白2（EGR2）、EZH1蛋白（EZH1）和染色体X失活特异转录本结合蛋白7（CBX7）与BC患者的总生存期相关。与癌旁乳腺组织相比，癌组织中EIF4EBP1的表达水平升高，而DUSP1、EGR2、EZH1和CBX7的表达水平降低（<0.0001）。48例BC患者的RT-qPCR结果与生物信息学结果一致。

结论

本研究为研究BC中的circRNA- miRNA- mRNA网络提供了新的视角，并有助于鉴定用于诊断和预后目的的新的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/155ad5e89ada/ECAM2021-2916398.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/a62c4d6c25cd/ECAM2021-2916398.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/6a5ada07a6e3/ECAM2021-2916398.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/85d5f09b044e/ECAM2021-2916398.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/7f5575d9abdd/ECAM2021-2916398.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/cd4afb007a75/ECAM2021-2916398.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/aadd2c289bfd/ECAM2021-2916398.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/65461573b331/ECAM2021-2916398.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/155ad5e89ada/ECAM2021-2916398.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/a62c4d6c25cd/ECAM2021-2916398.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/6a5ada07a6e3/ECAM2021-2916398.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/85d5f09b044e/ECAM2021-2916398.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/7f5575d9abdd/ECAM2021-2916398.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/cd4afb007a75/ECAM2021-2916398.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/aadd2c289bfd/ECAM2021-2916398.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/65461573b331/ECAM2021-2916398.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f3/8570857/155ad5e89ada/ECAM2021-2916398.008.jpg

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