MiR-16-5p suppresses breast cancer proliferation by targeting ANLN

Abstract Background In recent years, gene expression-based analysis has been used for disease biomarker discovery, providing ways for better diagnosis, leading to improvement of clinical treatment efficacy. This study aimed to explore the role of miR-16-5p and ANLN in breast cancer (BC). Methods Coh...

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Main Authors: Ziming Wang, Siyuan Hu, Xinyang Li, Zhiwei Liu, Danyang Han, Yukun Wang, Limin Wei, Guangping Zhang, Xinshuai Wang
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-021-08914-1
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author Ziming Wang
Siyuan Hu
Xinyang Li
Zhiwei Liu
Danyang Han
Yukun Wang
Limin Wei
Guangping Zhang
Xinshuai Wang
author_facet Ziming Wang
Siyuan Hu
Xinyang Li
Zhiwei Liu
Danyang Han
Yukun Wang
Limin Wei
Guangping Zhang
Xinshuai Wang
author_sort Ziming Wang
collection DOAJ
description Abstract Background In recent years, gene expression-based analysis has been used for disease biomarker discovery, providing ways for better diagnosis, leading to improvement of clinical treatment efficacy. This study aimed to explore the role of miR-16-5p and ANLN in breast cancer (BC). Methods Cohort datasets of BC were obtained from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) and analyzed by bioinformatics tools. qRT-PCR and western blotting were applied to validate ANLN and its protein expression. A dual-luciferase reporter assay was used to prove the regulatory relationship of miR-16-5p and ANLN. Finally, MTT, wound healing, Transwell invasion and flow cytometry analyses of the cell cycle and apoptosis were performed to assess cell proliferation, migration, invasion, cell cycle and apoptosis, respectively. Results A total of 195 differentially expressed genes (DEGs) and 50 overlapping microRNAs (miRNAs) were identified. Among these DEGs and miRNAs, ANLN, associated with poor overall survival in BC, overlapped in the GSE29431, GSE42568, TCGA and GEPIA2 databases. Moreover, ANLN was highly expressed, while miR-16-5p was lower in BC cells than in breast epithelial cells. Then, we confirmed that ANLN was directly targeted by miR-16-5p in BC cells. Over-expression of miR-16-5p and knock-down of ANLN remarkably inhibited cell proliferation and migration as well as cell invasion, arrested the cells in G2/M phase and induced apoptosis in BC cells. Conclusions These findings suggest that miR-16-5p restrains proliferation, migration and invasion while affecting cell cycle and promotes apoptosis by regulating ANLN, thereby providing novel candidate biomarkers for the diagnosis and treatment of BC.
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spelling doaj.art-0208350eaf2f41979c3f171f9a6928a82022-12-21T19:55:42ZengBMCBMC Cancer1471-24072021-11-0121111210.1186/s12885-021-08914-1MiR-16-5p suppresses breast cancer proliferation by targeting ANLNZiming Wang0Siyuan Hu1Xinyang Li2Zhiwei Liu3Danyang Han4Yukun Wang5Limin Wei6Guangping Zhang7Xinshuai Wang8Henan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyZhoukou first people’s HospitalHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyHenan Key Laboratory of Cancer Epigenetics; Cancer hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and TechnologyAbstract Background In recent years, gene expression-based analysis has been used for disease biomarker discovery, providing ways for better diagnosis, leading to improvement of clinical treatment efficacy. This study aimed to explore the role of miR-16-5p and ANLN in breast cancer (BC). Methods Cohort datasets of BC were obtained from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) and analyzed by bioinformatics tools. qRT-PCR and western blotting were applied to validate ANLN and its protein expression. A dual-luciferase reporter assay was used to prove the regulatory relationship of miR-16-5p and ANLN. Finally, MTT, wound healing, Transwell invasion and flow cytometry analyses of the cell cycle and apoptosis were performed to assess cell proliferation, migration, invasion, cell cycle and apoptosis, respectively. Results A total of 195 differentially expressed genes (DEGs) and 50 overlapping microRNAs (miRNAs) were identified. Among these DEGs and miRNAs, ANLN, associated with poor overall survival in BC, overlapped in the GSE29431, GSE42568, TCGA and GEPIA2 databases. Moreover, ANLN was highly expressed, while miR-16-5p was lower in BC cells than in breast epithelial cells. Then, we confirmed that ANLN was directly targeted by miR-16-5p in BC cells. Over-expression of miR-16-5p and knock-down of ANLN remarkably inhibited cell proliferation and migration as well as cell invasion, arrested the cells in G2/M phase and induced apoptosis in BC cells. Conclusions These findings suggest that miR-16-5p restrains proliferation, migration and invasion while affecting cell cycle and promotes apoptosis by regulating ANLN, thereby providing novel candidate biomarkers for the diagnosis and treatment of BC.https://doi.org/10.1186/s12885-021-08914-1Breast cancerBioinformaticsANLNmiR-16-5pProliferation
spellingShingle Ziming Wang
Siyuan Hu
Xinyang Li
Zhiwei Liu
Danyang Han
Yukun Wang
Limin Wei
Guangping Zhang
Xinshuai Wang
MiR-16-5p suppresses breast cancer proliferation by targeting ANLN
BMC Cancer
Breast cancer
Bioinformatics
ANLN
miR-16-5p
Proliferation
title MiR-16-5p suppresses breast cancer proliferation by targeting ANLN
title_full MiR-16-5p suppresses breast cancer proliferation by targeting ANLN
title_fullStr MiR-16-5p suppresses breast cancer proliferation by targeting ANLN
title_full_unstemmed MiR-16-5p suppresses breast cancer proliferation by targeting ANLN
title_short MiR-16-5p suppresses breast cancer proliferation by targeting ANLN
title_sort mir 16 5p suppresses breast cancer proliferation by targeting anln
topic Breast cancer
Bioinformatics
ANLN
miR-16-5p
Proliferation
url https://doi.org/10.1186/s12885-021-08914-1
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