Cargando…
Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics
BACKGROUND: MiR-101-3p can promote apoptosis and inhibit proliferation, invasion, and metastasis in breast cancer (BC) cells. However, its mechanisms in BC are not fully understood. Therefore, a comprehensive analysis of the target genes, pathways, and networks of miR-101-3p in BC is necessary. MATE...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404822/ https://www.ncbi.nlm.nih.gov/pubmed/28416776 http://dx.doi.org/10.12659/MSM.900030 |
_version_ | 1783231655051264000 |
---|---|
author | Li, Chun-yao Xiong, Dan-dan Huang, Chun-qin He, Rong-quan Liang, Hai-wei Pan, Deng-hua Wang, Han-lin Wang, Yi-wen Zhu, Hua-wei Chen, Gang |
author_facet | Li, Chun-yao Xiong, Dan-dan Huang, Chun-qin He, Rong-quan Liang, Hai-wei Pan, Deng-hua Wang, Han-lin Wang, Yi-wen Zhu, Hua-wei Chen, Gang |
author_sort | Li, Chun-yao |
collection | PubMed |
description | BACKGROUND: MiR-101-3p can promote apoptosis and inhibit proliferation, invasion, and metastasis in breast cancer (BC) cells. However, its mechanisms in BC are not fully understood. Therefore, a comprehensive analysis of the target genes, pathways, and networks of miR-101-3p in BC is necessary. MATERIAL/METHODS: The miR-101 profiles for 781 patients with BC from The Cancer Genome Atlas (TCGA) were analyzed. Gene expression profiling of GSE31397 with miR-101-3p transfected MCF-7 cells and scramble control cells was downloaded from Gene Expression Omnibus (GEO), and the differentially expressed genes (DEGs) were identified. The potential genes targeted by miR-101-3p were also predicted. Gene Ontology (GO) and pathway and network analyses were constructed for the DEGs and predicted genes. RESULTS: In the TCGA data, a low level of miR-101-2 expression might represent a diagnostic (AUC: 0.63) marker, and the miR-101-1 was a prognostic (HR=1.79) marker. MiR-101-1 was linked to the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), and miR-101-2 was associated with the tumor (T), lymph node (N), and metastasis (M) stages of BC. Moreover, 427 genes were selected from the 921 DEGs in GEO and the 7924 potential target genes from the prediction databases. These genes were related to transcription, metabolism, biosynthesis, and proliferation. The results were also significantly enriched in the VEGF, mTOR, focal adhesion, Wnt, and chemokine signaling pathways. CONCLUSIONS: MiR-101-1 and miR-101-2 may be prospective biomarkers for the prognosis and diagnosis of BC, respectively, and are associated with diverse clinical parameters. The target genes of miR-101-3p regulate the development and progression of BC. These results provide insight into the pathogenic mechanism and potential therapies for BC. |
format | Online Article Text |
id | pubmed-5404822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54048222017-05-04 Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics Li, Chun-yao Xiong, Dan-dan Huang, Chun-qin He, Rong-quan Liang, Hai-wei Pan, Deng-hua Wang, Han-lin Wang, Yi-wen Zhu, Hua-wei Chen, Gang Med Sci Monit Lab/In Vitro Research BACKGROUND: MiR-101-3p can promote apoptosis and inhibit proliferation, invasion, and metastasis in breast cancer (BC) cells. However, its mechanisms in BC are not fully understood. Therefore, a comprehensive analysis of the target genes, pathways, and networks of miR-101-3p in BC is necessary. MATERIAL/METHODS: The miR-101 profiles for 781 patients with BC from The Cancer Genome Atlas (TCGA) were analyzed. Gene expression profiling of GSE31397 with miR-101-3p transfected MCF-7 cells and scramble control cells was downloaded from Gene Expression Omnibus (GEO), and the differentially expressed genes (DEGs) were identified. The potential genes targeted by miR-101-3p were also predicted. Gene Ontology (GO) and pathway and network analyses were constructed for the DEGs and predicted genes. RESULTS: In the TCGA data, a low level of miR-101-2 expression might represent a diagnostic (AUC: 0.63) marker, and the miR-101-1 was a prognostic (HR=1.79) marker. MiR-101-1 was linked to the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), and miR-101-2 was associated with the tumor (T), lymph node (N), and metastasis (M) stages of BC. Moreover, 427 genes were selected from the 921 DEGs in GEO and the 7924 potential target genes from the prediction databases. These genes were related to transcription, metabolism, biosynthesis, and proliferation. The results were also significantly enriched in the VEGF, mTOR, focal adhesion, Wnt, and chemokine signaling pathways. CONCLUSIONS: MiR-101-1 and miR-101-2 may be prospective biomarkers for the prognosis and diagnosis of BC, respectively, and are associated with diverse clinical parameters. The target genes of miR-101-3p regulate the development and progression of BC. These results provide insight into the pathogenic mechanism and potential therapies for BC. International Scientific Literature, Inc. 2017-04-18 /pmc/articles/PMC5404822/ /pubmed/28416776 http://dx.doi.org/10.12659/MSM.900030 Text en © Med Sci Monit, 2017 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Lab/In Vitro Research Li, Chun-yao Xiong, Dan-dan Huang, Chun-qin He, Rong-quan Liang, Hai-wei Pan, Deng-hua Wang, Han-lin Wang, Yi-wen Zhu, Hua-wei Chen, Gang Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics |
title | Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics |
title_full | Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics |
title_fullStr | Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics |
title_full_unstemmed | Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics |
title_short | Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics |
title_sort | clinical value of mir-101-3p and biological analysis of its prospective targets in breast cancer: a study based on the cancer genome atlas (tcga) and bioinformatics |
topic | Lab/In Vitro Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404822/ https://www.ncbi.nlm.nih.gov/pubmed/28416776 http://dx.doi.org/10.12659/MSM.900030 |
work_keys_str_mv | AT lichunyao clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT xiongdandan clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT huangchunqin clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT herongquan clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT lianghaiwei clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT pandenghua clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT wanghanlin clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT wangyiwen clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT zhuhuawei clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics AT chengang clinicalvalueofmir1013pandbiologicalanalysisofitsprospectivetargetsinbreastcancerastudybasedonthecancergenomeatlastcgaandbioinformatics |