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pmid:28416776

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.

Chun-Yao Li · Dan-Dan Xiong · Chun-Qin Huang · Rong-Quan He · Hai-Wei Liang · Deng-Hua Pan · Han-Lin Wang · Yi-Wen Wang · Hua-Wei Zhu · Gang Chen

Medical science monitor : international medical journal of experimental and clinical research · 2017 doi:10.12659/msm.900030

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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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.
doi
10.12659/msm.900030
pmid
28416776
authors array · 10 items
[0]
Chun-Yao Li
[1]
Dan-Dan Xiong
[2]
Chun-Qin Huang
[3]
Rong-Quan He
[4]
Hai-Wei Liang
[5]
Deng-Hua Pan
[6]
Han-Lin Wang
[7]
Yi-Wen Wang
[8]
Hua-Wei Zhu
[9]
Gang Chen
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2017
abstract
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 AND 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.
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Survival data were determined with the Kaplan-Meier method.
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Survival data were determined with the Kaplan-Meier method.
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MiR-101 (miR-101-1 and miR-101-2) sequence data of BC were obtained from the TCGA dataset on 15 May 2016; the dataset included 781 patients with BC and 87 adjacent noncancerous breast tissues. In BC, the expression levels of log2-transformed miR-101-1 and miR-101-2 were analyzed, as was their correlation with survival data and clinical parameters.
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MiR-101 (miR-101-1 and miR-101-2) sequence data of BC were obtained from the TCGA dataset on 15 May 2016; the dataset included 781 patients with BC and 87 adjacent noncancerous breast tissues. In BC, the expression levels of log2-transformed miR-101-1 and miR-101-2 were analyzed, as was their correlation with survival data and clinical parameters.
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MiR-101 (miR-101-1 and miR-101-2) sequence data of BC were obtained from the TCGA dataset on 15 May 2016; the dataset included 781 patients with BC and 87 adjacent noncancerous breast tissues. In BC, the expression levels of log2-transformed miR-101-1 and miR-101-2 were analyzed, as was their correlation with survival data and clinical parameters.
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MiR-101 (miR-101-1 and miR-101-2) sequence data of BC were obtained from the TCGA dataset on 15 May 2016; the dataset included 781 patients with BC and 87 adjacent noncancerous breast tissues. In BC, the expression levels of log2-transformed miR-101-1 and miR-101-2 were analyzed, as was their correlation with survival data and clinical parameters.
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MiR-101 (miR-101-1 and miR-101-2) sequence data of BC were obtained from the TCGA dataset on 15 May 2016; the dataset included 781 patients with BC and 87 adjacent noncancerous breast tissues. In BC, the expression levels of log2-transformed miR-101-1 and miR-101-2 were analyzed, as was their correlation with survival data and clinical parameters.
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BACKGROUND MiR-101-3p can promote apoptosis and inhibit proliferation, invasion, and met
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Complete file
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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 AND 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. 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