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Status |
Public on Apr 08, 2016 |
Title |
The microRNAs with potential in predicting lung metastasis of triple negative breast cancer |
Organism |
Homo sapiens |
Experiment type |
Non-coding RNA profiling by array
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Summary |
To identify lung metastasis associated microRNAs in triple negative breast cancer (TNBC), we have employed the commercially available Agilent Human miRNA V19.0 Microarray (Platform GPL19730) as a discovery platform. In comparison with LM-Normal, 11 microRNAs significantly altered in both LM-Met and LM-Tumor, and then three of them (hsa-miR-21-3p, hsa-miR-21-5p and hsa-miR-211-3p) were excluded, which were also up-regulated in RF-Tumor. Consequently, eight deregulated microRNAs were identified to be putatively involved in process of lung metastasis, especially miR-629-3p, which was most up-regulated in both LM-Met and LM-Tumor. To validate the microarray data, we utilized qRT-PCR to assess expression levels of the eight miRNAs in the same samples.
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Overall design |
Four TNBC patients with lung metastasis underwent pulmonary lobectomy, and their matched surgical specimens of lung metastases (LM-Met), primary tumors (LM-Tumor) and normal breast tissues (LM-Normal) were obtained. Furthermore, to preclude the unspecific miRNAs in TNBC, primary tumors (RF-Tumor) and corresponding normal breast tissues (RF-Normal) from another four patients with 10-year recurrence-free survival were also collected. The initial 20 samples from the eight patients were prepared for miRNA profiling. Paired-Sample T Test and Significant Analysis of Microarray (SAM) were used to identify miRNAs with significantly altered expression (fold change > 1.5, p < 0.05). In comparison with Normal, the miRNAs significantly altered in both LM-Met and LM-Tumor, but not in RF-Tumor, was considered as predictive markers for lung metastasis of TNBC.
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Contributor(s) |
Wang J, Xie X |
Citation(s) |
28629464 |
Submission date |
Apr 07, 2016 |
Last update date |
Sep 25, 2019 |
Contact name |
Jin Wang |
E-mail(s) |
wangjin1@sysucc.org.cn
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Phone |
+86-20-87343850
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Organization name |
Sun Yat-sen University Cancer Center
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Department |
Department of Breast Oncology
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Street address |
No.651 Dongfeng East Road
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City |
Guangzhou |
ZIP/Postal code |
510060 |
Country |
China |
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Platforms (1) |
GPL18044 |
Agilent-046064 Unrestricted_Human_miRNA_V19.0_Microarray (Feature Number version) |
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Samples (20)
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Relations |
BioProject |
PRJNA317671 |