NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE80038 Query DataSets for GSE80038
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
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.
 
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.
 
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
Phone +86-20-87343850
Organization name Sun Yat-sen University Cancer Center
Department Department of Breast Oncology
Street address No.651 Dongfeng East Road
City Guangzhou
ZIP/Postal code 510060
Country China
 
Platforms (1)
GPL18044 Agilent-046064 Unrestricted_Human_miRNA_V19.0_Microarray (Feature Number version)
Samples (20)
GSM2111485 Normal_LM_case1
GSM2111486 Normal_LM_case2
GSM2111487 Normal_LM_case3
Relations
BioProject PRJNA317671

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE80038_RAW.tar 175.4 Mb (http)(custom) TAR (of TXT)
GSE80038_quantile.txt.gz 48.1 Kb (ftp)(http) TXT
Processed data included within Sample table
Processed data provided as supplementary file
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap