Gene expression profiling leads to discovery of correlation of matrix metalloproteinase 11 and heparanase 2 in breast cancer progression

In order to identify biomarkers involved in breast cancer, gene expression profiling was conducted using human breast cancer tissues. Total RNAs were extracted from 150 clinical patient tissues covering three breast cancer subtypes (Luminal A, Luminal B, and Triple negative) as well as normal tissue...

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Bibliographic Details
Published in:BMC cancer 2015-06, Vol.15 (1), p.473-473, Article 473
Main Authors: Fu, Junjie, Khaybullin, Ravil, Zhang, Yanping, Xia, Amy, Qi, Xin
Format: Article
Language:English
Subjects:
Analysis
Biomarkers, Tumor
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Cancer
Care and treatment
Cluster Analysis
Computational Biology
Databases, Nucleic Acid
Development and progression
Female
Gene expression
Gene Expression Profiling
Genetic aspects
Glucuronidase - genetics
Humans
Instrument industry
Matrix Metalloproteinase 11 - genetics
Reproducibility of Results
Transcriptome
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Summary:In order to identify biomarkers involved in breast cancer, gene expression profiling was conducted using human breast cancer tissues. Total RNAs were extracted from 150 clinical patient tissues covering three breast cancer subtypes (Luminal A, Luminal B, and Triple negative) as well as normal tissues. The expression profiles of a total of 50,739 genes were established from a training set of 32 samples using the Agilent Sure Print G3 Human Gene Expression Microarray technology. Data were analyzed using Agilent Gene Spring GX 12.6 software. The expression of several genes was validated using real-time RT-qPCR. Data analysis with Agilent GeneSpring GX 12.6 software showed distinct expression patterns between cancer and normal tissue samples. A group of 28 promising genes were identified with ≥ 10-fold changes of expression level and p-values 
ISSN:1471-2407
1471-2407
DOI:10.1186/s12885-015-1410-y