Abstract | BACKGROUND: METHODS: 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. RESULTS: 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 < 0.05. In particular, MMP11 and HPSE2 were closely examined due to the important roles they play in cancer cell growth and migration. Real-time RT-qPCR analyses of both training and testing sets validated the gene expression profiles of MMP11 and HPSE2. CONCLUSIONS:
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Authors | Junjie Fu, Ravil Khaybullin, Yanping Zhang, Amy Xia, Xin Qi |
Journal | BMC cancer
(BMC Cancer)
Vol. 15
Pg. 473
(Jun 18 2015)
ISSN: 1471-2407 [Electronic] England |
PMID | 26084486
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
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Chemical References |
- Biomarkers, Tumor
- heparanase
- Glucuronidase
- Matrix Metalloproteinase 11
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Topics |
- Biomarkers, Tumor
- Breast Neoplasms
(genetics, pathology)
- Cluster Analysis
- Computational Biology
- Databases, Nucleic Acid
- Female
- Gene Expression Profiling
- Glucuronidase
(genetics)
- Humans
- Matrix Metalloproteinase 11
(genetics)
- Reproducibility of Results
- Transcriptome
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