Gene expression profiling leads to discovery of correlation of matrix metalloproteinase 11 and heparanase 2 in breast cancer progression.
Background: In order to identify biomarkers involved in breast cancer, gene expression profiling was conducted using human breast cancer tissues.Methods: Total RNAs were extracted from 150 clinical patient tissues covering three breast cancer subtypes (Luminal A, Luminal B, and Triple negative) as w...
| Publicado en: | BMC Cancer Vol. 15; no. 1; pp. 473 - 474 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109584807&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109584807 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712407 1CH9 jtl: BMC Cancer issn: 14712407 maglogo: N pubinfo: dt: 2015 vid: 15 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 109584807 109584807 NLM26084486 2013060816 10.1186/s12885-015-1410-y NLM26084486 PMC4477316 109584807 ppf: 473 ppct: 1 formats: tig: atl: Gene expression profiling leads to discovery of correlation of matrix metalloproteinase 11 and heparanase 2 in breast cancer progression. aug: au: Fu, Junjie Khaybullin, Ravil Zhang, Yanping Xia, Amy Qi, Xin sug: ab: Background: In order to identify biomarkers involved in breast cancer, gene expression profiling was conducted using human breast cancer tissues.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: Our findings identified these 2 genes as a novel breast cancer biomarker gene set, which may facilitate the diagnosis and treatment in breast cancer clinical therapies. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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