AACR 2008 QuantiMir Technology Highlights

 


 

 

Cancer qPCR array + QuantiMir Poster Citation:

#133   Aryl hydrocarbon receptor agonists inhibit breast cancer cell growth and modulate microRNA expression. Shu Zhang1, Craig Rowlands2, Stephen Safe1. 1Texas A&M University, College Station, TX; 2The Dow Chemical Company, Midland, MI.

     MDA-MB-468 and BT474 are estrogen receptor (ER)-negative and ER-positive breast cancer cell lines, respectively, that also express the aryl hydrocarbon receptor (AhR). Treatment of these cell lines with 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), 1,2,3,7,8-pentachlorodibenzo-p-dioxin (PCDD), 2,3,7,8-tetrachlorodibenzofuran (TCDF), 2,3,4,7,8-pentachlorodibenzofuran (PCDF), 3,3’,4,4’,5-pentachlorobiphenyl (PCB), and the selective AhR modulator (SAhRM) 6-methyl-1,3,8-trichlorodibenzofuran (MCDF) induced CYP1A1 expression, a typical AhR-responsive gene. In addition, treatment with 40 nM TCDD, PCDD, TCDF and PCDF, 100 nM PCB and 5 uM MCDF resulted in a >30-80% and 25-50% decreased in MDA-MB-468 and BT474 cell proliferation, respectively. Moreover, in cells treated with the halogenated aromatic TCDD, PCDD, TCDF, PCDF and PCB congeners, the growth inhibitory effects were completely abrogated after cotransfection with a small inhibitory RNA for the AhR (iAhR). In contrast, iAhR only partially reversed the antiproliferative effects of 6-MCDF, suggesting that this compound activates both AhR-dependent and AhR-independent growth inhibitory pathways.

The potential role of microRNAs in mediating the effects of these compounds was investigated using a System Biosciences QuantiMir Cancer MicroRNA qPCR Array. The results show that 6-MCDF and the five halogenated aromatics modulate expression of several common microRNAs including let-7-family, miR-103, miR-198 and miR-373. However, it was also evident that 6-MCDF and the five halogenated aromatics differentially modulated microRNA expression, and current studies are focused on identifying and characterizing structure-dependent activation of microRNAs via AhR-dependent and independent pathways. [Supported by the Dow Chemical Company and National Institutes of Health (ES09106 and ES04917)]

 

QuantiMir Poster Citation:

#5064   Identification of differentially expressed miRNAs in gastric cancer. Oleg Tchernitsa1, Reinhold Schafer1, Balazzs Gyorffy1, Ulf Neumann1, Matthias P.A. Ebert2, Christoph Rocken1. 1Charite University Hospital, Berlin, Germany; 2Technical University Munich, Munich, Germany.

     Aims: In this study we investigated the differential expression of microRNA (miRNA) in lesional and nonlesional samples of gastric cancer patients.
 

Materials and Methods: Samples from gastric cancer and corresponding nonneoplastic gastric mucosa were obtained from six patients with intestinal type gastric cancer (m:f=4:1). Tissue samples were obtained immediately after surgery and stored at -80 °C. MiRNA was purified using the mirVana™ qRT-PCR miRNA Detection Kit (Ambion). Oligonucletide miRNA specific microarrays were spotted in the Laboratory for Functional Genetics of Charité (O.T., R.S.) using Invitrogen NCode™ Multi-Species miRNA Microarray Probe Set containing 857 mammalian probes. All probes were spotted with two replica on epoxy treated slides from Corning. Labeling was done using Invitrogen NCode™ miRNA labeling system. Microarray images were obtained on an Agilent G2565AA scanner at 10 μm resolution. Image analysis was performed using ImaGene software (BioDiscovery, Inc., El Segundo, USA). miRNA profiles of paired normal and tumor samples were compared. Statistical evaluation was performed using the BRB-ArrayTools version 3.6.0 beta 1. Differential expression was validated by RT-PCR using QuantiMir System (SBI System Biosciences).
 

Results: Thirty-three miRNAs were identified by Significance Analysis of Microarrays (SAM) analysis as up-regulated in gastric carcinoma compared to adjacent normal tissue. Fourteen miRNAs were also confirmed by Class Comparison analysis. All fourteen up-regulated miRNA transcripts were subsequently validated by QuantiMir RT-PCR and included hsa_miR_30b, hsa_let_7a, hsa_miR_7, hsa_miR_145, hsa_let_7b, hsa_let_7f, hsa_miR_93, hsa_let_7c, hsa_miR_125b, hsa_miR_320, hsa_miR_18a, hsa_miR_214, hsa_miR_23b, hsa_miR_106b. SAM analysis did not identify any commonly down-regulated miRNA in tumor tissues.
 

Conclusion: Intestinal type gastric cancer can be added to the growing list of tumors with differentially expressed miRNAs. Future studies will have to show whether differential expression of miRNA in gastric cancer is involved in tumor development and progression and is hence a putative target for diagnostic, prognostic or therapeutic purposes

 

 

 

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