miRNome of inflammatory breast cancer

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• 作者：Diana V Maltseva (17)
  Vladimir V Galatenko (17) (18)
  Timur R Samatov (17)
  Svetlana O Zhikrivetskaya (17)
  Nadezhda A Khaustova (17)
  Ilya N Nechaev (19)
  Maxim U Shkurnikov (19)
  Alexey E Lebedev (17)
  Irina A Mityakina (17) (19)
  Andrey D Kaprin (19)
  Udo Schumacher (20)
  Alexander G Tonevitsky (18) (19)
  
  17. SRC Bioclinicum ; Ugreshskaya str 2/85 ; 115088 ; Moscow ; Russia
  18. Moscow State University ; Leninskie Gory ; 119991 ; Moscow ; Russia
  19. P.A. Hertsen Moscow Research Oncology Institute ; 2nd Botkinskii p. 3 ; Moscow ; 125284 ; Russia
  20. Department of Anatomy and Experimental Morphology ; University Cancer Center ; University Medical Center Hamburg-Eppendorf ; Martinistr. 52 ; Hamburg ; D-20246 ; Germany
  
• 关键词：Inflammatory breast cancer ; miRNA ; Microarray ; tp53 mutational status
• 刊名：BMC Research Notes
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：7
• 期：1
• 全文大小：723 KB
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• 刊物主题：Biomedicine general; Medicine/Public Health, general; Life Sciences, general;
• 出版者：BioMed Central
• ISSN：1756-0500

文摘

Background Inflammatory breast cancer (IBC) is an extremely malignant form of breast cancer which can be easily misdiagnosed. Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far. The aim of this study was to reveal the IBC-specific miRNA expression profile and to evaluate its association with clinicopathological parameters. Methods miRNA expression profiles of 13 IBC and 17 non-IBC patients were characterized using comprehensive Affymetrix GeneChip miRNA 3.0 microarray platform. Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets. Results 31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression. In addition, a minimal predictive set of 4 miRNAs characteristic for the IBC phenotype and associated with the TP53 mutational status in breast cancer patients was identified. Conclusions We have characterized the complete miRNome of inflammatory breast cancer and found differentially expressed miRNAs which reliably classify the patients to IBC and non-IBC groups. We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression. Furthermore a minimal IBC-related predictive set of 4 miRNAs associated with the TP53 mutational status and survival for breast cancer patients was identified.