MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets.
Publication/Presentation Date
10-1-2009
Abstract
Small non-coding microRNAs (miRNAs) contribute to cancer development and progression, and are differentially expressed in normal tissues and cancers. However, the specific role of miRNAs in the metastatic process is still unknown. To seek a specific miRNA expression signature characterizing the metastatic phenotype of solid tumours, we performed a miRNA microarray analysis on 43 paired primary tumours (ten colon, ten bladder, 13 breast, and ten lung cancers) and one of their related metastatic lymph nodes. We identified a metastatic cancer miRNA signature comprising 15 overexpressed and 17 underexpressed miRNAs. Our results were confirmed by qRT-PCR analysis. Among the miRNAs identified, some have a well-characterized association with cancer progression, eg miR-10b, miR-21, miR-30a, miR-30e, miR-125b, miR-141, miR-200b, miR-200c, and miR-205. To further support our data, we performed an immunohistochemical analysis for three well-defined miRNA gene targets (PDCD4, DHFR, and HOXD10 genes) on a small series of paired colon, breast, and bladder cancers, and one of their metastatic lymph nodes. We found that the immunohistochemical expression of these targets significantly follows the corresponding miRNA deregulation. Our results suggest that specific miRNAs may be directly involved in cancer metastasis and that they may represent a novel diagnostic tool in the characterization of metastatic cancer gene targets.
Volume
219
Issue
2
First Page
214
Last Page
221
ISSN
1096-9896
Published In/Presented At
Baffa, R., Fassan, M., Volinia, S., O'Hara, B., Liu, C. G., Palazzo, J. P., Gardiman, M., Rugge, M., Gomella, L. G., Croce, C. M., & Rosenberg, A. (2009). MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets. The Journal of pathology, 219(2), 214–221. https://doi.org/10.1002/path.2586
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
19593777
Department(s)
Administration and Leadership
Document Type
Article