The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype
Open accessAbstract
Background: MicroRNAs (miRNAs), a class of short non-coding RNAs found in many plants and animals, often act post-transcriptionally to inhibit gene expression. Results: Here we report the analysis of miRNA expression in 93 primary human breast tumors, using a bead-based flow cytometric miRNA expression profiling method. Of 309 human miRNAs assayed, we identify 133 miRNAs expressed in human breast and breast tumors. We used mRNA expression profiling to classify the breast tumors as luminal A, luminal B, basal-like, HER2+ and normal-like. A number of miRNAs are differentially expressed between these molecular tumor subtypes and individual miRNAs are associated with clinicopathological factors. Furthermore, we find that miRNAs could classify basal versus luminal tumor subtypes in an independent data set. In some cases, changes in miRNA expression correlate with genomic loss or gain; in others, changes in miRNA expression are likely due to changes in primary transcription and or miRNA biogenesis. Finally, the expression of DICER1 and AGO2 is correlated with tumor subtype and may explain some of the changes in miRNA expression observed. Conclusion: This study represents the first integrated analysis of miRNA expression, mRNA expression and genomic changes in human breast cancer and may serve as a basis for functional studies of the role of miRNAs in the etiology of breast cancer. Furthermore, we demonstrate that bead-based flow cytometric miRNA expression profiling might be a suitable platform to classify breast cancer into prognostic molecular subtypes.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Calin, G. A., Dumitru, C. D., Shimizu, M., Bichi, R., Zupo, S., Noch, E., Aldler, H., Rattan, S., Keating, M., Rai, K., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242606799 · Cited by 5,111
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
Cited by
MicroRNAs in Cancer: Small Molecules With a Huge Impact
Iorio, M. V., & Croce, C. M. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2009.24.0317 · Cited by 959
microRNAs in cancer management
Kong, Y. W., Ferland-McCollough, D., Jackson, T. J., & Bushell, M. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(12)70073-6 · Cited by 734
MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets
Baffa, R., Fassan, M., Volinia, S., O'Hara, B., Liu, C., Palazzo, J. P., Gardiman, M., Rugge, M., Gomella, L. G., Croce, C. M., et al. (2009) · The Journal of Pathology · doi:10.1002/path.2586 · Cited by 473
Recurrent Somatic DICER1 Mutations in Nonepithelial Ovarian Cancers
Heravi-Moussavi, A., Anglesio, M. S., Cheng, S.-W. G., Senz, J., Yang, W., Prentice, L., Fejes, A. P., Chow, C., Tone, A., Kalloger, S. E., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1102903 · Cited by 466
MicroRNA—implications for cancer
Sassen, S., Miska, E. A., & Caldas, C. (2008) · Virchows Archiv · doi:10.1007/s00428-007-0532-2 · Cited by 441
Self-citation
Metadata
- Authors
- Blenkiron, C., Goldstein, L. D., Thorne, N. P., Spiteri, I., Chin, S.-F., Dunning, M. J., Barbosa-Morais, N. L., Teschendorff, A. E., Green, A. R., Ellis, I. O., Tavaré, S., Caldas, C., & Miska, E. A.
- Venue
- Genome Biology
- Published
- 2007-10-08
- Volume
- 8
- Issue
- 10
- Pages
- R214-R214
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2124007301
- Cited by
- 948
- References
- 20
- FWCI
- 19.29
- Type
- journal article
- Language
- en
- Open access
- gold
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- Blenkiron, C., Goldstein, L. D., Thorne, N. P., Spiteri, I., Chin, S.-F., Dunning, M. J., Barbosa-Morais, N. L., Teschendorff, A. E., Green, A. R., Ellis, I. O., Tavaré, S., Caldas, C., & Miska, E. A. (2007). MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype. Genome Biology. https://doi.org/10.1186/gb-2007-8-10-r214
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