The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets
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. Copyright © 2009 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
MicroRNA signatures in human cancers
Calin, G. A., & Croce, C. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1997 · Cited by 7,590
Self-citationOncomirs—MicroRNAs with a role in cancer
Esquela-Kerscher, A., & Slack, F. J. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1840 · Cited by 5,884
A microRNA expression signature of human solid tumors defines cancer gene targets
Volinia, S., Calin, G. A., Liu, C.-G., Ambs, S., Cimmino, A., Petrocca, F., Visone, R., Iorio, M., Roldo, C., Ferracin, M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510565103 · Cited by 5,697
Self-citationHuman microRNA genes are frequently located at fragile sites and genomic regions involved in cancers
Calin, G. A., Sevignani, C., Dumitru, C. D., Hyslop, T., Noch, E., Yendamuri, S., Shimizu, M., Rattan, S., Bullrich, F., Negrini, M., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307323101 · Cited by 4,095
Self-citationMicroRNA 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
Self-citationGregory, P. A., Bert, A. G., Paterson, E. L., Barry, S. C., Tsykin, A., Farshid, G., Vadas, M. A., Khew-Goodall, Y., & Goodall, G. J. (2008) · Nature Cell Biology · doi:10.1038/ncb1722 · Cited by 3,863
Tumour invasion and metastasis initiated by microRNA-10b in breast cancer
Ma, L., Teruya-Feldstein, J., & Weinberg, R. A. (2007) · Nature · doi:10.1038/nature06174 · Cited by 2,605
A MicroRNA Signature Associated with Prognosis and Progression in Chronic Lymphocytic Leukemia
Calin, G. A., Ferracin, M., Cimmino, A., Di Leva, G., Shimizu, M., Wojcik, S. E., Iorio, M. V., Visone, R., Sever, N. I., Fabbri, M., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050995 · Cited by 2,403
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Ma, L., Reinhardt, F., Pan, E., Soutschek, J., Bhat, B., Marcusson, E. G., Teruya-Feldstein, J., Bell, G. W., & Weinberg, R. A. (2010) · Nature Biotechnology · doi:10.1038/nbt.1618 · Cited by 772
Nosho, K., Baba, Y., Tanaka, N., Shima, K., Hayashi, M., Meyerhardt, J. A., Giovannucci, E., Dranoff, G., Fuchs, C. S., & Ogino, S. (2010) · The Journal of Pathology · doi:10.1002/path.2774 · Cited by 502
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Su, X., Chakravarti, D., Cho, M. S., Liu, L., Gi, Y. J., Lin, Y.-L., Leung, M. L., El-Naggar, A., Creighton, C. J., Suraokar, M. B., et al. (2010) · Nature · doi:10.1038/nature09459 · Cited by 419
Davalos, V, Moutinho, C., Villanueva, A., Boque, R., Silva, P., Carneiro, F., & Esteller, M. (2012) · Oncogene · doi:10.1038/onc.2011.383 · Cited by 351
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Hamam, R., Hamam, D., Alsaleh, K. A., Kassem, M., Zaher, W., Alfayez, M., Aldahmash, A., & Alajez, N. M. (2017) · Cell Death & Disease · doi:10.1038/cddis.2017.440 · Cited by 322
Ostenfeld, M. S., Jeppesen, D. K., Laurberg, J. R., Boysen, A. T., Bramsen, J. B., Primdal-Bengtson, B., Hendrix, A., Lamy, P., Dagnaes-Hansen, F., Rasmussen, M. H., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-3512 · Cited by 294
Tucci, P., Agostini, M., Grespi, F., Markert, E. K., Terrinoni, A., Vousden, K. H., Muller, P. A. J., Dötsch, V., Kehrloesser, S., Sayan, B. S., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110977109 · Cited by 286
MicroRNA expression analysis in triple-negative (ER, PR and Her2/neu) breast cancer
Radojicic, J., Zaravinos, A., Vrekoussis, T., Kafousi, M., Spandidos, D. A., & Stathopoulos, E. N. (2011) · Cell Cycle · doi:10.4161/cc.10.3.14754 · Cited by 256
YAN, L.-X., LIU, Y.-H., XIANG, J.-W., WU, Q.-N., XU, L.-B., LUO, X.-L., ZHU, X.-L., LIU, C., XU, F.-P., LUO, D.-L., et al. (2016) · International Journal of Oncology · doi:10.3892/ijo.2015.3287 · Cited by 122
Self-citationMartin, E. C., Elliott, S., Rhodes, L. V., Antoon, J. W., Fewell, C., Zhu, Y., Driver, J. L., Jodari‐Karimi, M., Taylor, C. W., Flemington, E. K., et al. (2014) · Molecular Carcinogenesis · doi:10.1002/mc.21946 · Cited by 54
Choi, K. H., Shin, C. H., Lee, W. J., Ji, H., & Kim, H. H. (2019) · Bioscience Reports · doi:10.1042/bsr20190634 · Cited by 42
Metadata
- Authors
- Baffa, R., Fassan, M., Volinia, S., O'Hara, B., Liu, C., Palazzo, J. P., Gardiman, M., Rugge, M., Gomella, L. G., Croce, C. M., & Rosenberg, A.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2009-07-10
- Volume
- 219
- Issue
- 2
- Pages
- 214-221
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W1994061059
- Cited by
- 473
- References
- 52
- FWCI
- 16.22
- Type
- journal article
- Language
- en
- Open access
- closed
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