The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Genomic Profiling of MicroRNAs in Bladder Cancer: miR-129 Is Associated with Poor Outcome and Promotes Cell Death In vitro
Abstract
microRNAs (miRNA) are involved in cancer development and progression, acting as tumor suppressors or oncogenes. Here, we profiled the expression of 290 unique human miRNAs in 11 normal and 106 bladder tumor samples using spotted locked nucleic acid–based oligonucleotide microarrays. We identified several differentially expressed miRNAs between normal urothelium and cancer and between the different disease stages. miR-145 was found to be the most down-regulated in cancer compared with normal, and miR-21 was the most up-regulated in cancer. Furthermore, we identified miRNAs that significantly correlated to the presence of concomitant carcinoma in situ. We identified several miRNAs with prognostic potential for predicting disease progression (e.g., miR-129, miR-133b, and miR-518c*). We localized the expression of miR-145, miR-21, and miR-129 to urothelium by in situ hybridization. We then focused on miR-129 that exerted significant growth inhibition and induced cell death upon transfection with a miR-129 precursor in bladder carcinoma cell lines T24 and SW780 cells. Microarray analysis of T24 cells after transfection showed significant miR-129 target down-regulation (P = 0.0002) and pathway analysis indicated that targets were involved in cell death processes. By analyzing gene expression data from clinical tumor samples, we identified significant expression changes of target mRNA molecules related to the miRNA expression. Using luciferase assays, we documented a direct link between miR-129 and the two putative targets GALNT1 and SOX4. The findings reported here indicate that several miRNAs are differentially regulated in bladder cancer and may form a basis for clinical development of new biomarkers for bladder cancer. [Cancer Res 2009;69(11):4851–60]
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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
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
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
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
Asangani, I. A., Rasheed, S. A. K., Nikolova, D. A., Leupold, J. H., Colburn, N. H., Post, S., & Allgayer, H. (2008) · Oncogene · doi:10.1038/sj.onc.1210856 · Cited by 1,882
Si, M.-L., Zhu, S., Wu, H., Lu, Z., Wu, F., & Mo, Y.-Y. (2007) · Oncogene · doi:10.1038/sj.onc.1210083 · Cited by 1,600
Extensive modulation of a set of microRNAs in primary glioblastoma
Ciafrè, S. A., Galardi, S., Mangiola, A., Ferracin, M., Liu, C.-G., Sabatino, G., Negrini, M., Maira, G., Croce, C. M., & Farace, M. G. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2005.07.030 · Cited by 1,096
MicroRNA-21 promotes cell transformation by targeting the programmed cell death 4 gene
Lu, Z., Liu, M., Stribinskis, V, Klinge, C. M., Ramos, K. S., Colburn, N. H., & Li, Y. (2008) · Oncogene · doi:10.1038/onc.2008.72 · Cited by 711
Cited by
Bennett, E. P., Mandel, U., Clausen, H., Gerken, T. A., Fritz, T. A., & Tabak, L. A. (2012) · Glycobiology · doi:10.1093/glycob/cwr182 · Cited by 876
microRNA-1/133a and microRNA-206/133b clusters: Dysregulation and functional roles in human cancers
Nohata, N., Hanazawa, T., Enokida, H., & Seki, N. (2012) · Oncotarget · doi:10.18632/oncotarget.424 · Cited by 253
Aberrant expression of miR‐196a in gastric cancers and correlation with recurrence
Tsai, K., Liao, Y., Wu, C., Hu, L., Li, S., Chan, W., Ho, M., Lai, C., Kao, H., Fang, W., et al. (2012) · Genes, Chromosomes and Cancer · doi:10.1002/gcc.21924 · Cited by 68
Glycosylation in cancer: mechanisms, diagnostic markers, and therapeutic applications
Qusairy, Z., & Rada, M. (2025) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-025-05303-1 · Cited by 16
Metadata
- Authors
- Dyrskjøt, L., Ostenfeld, M. S., Bramsen, J. B., Silahtaroglu, A. N., Lamy, P., Ramanathan, R., Fristrup, N., Jensen, J. L., Andersen, C. L., Zieger, K., Kauppinen, S., Ulhøi, B. P., Kjems, J., Borre, M., & Ørntoft, T. F.
- Venue
- Cancer Research
- Published
- 2009-06-01
- Volume
- 69
- Issue
- 11
- Pages
- 4851-4860
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2014610388
- Cited by
- 363
- References
- 9
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dyrskjøt, L., Ostenfeld, M. S., Bramsen, J. B., Silahtaroglu, A. N., Lamy, P., Ramanathan, R., Fristrup, N., Jensen, J. L., Andersen, C. L., Zieger, K., Kauppinen, S., Ulhøi, B. P., Kjems, J., Borre, M., & Ørntoft, T. F. (2009). Genomic Profiling of MicroRNAs in Bladder Cancer: miR-129 Is Associated with Poor Outcome and Promotes Cell Death In vitro. Cancer Research. https://doi.org/10.1158/0008-5472.can-08-4043
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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