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Direct targeting of Sec23a by miR-200s influences cancer cell secretome and promotes metastatic colonization
Open accessAbstract
Although the role of miR-200s in regulating E-cadherin expression and epithelial-to-mesenchymal transition is well established, their influence on metastatic colonization remains controversial. Here we have used clinical and experimental models of breast cancer metastasis to discover a pro-metastatic role of miR-200s that goes beyond their regulation of E-cadherin and epithelial phenotype. Overexpression of miR-200s is associated with increased risk of metastasis in breast cancer and promotes metastatic colonization in mouse models, phenotypes that cannot be recapitulated by E-cadherin expression alone. Genomic and proteomic analyses revealed global shifts in gene expression upon miR-200 overexpression toward that of highly metastatic cells. miR-200s promote metastatic colonization partly through direct targeting of Sec23a, which mediates secretion of metastasis-suppressive proteins, including Igfbp4 and Tinagl1, as validated by functional and clinical correlation studies. Overall, these findings suggest a pleiotropic role of miR-200s in promoting metastatic colonization by influencing E-cadherin–dependent epithelial traits and Sec23a-mediated tumor cell secretome.
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Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Györffy, B., Lanczky, A., Eklund, A. C., Denkert, C., Budczies, J., Li, Q., & Szallasi, Z. (2010) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0674-9 · Cited by 4,169
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
Genes that mediate breast cancer metastasis to lung
Minn, A. J., Gupta, G. P., Siegel, P. M., Bos, P. D., Shu, W., Giri, D. D., Viale, A., Olshen, A. B., Gerald, W. L., & Massagué, J. (2005) · Nature · doi:10.1038/nature03799 · Cited by 2,922
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
Park, S.-M., Gaur, A. B., Lengyel, E., & Peter, M. E. (2008) · Genes & Development · doi:10.1101/gad.1640608 · Cited by 2,272
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
Iliopoulos, D., Lindahl-Allen, M., Polytarchou, C., Hirsch, H. A., Tsichlis, P. N., & Struhl, K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.08.013 · Cited by 399
Cited by
Regulatory networks defining EMT during cancer initiation and progression
Craene, B. D., & Berx, G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3447 · Cited by 2,487
Metastatic colonization by circulating tumour cells
Massagué, J., & Obenauf, A. C. (2016) · Nature · doi:10.1038/nature17038 · Cited by 2,062
Fischer, K. R., Durrans, A., Lee, S., Sheng, J., Li, F., Wong, S. T. C., Choi, H., El Rayes, T., Ryu, S., Troeger, J., et al. (2015) · Nature · doi:10.1038/nature15748 · Cited by 1,791
Signaling mechanisms of the epithelial-mesenchymal transition
Gonzalez, D. M., & Medici, D. (2014) · Science Signaling · doi:10.1126/scisignal.2005189 · Cited by 1,721
Steeg, P. S. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.25 · Cited by 1,363
Lujambio, A., & Lowe, S. W. (2012) · Nature · doi:10.1038/nature10888 · Cited by 1,084
Oncogenic roles of EMT-inducing transcription factors
Puisieux, A., Brabletz, T., & Caramel, J. (2014) · Nature Cell Biology · doi:10.1038/ncb2976 · Cited by 1,040
EMT, MET, Plasticity, and Tumor Metastasis
Bakir, B., Chiarella, A. M., Pitarresi, J. R., & Rustgi, A. K. (2020) · Trends in Cell Biology · doi:10.1016/j.tcb.2020.07.003 · Cited by 1,010
A network-biology perspective of microRNA function and dysfunction in cancer
Bracken, C. P., Scott, H. S., & Goodall, G. J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.134 · Cited by 668
To differentiate or not — routes towards metastasis
Brabletz, T. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3265 · Cited by 623
Vanharanta, S., & Massagué, J. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.09.007 · Cited by 563
Mechanisms Governing Metastatic Dormancy and Reactivation
Giancotti, F. G. (2013) · Cell · doi:10.1016/j.cell.2013.10.029 · Cited by 586
Surviving at a Distance: Organ-Specific Metastasis
Obenauf, A. C., & Massagué, J. (2015) · Trends in Cancer · doi:10.1016/j.trecan.2015.07.009 · Cited by 565
A Switch in the Expression of Embryonic EMT-Inducers Drives the Development of Malignant Melanoma
Caramel, J., Papadogeorgakis, E., Hill, L., Browne, G. J., Richard, G., Wierinckx, A., Saldanha, G., Osborne, J., Hutchinson, P., Tse, G., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.08.018 · Cited by 517
Controversies around epithelial–mesenchymal plasticity in cancer metastasis
Williams, E. D., Gao, D., Redfern, A., & Thompson, E. W. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0213-x · Cited by 451
Celià-Terrassa, T., Meca-Cortés, Ó., Mateo, F., Martínez de Paz, A., Rubio, N., Arnal-Estapé, A., Ell, B. J., Bermudo, R., Díaz, A., Guerra-Rebollo, M., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59218 · Cited by 450
Self-citationEMT and MET in Metastasis: Where Are the Cancer Stem Cells?
Brabletz, T. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.11.009 · Cited by 403
Unravelling the complexity of metastasis — molecular understanding and targeted therapies
Sethi, N., & Kang, Y. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3125 · Cited by 397
Self-citationExtracellular matrix signatures of human mammary carcinoma identify novel metastasis promoters
Naba, A., Clauser, K. R., Lamar, J. M., Carr, S. A., & Hynes, R. O. (2014) · eLife · doi:10.7554/elife.01308 · Cited by 377
Humphries, B., & Yang, C. (2015) · Oncotarget · doi:10.18632/oncotarget.3052 · Cited by 346
Microenvironmental Regulation of Epithelial–Mesenchymal Transitions in Cancer
Gao, D., Vahdat, L. T., Wong, S., Chang, J. C., & Mittal, V. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-1223 · Cited by 305
Control of metastatic progression by microRNA regulatory networks
Pencheva, N., & Tavazoie, S. F. (2013) · Nature Cell Biology · doi:10.1038/ncb2769 · Cited by 295
The microRNA-200 family regulates pancreatic beta cell survival in type 2 diabetes
Belgardt, B.-F., Ahmed, K., Spranger, M., Latreille, M., Denzler, R., Kondratiuk, N., von Meyenn, F., Villena, F. N., Herrmanns, K., Bosco, D., et al. (2015) · Nature Medicine · doi:10.1038/nm.3862 · Cited by 278
MicroRNA control of epithelial–mesenchymal transition and metastasis
Zhang, J., & Ma, L. (2012) · Cancer and Metastasis Reviews · doi:10.1007/s10555-012-9368-6 · Cited by 273
Nieto, M. A., & Cano, A. (2012) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2012.05.003 · Cited by 262
Epithelial-Mesenchymal Transition and Metastasis under the Control of Transforming Growth Factor β
Tsubakihara, Y., & Moustakas, A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19113672 · Cited by 160
MicroRNAs in the etiology of colorectal cancer: Pathways and clinical implications
Strubberg, A. M., & Madison, B. B. (2017) · Disease Models & Mechanisms · doi:10.1242/dmm.027441 · Cited by 147
miR-139-5p is a regulator of metastatic pathways in breast cancer
Krishnan, K., Steptoe, A. L., Martin, H. C., Pattabiraman, D. R., Nones, K., Waddell, N., Mariasegaram, M., Simpson, P. T., Lakhani, S. R., Vlassov, A., et al. (2013) · RNA · doi:10.1261/rna.042143.113 · Cited by 134
Yu, L., Wu, D., Gao, H., Balic, J. J., Tsykin, A., Han, T.-S., Liu, Y. D., Kennedy, C. L., Li, J. K., Mao, J. Q., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2485 · Cited by 50
The emerging functions of the p53-miRNA network in stem cell biology
Lin, C.-P., Choi, Y. J., Hicks, G. G., & He, L. (2012) · Cell Cycle · doi:10.4161/cc.20207 · Cited by 38
Metadata
- Authors
- Korpal, M., Ell, B. J., Buffa, F. M., Ibrahim, T., Blanco, M. A., Celià-Terrassa, T., Mercatali, L., Khan, Z., Goodarzi, H., Hua, Y., Wei, Y., Hu, G., Garcia, B. A., Ragoussis, J., Amadori, D., Harris, A. L., & Kang, Y.
- Venue
- Nature Medicine
- Published
- 2011-08-07
- Volume
- 17
- Issue
- 9
- Pages
- 1101-1108
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2138885372
- Cited by
- 636
- References
- 9
- FWCI
- 20.90
- Type
- journal article
- Language
- en
- Open access
- green
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