The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An EMT spectrum defines an anoikis-resistant and spheroidogenic intermediate mesenchymal state that is sensitive to e-cadherin restoration by a src-kinase inhibitor, saracatinib (AZD0530)
Open accessAbstract
The phenotypic transformation of well-differentiated epithelial carcinoma into a mesenchymal-like state provides cancer cells with the ability to disseminate locally and to metastasise. Different degrees of epithelial-mesenchymal transition (EMT) have been found to occur in carcinomas from breast, colon and ovarian carcinoma (OC), among others. Numerous studies have focused on bona fide epithelial and mesenchymal states but rarely on intermediate states. In this study, we describe a model system for appraising the spectrum of EMT using 43 well-characterised OC cell lines. Phenotypic EMT characterisation reveals four subgroups: Epithelial, Intermediate E, Intermediate M and Mesenchymal, which represent different epithelial-mesenchymal compositions along the EMT spectrum. In cell-based EMT-related functional studies, OC cells harbouring an Intermediate M phenotype are characterised by high N-cadherin and ZEB1 expression and low E-cadherin and ERBB3/HER3 expression and are more anoikis-resistant and spheroidogenic. A specific Src-kinase inhibitor, Saracatinib (AZD0530), restores E-cadherin expression in Intermediate M cells in in vitro and in vivo models and abrogates spheroidogenesis. We show how a 33-gene EMT Signature can sub-classify an OC cohort into four EMT States correlating with progression-free survival (PFS). We conclude that the characterisation of intermediate EMT states provides a new approach to better define EMT. The concept of the EMT Spectrum allows the utilisation of EMT genes as predictive markers and the design and application of therapeutic targets for reversing EMT in a selective subgroup of patients.
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Cites
Snail, Zeb and bHLH factors in tumour progression: An alliance against the epithelial phenotype?
Peinado, H., Olmeda, D., & Cano, A. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2131 · Cited by 3,121 · cited 1×
“These sequential changes support previous studies, where SNAI1 is expressed at the onset of EMT and SNAI2, ZEB1/2 and TWIST are induced later.(9,10,34) This EMT Spectrum will serve as a very informative tool, given that most of the current knowledge about EMT derives from binary”
ResultKokkinos, M. I., Wafai, R., Wong, M. K., Newgreen, D. F., Thompson, E. W., & Waltham, M. (2007) · Cells Tissues Organs · doi:10.1159/000101320 · Cited by 394
Self-citation
Cited by
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
Self-citationTan, T. Z., Miow, Q. H., Miki, Y., Noda, T., Mori, S., Huang, R. Y., & Thiery, J. P. (2014) · EMBO Molecular Medicine · doi:10.15252/emmm.201404208 · Cited by 792
Self-citationZhang, J., Tian, X.-J., Zhang, H., Teng, Y., Li, R., Bai, F., Elankumaran, S., & Xing, J. (2014) · Science Signaling · doi:10.1126/scisignal.2005304 · Cited by 462
EMT and MET : necessary or permissive for metastasis?
Jolly, M. K., Ware, K. E., Gilja, S., Somarelli, J. A., & Levine, H. (2017) · Molecular Oncology · doi:10.1002/1878-0261.12083 · Cited by 371
Melanoma plasticity and phenotypic diversity: therapeutic barriers and opportunities
Rambow, F., Marine, J.-C., & Goding, C. R. (2019) · Genes & Development · doi:10.1101/gad.329771.119 · Cited by 325
Metadata
- Authors
- Huang, R. Y.-J., Wong, M. K., Tan, T. Z., Kuay, K. T., Ng, A. H. C., Chung, V. Y., Chu, Y.-S., Matsumura, N., Lai, H.-C., Lee, Y. F., Sim, W.-J., Chai, C., Pietschmann, E., Mori, S., Low, J. J. H., Choolani, M., & Thiery, J. P.
- Venue
- Cell Death & Disease
- Published
- 2013-11-07
- Volume
- 4
- Issue
- 11
- Pages
- e915-e915
- ISSN
- 2041-4889 (ISSN-L)
- OpenAlex
- W1966307963
- Cited by
- 427
- References
- 2
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Huang, R. Y.-J., Wong, M. K., Tan, T. Z., Kuay, K. T., Ng, A. H. C., Chung, V. Y., Chu, Y.-S., Matsumura, N., Lai, H.-C., Lee, Y. F., Sim, W.-J., Chai, C., Pietschmann, E., Mori, S., Low, J. J. H., Choolani, M., & Thiery, J. P. (2013). An EMT spectrum defines an anoikis-resistant and spheroidogenic intermediate mesenchymal state that is sensitive to e-cadherin restoration by a src-kinase inhibitor, saracatinib (AZD0530). Cell Death & Disease. https://doi.org/10.1038/cddis.2013.442
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.