Measuring and Modelling the Epithelial- Mesenchymal Hybrid State in Cancer: Clinical Implications
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Description
The epithelial-mesenchymal (E/M) hybrid state has emerged as an important mediator of elements of cancer progression, facilitated by epithelial mesenchymal plasticity (EMP). We review here evidence for the presence, prognostic significance, and therapeutic potential of the E/M hybrid state in carcinoma. We further assess modelling predictions and validation studies to demonstrate stabilised E/M hybrid states along the spectrum of EMP, as well as computational approaches for characterising and quantifying EMP phenotypes, with particular attention to the emerging realm of single-cell approaches through RNA sequencing and protein-based techniques.
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| ID Code: | 233176 | ||||
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| Item Type: | Contribution to Journal (Review article) | ||||
| Refereed: | Yes | ||||
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| Additional Information: | Funding Information: M.K.J. and E.W.T. were supported by a SPARC grant awarded by MHRD, Government of India (SPARC/2018-2019/P303/SL). M.J.D. and E.W.T. received foundational support from the National Breast Cancer Foundation (CG-10-04). M.J.D. is funded by Cancer Council Victoria APP1187825, Cure Brain Cancer and the National Breast Cancer Foundation (CBCNBCF-19-009), and the Betty Smyth Centenary Fellowship in Bioinformatics. S.B. was supported by a QUT Postgraduate Research Award scholarship. The Translational Research Institute is funded by a grant from the Australian Government. | ||||
| Measurements or Duration: | 24 pages | ||||
| Additional URLs: | |||||
| Keywords: | Cancer, E/M hybrid · Partial epithelial- mesenchymal plasticity · Computational biology, epithelial transition, Epithelial-mesenchymal plasticity, Epithelial-mesenchymal transition, Mesenchymal, Molecular modelling | ||||
| DOI: | 10.1159/000515289 | ||||
| ISSN: | 1422-6405 | ||||
| Pure ID: | 112509755 | ||||
| Divisions: | Current > Research Centres > Centre for Genomics and Personalised Health Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Mathematical Sciences Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Biomedical Sciences |
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| Funding Information: | M.K.J. and E.W.T. were supported by a SPARC grant awarded by MHRD, Government of India (SPARC/2018-2019/P303/SL). M.J.D. and E.W.T. received foundational support from the National Breast Cancer Foundation (CG-10-04). M.J.D. is funded by Cancer Council Victoria APP1187825, Cure Brain Cancer and the National Breast Cancer Foundation (CBCNBCF-19-009), and the Betty Smyth Centenary Fellowship in Bioinformatics. S.B. was supported by a QUT Postgraduate Research Award scholarship. The Translational Research Institute is funded by a grant from the Australian Government. | ||||
| Copyright Owner: | 2021 S. Karger AG, Basel | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 04 Jul 2022 05:54 | ||||
| Last Modified: | 04 Jul 2024 20:01 |
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