- Title
- A new era of integration between multiomics and spatio-temporal analysis for the translation of EMT towards clinical applications in cancer
- Creator
- Fonseca Teixeira, Adilson; Wu, Siqi; Luwor, Rodney; Zhu, Hong-Jian
- Date
- 2023
- Type
- Text; Journal article; Review
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/199138
- Identifier
- vital:19136
- Identifier
-
https://doi.org/10.3390/cells12232740
- Identifier
- ISSN:2073-4409 (ISSN)
- Abstract
- Epithelial-mesenchymal transition (EMT) is crucial to metastasis by increasing cancer cell migration and invasion. At the cellular level, EMT-related morphological and functional changes are well established. At the molecular level, critical signaling pathways able to drive EMT have been described. Yet, the translation of EMT into efficient diagnostic methods and anti-metastatic therapies is still missing. This highlights a gap in our understanding of the precise mechanisms governing EMT. Here, we discuss evidence suggesting that overcoming this limitation requires the integration of multiple omics, a hitherto neglected strategy in the EMT field. More specifically, this work summarizes results that were independently obtained through epigenomics/transcriptomics while comprehensively reviewing the achievements of proteomics in cancer research. Additionally, we prospect gains to be obtained by applying spatio-temporal multiomics in the investigation of EMT-driven metastasis. Along with the development of more sensitive technologies, the integration of currently available omics, and a look at dynamic alterations that regulate EMT at the subcellular level will lead to a deeper understanding of this process. Further, considering the significance of EMT to cancer progression, this integrative strategy may enable the development of new and improved biomarkers and therapeutics capable of increasing the survival and quality of life of cancer patients. © 2023 by the authors.
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Relation
- Cells Vol. 12, no. 23 (2023), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2023 by the authors
- Rights
- Open Access
- Subject
- 31 Biological sciences; 32 Biomedical and clinical sciences; Cancer metastasis; EMT; Genomics; Multiomics; Proteomics; Secretome; Transcriptomic
- Full Text
- Reviewed
- Funder
- Research was supported by the Australia’s National Health and Medical Research Council (NHMRC, #433618) (H.-J.Z.), and Friends of the Royal Melbourne Hospital Neurosciences Foundation (H.-J.Z.). A.F.T. was supported by the Melbourne Research Scholarship. S.W. was supported by the Research Training Scholarship, R.J. Fletcher Research Scholarship and Nick Christopher PhD Scholarship.
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