In situ characterization of the tumor microenvironment.
- Publisher:
- ELSEVIER SCI LTD
- Publication Type:
- Journal Article
- Citation:
- Curr Opin Biotechnol, 2024, 86, pp. 103083
- Issue Date:
- 2024-04
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Sadeghirad, H | |
dc.contributor.author | Yaghoubi Naei, V | |
dc.contributor.author | O'Byrne, K | |
dc.contributor.author | Warkiani, ME | |
dc.contributor.author | Kulasinghe, A | |
dc.date.accessioned | 2024-08-14T01:55:11Z | |
dc.date.available | 2024-01-30 | |
dc.date.available | 2024-08-14T01:55:11Z | |
dc.date.issued | 2024-04 | |
dc.identifier.citation | Curr Opin Biotechnol, 2024, 86, pp. 103083 | |
dc.identifier.issn | 0958-1669 | |
dc.identifier.issn | 1879-0429 | |
dc.identifier.uri | http://hdl.handle.net/10453/180404 | |
dc.description.abstract | The development of new therapies for cancer is underpinned by an increasing need to comprehensively characterize the tumor microenvironment (TME). While traditional approaches have relied on bulk or single-cell approaches, these are limited in their ability to provide cellular context. Deconvolution of the complex TME is fundamental to understanding tumor dynamics and treatment resistance. Spatially resolved characterization of the TME is likely to provide greater insights into the cellular architecture, tumor-immune cell interactions, receptor-ligand interactions, and cell niches. In turn, these aid in dictating the optimal way in which to target each patient's individual cancer. In this review, we discuss a number of cutting-edge in situ spatial profiling methods giving us new insights into tumor biology. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | ELSEVIER SCI LTD | |
dc.relation.ispartof | Curr Opin Biotechnol | |
dc.relation.isbasedon | 10.1016/j.copbio.2024.103083 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 06 Biological Sciences, 09 Engineering, 10 Technology | |
dc.subject.classification | Biotechnology | |
dc.subject.classification | 3001 Agricultural biotechnology | |
dc.subject.classification | 3106 Industrial biotechnology | |
dc.subject.classification | 3206 Medical biotechnology | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Tumor Microenvironment | |
dc.subject.mesh | Cell Communication | |
dc.subject.mesh | Neoplasms | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Neoplasms | |
dc.subject.mesh | Cell Communication | |
dc.subject.mesh | Tumor Microenvironment | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Tumor Microenvironment | |
dc.subject.mesh | Cell Communication | |
dc.subject.mesh | Neoplasms | |
dc.title | In situ characterization of the tumor microenvironment. | |
dc.type | Journal Article | |
utslib.citation.volume | 86 | |
utslib.location.activity | England | |
utslib.for | 06 Biological Sciences | |
utslib.for | 09 Engineering | |
utslib.for | 10 Technology | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | University of Technology Sydney/Strength - CHT - Health Technologies | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering | |
pubs.organisational-group | University of Technology Sydney/All Manual Groups | |
pubs.organisational-group | University of Technology Sydney/All Manual Groups/Centre for Health Technologies (CHT) | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-08-14T01:55:09Z | |
pubs.publication-status | Published | |
pubs.volume | 86 |
Abstract:
The development of new therapies for cancer is underpinned by an increasing need to comprehensively characterize the tumor microenvironment (TME). While traditional approaches have relied on bulk or single-cell approaches, these are limited in their ability to provide cellular context. Deconvolution of the complex TME is fundamental to understanding tumor dynamics and treatment resistance. Spatially resolved characterization of the TME is likely to provide greater insights into the cellular architecture, tumor-immune cell interactions, receptor-ligand interactions, and cell niches. In turn, these aid in dictating the optimal way in which to target each patient's individual cancer. In this review, we discuss a number of cutting-edge in situ spatial profiling methods giving us new insights into tumor biology.
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