Wang, Mona Meng, Chen, Chuanfei, Lynn, Myoe Naing, Figueiredo, Carlos R, Tan, Wei Jian, Lim, Tong Seng, Coupland, Sarah E 
ORCID: 0000-0002-1464-2069 and Chan, Anita Sook Yee
(2021)
Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling.
FRONTIERS IN MOLECULAR BIOSCIENCES, 7.
611584-.
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Front. Mol. Biosci_Single cell sequencing UM.pdf - Published version Download (720kB) | Preview |
Abstract
Uveal melanoma (UM) is the most common primary adult intraocular malignancy. This rare but devastating cancer causes vision loss and confers a poor survival rate due to distant metastases. Identifying clinical and molecular features that portend a metastatic risk is an important part of UM workup and prognostication. Current UM prognostication tools are based on determining the tumor size, gene expression profile, and chromosomal rearrangements. Although we can predict the risk of metastasis fairly accurately, we cannot obtain preclinical evidence of metastasis or identify biomarkers that might form the basis of targeted therapy. These gaps in UM research might be addressed by single-cell research. Indeed, single-cell technologies are being increasingly used to identify circulating tumor cells and profile transcriptomic signatures in single, drug-resistant tumor cells. Such advances have led to the identification of suitable biomarkers for targeted treatment. Here, we review the approaches used in cutaneous melanomas and other cancers to isolate single cells and profile them at the transcriptomic and/or genomic level. We discuss how these approaches might enhance our current approach to UM management and review the emerging data from single-cell analyses in UM.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | uveal melanoma, single-cell analysis, DEPArray NxT technology, CellSearch, circulating tumor cells, FFPE, melanoma prognostication, melanoma surveillance |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 01 Feb 2021 07:56 |
| Last Modified: | 18 Jan 2023 23:01 |
| DOI: | 10.3389/fmolb.2020.611584 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3115042 |
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