Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling

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 an...

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Main Authors: Mona Meng Wang, Chuanfei Chen, Myoe Naing Lynn, Carlos R. Figueiredo, Wei Jian Tan, Tong Seng Lim, Sarah E. Coupland, Anita Sook Yee Chan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2020.611584/full
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author Mona Meng Wang
Chuanfei Chen
Myoe Naing Lynn
Carlos R. Figueiredo
Wei Jian Tan
Tong Seng Lim
Sarah E. Coupland
Sarah E. Coupland
Anita Sook Yee Chan
Anita Sook Yee Chan
author_facet Mona Meng Wang
Chuanfei Chen
Myoe Naing Lynn
Carlos R. Figueiredo
Wei Jian Tan
Tong Seng Lim
Sarah E. Coupland
Sarah E. Coupland
Anita Sook Yee Chan
Anita Sook Yee Chan
author_sort Mona Meng Wang
collection DOAJ
description 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.
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spelling doaj.art-e09da6f205364672be98f0ad5163ce322022-12-21T19:38:01ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2021-01-01710.3389/fmolb.2020.611584611584Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor ProfilingMona Meng Wang0Chuanfei Chen1Myoe Naing Lynn2Carlos R. Figueiredo3Wei Jian Tan4Tong Seng Lim5Sarah E. Coupland6Sarah E. Coupland7Anita Sook Yee Chan8Anita Sook Yee Chan9Singapore National Eye Centre and Singapore Eye Research Institute, Singapore, SingaporeCytogenetics Laboratory, Department of Molecular Pathology, Singapore General Hospital, Singapore, SingaporeSingapore National Eye Centre and Singapore Eye Research Institute, Singapore, SingaporeMediCity Research Laboratory and Institute of Biomedicine, University of Turku, Turku, FinlandA. Menarini Biomarkers Singapore Pte Ltd, Singapore, SingaporeA. Menarini Biomarkers Singapore Pte Ltd, Singapore, SingaporeDepartment of Molecular and Clinical Cancer Medicine, ITM, University of Liverpool, Liverpool, United KingdomLiverpool Clinical Laboratories, Royal Liverpool University Hospital, Liverpool, United KingdomSingapore National Eye Centre and Singapore Eye Research Institute, Singapore, SingaporeDuke-Nus Medical School, Singapore, SingaporeUveal 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.https://www.frontiersin.org/articles/10.3389/fmolb.2020.611584/fulluveal melanomasingle-cell analysisDEPArray NxT technologyCellSearchcirculating tumor cellsFFPE
spellingShingle Mona Meng Wang
Chuanfei Chen
Myoe Naing Lynn
Carlos R. Figueiredo
Wei Jian Tan
Tong Seng Lim
Sarah E. Coupland
Sarah E. Coupland
Anita Sook Yee Chan
Anita Sook Yee Chan
Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
Frontiers in Molecular Biosciences
uveal melanoma
single-cell analysis
DEPArray NxT technology
CellSearch
circulating tumor cells
FFPE
title Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
title_full Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
title_fullStr Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
title_full_unstemmed Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
title_short Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
title_sort applying single cell technology in uveal melanomas current trends and perspectives for improving uveal melanoma metastasis surveillance and tumor profiling
topic uveal melanoma
single-cell analysis
DEPArray NxT technology
CellSearch
circulating tumor cells
FFPE
url https://www.frontiersin.org/articles/10.3389/fmolb.2020.611584/full
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