دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
المؤلفون: Mona Meng Wang, Chuanfei Chen, Myoe Naing Lynn, Carlos R. Figueiredo, Wei Jian Tan, Tong Seng Lim, Sarah E. Coupland, Anita Sook Yee Chan
المصدر: Frontiers in Molecular Biosciences, Vol 7 (2021)
بيانات النشر: Frontiers Media S.A., 2021.
سنة النشر: 2021
المجموعة: LCC:Biology (General)
مصطلحات موضوعية: uveal melanoma, single-cell analysis, DEPArray NxT technology, CellSearch, circulating tumor cells, FFPE, Biology (General), QH301-705.5
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-889X
Relation: https://www.frontiersin.org/articles/10.3389/fmolb.2020.611584/full; https://doaj.org/toc/2296-889X
DOI: 10.3389/fmolb.2020.611584
URL الوصول: https://doaj.org/article/e09da6f205364672be98f0ad5163ce32
رقم الأكسشن: edsdoj.09da6f205364672be98f0ad5163ce32
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2296889X
DOI:10.3389/fmolb.2020.611584