Literature DB >> 33585560

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

Mona Meng Wang1, Chuanfei Chen2, Myoe Naing Lynn1, Carlos R Figueiredo3, Wei Jian Tan4, Tong Seng Lim4, Sarah E Coupland5,6, Anita Sook Yee Chan1,7.   

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.
Copyright © 2021 Wang, Chen, Lynn, Figueiredo, Tan, Lim, Coupland and Chan.

Entities:  

Keywords:  CellSearch; DEPArray NxT technology; FFPE; circulating tumor cells; melanoma prognostication; melanoma surveillance; single-cell analysis; uveal melanoma

Year:  2021        PMID: 33585560      PMCID: PMC7874218          DOI: 10.3389/fmolb.2020.611584

Source DB:  PubMed          Journal:  Front Mol Biosci        ISSN: 2296-889X


  94 in total

1.  Single-cell MYD88 sequencing of isolated B cells from vitreous biopsies aids vitreoretinal lymphoma diagnosis.

Authors:  Wei Jian Tan; Mona Meng Wang; Paola Ricciardi-Castagnoli; Tiffany Tang; Soon Phaik Chee; Tong Seng Lim; Anita Sook Yee Chan
Journal:  Blood       Date:  2019-07-10       Impact factor: 22.113

2.  Tyrosinase mRNA levels in the blood of uveal melanoma patients: correlation with the number of circulating tumor cells and tumor progression.

Authors:  Pamela Pinzani; Cinzia Mazzini; Francesca Salvianti; Daniela Massi; Raffaella Grifoni; Costanza Paoletti; Francesca Ucci; Elena Molinara; Claudio Orlando; Mario Pazzagli; Bruno Neri
Journal:  Melanoma Res       Date:  2010-08       Impact factor: 3.599

Review 3.  Biological and therapeutic impact of intratumor heterogeneity in cancer evolution.

Authors:  Nicholas McGranahan; Charles Swanton
Journal:  Cancer Cell       Date:  2015-01-12       Impact factor: 31.743

Review 4.  Circulating tumor cells: a review of present methods and the need to identify heterogeneous phenotypes.

Authors:  Lori M Millner; Mark W Linder; Roland Valdes
Journal:  Ann Clin Lab Sci       Date:  2013       Impact factor: 1.256

5.  Tumor doubling times in metastatic malignant melanoma of the uvea: tumor progression before and after treatment.

Authors:  S Eskelin; S Pyrhönen; P Summanen; M Hahka-Kemppinen; T Kivelä
Journal:  Ophthalmology       Date:  2000-08       Impact factor: 12.079

Review 6.  Targeted agents and immunotherapies: optimizing outcomes in melanoma.

Authors:  Jason J Luke; Keith T Flaherty; Antoni Ribas; Georgina V Long
Journal:  Nat Rev Clin Oncol       Date:  2017-04-04       Impact factor: 66.675

7.  Single-Cell Transcriptomics of Pancreatic Cancer Precursors Demonstrates Epithelial and Microenvironmental Heterogeneity as an Early Event in Neoplastic Progression.

Authors:  Vincent Bernard; Alexander Semaan; Jonathan Huang; F Anthony San Lucas; Feven C Mulu; Bret M Stephens; Paola A Guerrero; Yanqing Huang; Jun Zhao; Nabiollah Kamyabi; Subrata Sen; Paul A Scheet; Cullen M Taniguchi; Michael P Kim; Ching-Wei Tzeng; Matthew H Katz; Aatur D Singhi; Anirban Maitra; Hector A Alvarez
Journal:  Clin Cancer Res       Date:  2018-11-01       Impact factor: 12.531

8.  Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma.

Authors:  A Gordon Robertson; Juliann Shih; Christina Yau; Ewan A Gibb; Junna Oba; Karen L Mungall; Julian M Hess; Vladislav Uzunangelov; Vonn Walter; Ludmila Danilova; Tara M Lichtenberg; Melanie Kucherlapati; Patrick K Kimes; Ming Tang; Alexander Penson; Ozgun Babur; Rehan Akbani; Christopher A Bristow; Katherine A Hoadley; Lisa Iype; Matthew T Chang; Andrew D Cherniack; Christopher Benz; Gordon B Mills; Roel G W Verhaak; Klaus G Griewank; Ina Felau; Jean C Zenklusen; Jeffrey E Gershenwald; Lynn Schoenfield; Alexander J Lazar; Mohamed H Abdel-Rahman; Sergio Roman-Roman; Marc-Henri Stern; Colleen M Cebulla; Michelle D Williams; Martine J Jager; Sarah E Coupland; Bita Esmaeli; Cyriac Kandoth; Scott E Woodman
Journal:  Cancer Cell       Date:  2017-08-14       Impact factor: 31.743

9.  Next-generation sequencing of RNA and DNA isolated from paired fresh-frozen and formalin-fixed paraffin-embedded samples of human cancer and normal tissue.

Authors:  Jakob Hedegaard; Kasper Thorsen; Mette Katrine Lund; Anne-Mette K Hein; Stephen Jacques Hamilton-Dutoit; Søren Vang; Iver Nordentoft; Karin Birkenkamp-Demtröder; Mogens Kruhøffer; Henrik Hager; Bjarne Knudsen; Claus Lindbjerg Andersen; Karina Dalsgaard Sørensen; Jakob Skou Pedersen; Torben Falck Ørntoft; Lars Dyrskjøt
Journal:  PLoS One       Date:  2014-05-30       Impact factor: 3.240

10.  Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression.

Authors:  Henry Loeffler-Wirth; Hans Binder; Edith Willscher; Tobias Gerber; Manfred Kunz
Journal:  Biology (Basel)       Date:  2018-04-03
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