An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma

An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma

Background: Despite advances in uveal melanoma (UM) diagnosis and treatment, about 50% of patients develop distant metastases, thereby displaying poor overall survival. Molecular profiling has identified several genetic alterations that can stratify patients with UM into different risk categories. H...

Full description

Saved in:
Bibliographic Details
Main Authors: Michele Massimino, Elena Tirrò, Stefania Stella, Cristina Tomarchio, Sebastiano Di Bella, Silvia Rita Vitale, Chiara Conti, Marialuisa Puglisi, Rosa Maria Di Crescenzo, Silvia Varricchio, Francesco Merolla, Giuseppe Broggi, Federica Martorana, Alice Turdo, Miriam Gaggianesi, Livia Manzella, Andrea Russo, Giorgio Stassi, Rosario Caltabiano, Stefania Staibano, Paolo Vigneri
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomolecules
Subjects:
molecular profiling
TCGA
uveal melanoma
NGS
Online Access:https://www.mdpi.com/2218-273X/15/1/146
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2218-273X/15/1/146

Similar Items