LASSO logistic regression reveals a mixed MiRNA and serum-marker classifier for prediction of immunotherapy response in liquid biopsies of melanoma patients

LASSO logistic regression reveals a mixed MiRNA and serum-marker classifier for prediction of immunotherapy response in liquid biopsies of melanoma patients

Introduction: Cutaneous malignant melanoma suffers from the highest metastasis rate and mortality among different skin cancer entities. However, with emerging immune checkpoint inhibitor (ICI) therapy, prognosis has significantly improved over the last years. To better assess treatment response stab...

Full description

Saved in:
Bibliographic Details
Main Authors: Marc Bender, I.-Peng Chen, Leonie Bluhm, Peter Mohr, Beate Volkmer, Rüdiger Greinert
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:EJC Skin Cancer
Subjects:
Skin cancer
Melanoma
Liquid biopsies
Machine learning
Immunotherapy
Online Access:http://www.sciencedirect.com/science/article/pii/S2772611824002489
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2772611824002489

Similar Items