Open access
Jul 2026
A machine learning-derived intratumoral heterogeneity-related signature predicts the prognosis for and therapeutic response in patients with skin cutaneous melanoma
Background Reliable biomarkers for predicting prognosis and therapeutic response in skin cutaneous melanoma (SKCM) remain limited. This study aimed to develop an intratumoral heterogeneity (ITH)-related prognostic signature for SKCM using integrative machine learning. Methods RNA sequencing (RNA-seq) data from 472 SKCM...
Feng-Ling Ding, Wei Tian, Sarina Bai et al.
· Translational Cancer Researc... · 0 citations