Publication
A machine learning-derived intratumoral heterogeneity-related signature predicts the prognosis for and therapeutic response in patients with skin cutaneous melanoma.
Feng Ding, Wei Tian, Sarina Bai, Hongmei Jia, Ziying Zhang, Yuchen Jia, Fangxin Zhao, Xingxia Hao, Bing Yi, Lili Niu, Shaojie Zhang
- Source
- PubMed
- Retrieved
- Sep 15, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260915-000001
Abstract
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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…
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- cancerCutaneous Melanomadictionary0.60
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