Machine learning-based identification of a consensus immune-derived gene signature to improve head and neck squamous cell carcinoma therapy and outcome

• Asıl Yazarlar: Xueying Hu (Yazar), Haiqun Dong (Yazar), Wen Qin (Yazar), Ying Bin (Yazar), Wenhua Huang (Yazar), Min Kang (Yazar), Rensheng Wang (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: Frontiers Media S.A., 2024-04-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

BackgroundHead and neck squamous cell carcinoma (HNSCC), an extremely aggressive tumor, is often associated with poor outcomes. The standard anatomy-based tumor-node-metastasis staging system does not satisfy the requirements for screening treatment-sensitive patients. Thus, an ideal biomarker leadi...