Machine learning-based prognostic modeling integrating PANoptosis in head and neck squamous cell carcinoma

Machine learning-based prognostic modeling integrating PANoptosis in head and neck squamous cell carcinoma

Abstract Background Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous and aggressive cancer, posing challenges for prognosis and treatment. The role of PANoptosis in HNSCC remains unclear, despite its potential impact on the tumor immune microenvironment. Methods We obtained th...

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Bibliographic Details
Main Authors: Chen Li, Jiajing Lu, Jialin Zhu, Tao Zhou, Qijie Shen, Bikun Huang, Qingsong Li
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Oncology
Subjects:
HNSCC
PANoptosis
Prognostic model
GSTO1
Machine learning
Tumor immune microenvironment
Online Access:https://doi.org/10.1007/s12672-025-02310-y
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https://doi.org/10.1007/s12672-025-02310-y

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