A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis

This molecular subtyping framework provides valuable insights for patient stratification and personalized therapeutic strategies in HNSCC, potentially improving clinical outcomes through precise treatment selection.

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Publication Details

Journal
Discover Oncology
Published
2025-04-07
DOI
https://doi.org/10.1007/s12672-025-02257-0
Citations
2
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
3.04
Controls
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article

A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis

Wantao Chen, Xutengyue Tian, Miaomiao Lu, Xinyu Liu et al.
2 citations
Discover Oncology
Lung Cancer Treatments and Mutations
3.04
article

A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis

Wantao Chen, Xutengyue Tian, Miaomiao Lu, Xinyu Liu, Yujun Liu, Xin Zou, Yue Xi
article en
2 citations

Abstract

This molecular subtyping framework provides valuable insights for patient stratification and personalized therapeutic strategies in HNSCC, potentially improving clinical outcomes through precise treatment selection.

Discover OncologyVol. 16(1)
Binzhou Medical University (CN), Shandong University of Aeronautics (CN), Shanghai Jiao Tong University (CN), Capital Medical University (CN), XinHua Hospital (CN), Fudan University Shanghai Cancer Center (CN), Beijing Obstetrics and Gynecology Hospital (CN)
Good health and well-being
Openalex Percentile: Top 10%
Lung Cancer Treatments and Mutations
3.04
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A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis — Wantao Chen, Xutengyue Tian, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS