Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer

Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer

BackgroundCell death plays an essential role in carcinogenesis, but its function in the recurrence and postoperative prognosis of head and neck cancer (HNC), which ranks as the 7th most common malignancy globally, remains unclear.MethodsData from five main subtypes of HNC related single-cell RNA se...

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Bibliographic Details
Main Authors: Yue Pan, Lei Fei, Shihua Wang, Hua Chen, Changqing Jiang, Hong Li, Changsong Wang, Yao Yang, Qinggao Zhang, Yongwen Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Immunology
Subjects:
HNC
cell death
machine learning
risk score
spatial transcriptomics
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1487966/full
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