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Pyroptosis-Related Signature and Tumor Microenvironment Infiltration Characterization in Head and Neck Squamous Cell
Zeng-Hong Wu1, Bian Wu2, Cheng Li3
1Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Frontiers in Cell and Developmental Biology
|June 17, 2022
Summary
This study introduces a new PyroptosisScore to assess cell death patterns in head and neck squamous cell carcinoma (HNSCC). The score helps identify potential biomarkers for predicting patient prognosis and guiding treatment.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Head and neck squamous cell carcinoma (HNSCC) is a significant global health challenge.
- Limited research exists on pyroptosis-related genes (PRGs) and lncRNAs in HNSCC.
- Understanding pyroptosis in HNSCC is crucial for developing new therapeutic strategies.
Purpose of the Study:
- To systematically evaluate the role of PRGs and lncRNAs in HNSCC.
- To assess the association between pyroptosis and tumor microenvironment characteristics.
- To develop a scoring system for quantifying pyroptosis dysfunction in HNSCC patients.
Main Methods:
- Integrated genomic data analysis of HNSCC.
- Assessed copy number variations (CNVs) and mutation frequencies of PRGs.
- Constructed a PyroptosisScore based on phenotypic-related genes.
- Identified differentially expressed lncRNAs using multivariate Cox analysis.
Main Results:
- CNV alterations were common in 33 PRGs, with CASP8 showing the highest mutation frequency.
- A novel PyroptosisScore was developed to quantify pyroptosis patterns.
- Lower PyroptosisScore correlated with higher tumor mutational burden (TMB), with TP53 and TTN as key mutated genes.
- 14 pyroptosis-related lncRNAs were identified as independent prognostic factors for HNSCC.
Conclusions:
- Pyroptosis features and tumor microenvironment mechanisms in HNSCC were elucidated.
- The PyroptosisScore and identified lncRNAs may serve as novel biomarkers.
- This research aids in predicting prognosis, clinical diagnosis, and management of HNSCC patients.
