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A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma
Published on: January 5, 2017
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Identification and validation of a novel risk model based on cuproptosis‑associated m6A for head and neck squamous
Zhongxu Xing1, Yijun Xu1, Xiaoyan Xu1
1Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China.
BMC Medical Genomics
|May 22, 2024
Summary
A novel risk model using 32 m6A regulators and cuproptosis-related mRNAs (mcrmRNA) effectively predicts head and neck squamous cell carcinoma (HNSCC) patient outcomes and aids personalized therapy. This model offers insights into tumor mutation burden and immune microenvironment.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Head and neck squamous cell carcinoma (HNSCC) presents poor survival rates due to anatomical challenges and lack of reliable biomarkers.
- Cuproptosis, a novel regulated cell death pathway, and N6-methyladenosine (m6A) RNA modification are implicated in cancer development and prognosis.
- The intricate relationship between m6A regulators and cuproptosis in HNSCC warrants further investigation for biomarker development.
Purpose of the Study:
- To develop a predictive risk model for HNSCC using messenger RNAs (mRNAs) associated with m6A regulators and cuproptosis genes (mcrmRNA).
- To evaluate the model's efficacy in predicting patient prognosis and its correlation with tumor characteristics and the immune microenvironment.
Main Methods:
- Utilized RNA-sequencing and clinical data from The Cancer Genome Atlas (TCGA) for HNSCC patients.
- Employed Least Absolute Shrinkage and Selection Operator (LASSO) analysis to construct the risk model.
- Validated the model using the GSE41613 dataset and performed Gene Set Enrichment Analysis (GSEA) and CIBERSORT for immune microenvironment assessment.
Main Results:
- A 32-mcrmRNA signature was identified as an independent prognostic indicator for HNSCC via multivariate Cox analysis.
- The high-risk group demonstrated increased tumor mutation burden and distinct immune cell infiltration patterns compared to the low-risk group.
- Significant differences in drug sensitivity, metabolic pathways, and RNA processing were observed between risk groups.
Conclusions:
- The developed mcrmRNA risk model accurately predicts HNSCC patient outcomes.
- This model provides valuable insights for developing personalized therapeutic strategies for HNSCC patients.
Keywords:
CuproptosisHead and neck squamous cell carcinomaPrognosisRNA methylation regulationRisk modelMore Related Videos
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