Identification and Verification of a Prognostic Risk Signature in Oral Squamous Cell Carcinoma
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals that mTORC1 signaling is a key factor in oral squamous cell carcinoma (OSCC) prognosis. A new six-gene model accurately predicts patient survival, aiding in OSCC outcome assessment.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Oral squamous cell carcinoma (OSCC) is a significant global health concern.
- Understanding molecular drivers is crucial for improving patient outcomes.
Purpose Of The Study
- Investigate the role of mTORC1 signaling in OSCC.
- Develop a prognostic model for OSCC patients.
Main Methods
- Utilized single-sample gene set enrichment analysis (ssGSEA) and univariate Cox regression.
- Applied weighted gene co-expression network analysis (WGCNA) on TCGA transcriptomic data.
- Constructed and validated a six-gene prognostic model using multifactorial Cox regression.
Main Results
- Identified a strong correlation between mTORC1 signaling, glycolysis, and hypoxia in OSCC prognosis.
- mTORC1 signaling was a significant negative prognostic factor for patient survival.
- Developed a six-gene risk score model for quantitative survival probability prediction, noting TP53 mutations in the high-risk group.
Conclusions
- mTORC1 signaling plays a critical role in OSCC prognosis.
- The developed prognostic model offers a robust tool for predicting patient outcomes in OSCC.
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