Assessing the diagnostic utility of tRNA-derived fragments as biomarkers of head and neck cancer
- 1Department of Otolaryngology-Head and Neck Surgery, University of California, San Diego, La Jolla, CA 92093, United States; Research Service, VA San Diego Healthcare System, San Diego, CA 92161, United States; Stanford University School of Medicine, Stanford, CA 94305, United States.
- 2Department of Otolaryngology-Head and Neck Surgery, University of California, San Diego, La Jolla, CA 92093, United States; Research Service, VA San Diego Healthcare System, San Diego, CA 92161, United States.
- 0Department of Otolaryngology-Head and Neck Surgery, University of California, San Diego, La Jolla, CA 92093, United States; Research Service, VA San Diego Healthcare System, San Diego, CA 92161, United States; Stanford University School of Medicine, Stanford, CA 94305, United States.
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View abstract on PubMed
Summary
This summary is machine-generated.Transfer RNA-derived fragments (tRFs) show potential as head and neck cancer biomarkers. While diagnostic models had limited accuracy, specific tRFs correlated with oncogene expression, suggesting a role in translational regulation.
Area Of Science
- Oncology
- Molecular Biology
- Biomarker Discovery
Background
- Head and neck cancers affect approximately 54,000 individuals annually in the US.
- Transfer RNA-derived fragments (tRFs) are emerging as potential biomarkers for various cancers.
- The diagnostic and mechanistic utility of tRFs in head and neck cancer requires further investigation.
Purpose Of The Study
- To evaluate the diagnostic performance of tRFs as biomarkers for head and neck cancer.
- To explore the role of tRFs in the translational regulation of oncogenes and tumor suppressor genes in head and neck cancer.
Main Methods
- tRF read counts were analyzed from 453 tumor and 44 adjacent normal head and neck tissue samples.
- A gradient boosting diagnostic model was constructed using tRF expression data.
- Correlation analysis was performed between dysregulated tRFs and the expression of key oncogenes/tumor suppressor genes.
Main Results
- 129 significantly dysregulated tRFs were identified between tumor and normal tissues.
- The diagnostic model achieved 69% sensitivity and 59% specificity.
- Upregulated tRFs (e.g., CysGCA 5'-half, LysCTT 3'-tRF) correlated with decreased expression of PIK3R1, AKT1, and CPEB3, suggesting mRNA degradation.
Conclusions
- While specific tRFs show correlations with oncogenic pathways in head and neck cancer, their current diagnostic performance is insufficient.
- tRFs may play a role in translational regulation through mRNA degradation in head and neck tumors.
- Further research is necessary to establish the clinical utility of tRFs for improving diagnosis, treatment, and patient survival.
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