Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2025, Vol. 39 ›› Issue (6): 97-107.doi: 10.6040/j.issn.1673-3770.0.2024.149

• Original Article • Previous Articles    

Autophagy-related long noncoding RNA is a prognostic indicator for head and neck squamous cell carcinoma

PAN Linlin1, WAN Jiaming2, LI Yue3, HE Long1   

  1. 1. Department of Otorhinolaryngology & Head and Neck Surgery, Guangzhou First People's Hospital, Guangzhou 510180, Guangdong, China2. Department of Urology, Guangzhou First People's Hospital, Guangzhou 510180, Guangdong, China3. Department of Otorhinolaryngology & Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, Guangdong, China
  • Published:2025-11-19

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Abstract: Objective To investigate the potential relationship between autophagy-associated long non-coding RNA(LncRNA)and prognosis in patients with head and neck squamous cell carcinoma(HNSCC)and to explore autophagy-related prognostic LncRNA in HNSCC and their functions. Methods Data on autophagy-related genes and HNSCC patients were downloaded from the Human Autophagy Database(HADb)and The Cancer Genome Atlas(TCGA). Autophagy-related prognostic LncRNAs for HNSCC were screened using Pearson correlation analysis and Cox regression analysis. Functional enrichment analysis was conducted and a risk model was constructed. The patients were divided into high- and low-risk groups based on the median risk score, and the survival times of the two groups were compared. The predictive ability of the risk model for the prognosis of HNSCC was evaluated using Receiver Operating Characteristic(ROC)curves, and its clinical value was explored. Finally, validation was performed. Results A total of 910 autophagy-related LncRNA for HNSCC were initially selected, and 7 autophagy-related prognostic LncRNA were identified as independent prognostic factors for HNSCC, namely AL357033.4, AL160006.1, AC069360.1, AL132712.1, AC245041.2, LINC00707, and AC082651.3, and a risk model was established. The survival time of the high-risk group was significantly lower than that of the low-risk group, with the HR of the risk model being 1.470(P<0.001). The AUC of the risk model in the ROC curve was 0.736, which was superior to other clinical characteristics. The risk score was significantly associated with the AJCC, pT, and pN stage(P<0.001, P<0.043, P<0.002, respectively). The results of GSEA indicated that the significant difference in survival time between the high-risk and low-risk groups may be due to different immune states induced by the risk model. Conclusion The risk model predicts the prognosis of HNSCC, indicating a potential key role for this feature in the occurrence and development of HNSCC.

Key words: The cancer genome atlas, Autophagy, Head and neck squamous cell carcinoma, Long non-coding RNA, Bioinformatics

CLC Number: 

  • R764.21
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