山东大学耳鼻喉眼学报 ›› 2025, Vol. 39 ›› Issue (6): 97-107.doi: 10.6040/j.issn.1673-3770.0.2024.149

• 论著 • 上一篇    

自噬相关LncRNA是头颈部鳞状细胞癌的预后指标

盘琳琳1,万佳明2,李越3,何龙1   

  1. 1.广州市第一人民医院 耳鼻咽喉头颈外科, 广东 广州 510180;
    2.广州市第一人民医院 泌尿外科, 广东 广州 510180;
    3.中山大学第三附属医院 耳鼻咽喉头颈外科, 广东 广州 510630
  • 发布日期:2025-11-19
  • 通讯作者: 何龙. E-mail:eyhelong@scut.edu.cn
  • 基金资助:
    国家自然科学基金(82301283)

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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摘要： 目的 探究长链非编码RNA(long non-coding RNA, LncRNA)对头颈部鳞状细胞癌(head and neck squamous cell carcinoma, HNSCC)患者预后的影响,探索HNSCC的自噬预后相关LncRNA及其功能。 方法 从人类自噬数据库(human autophagy database, HADb)、癌症基因组图谱(cancer genome atlas, TCGA)下载自噬相关基因及HNSCC患者数据。经Pearson相关分析、Cox回归分析等筛选HNSCC的自噬预后相关LncRNA,进行功能富集分析并构建风险模型。根据中位风险评分将患者分为高危组和低危组,比较两组生存时间。利用受试者工作特征(receiver operating characteristic, ROC)曲线评估风险模型对HNSCC预后的预测能力,探索其临床价值,最后进行验证。 结果 共筛选出910个HNSCC的自噬相关LncRNA,再次筛选发现有7个自噬预后相关LncRNA为HNSCC的独立预后因子,分别为AL357033.4、AL160006.1、AC069360.1、AL132712.1、AC245041.2、LINC00707和AC082651.3,建立风险模型。高危组生存时间低于低危组,风险模型的HR为1.470(P<0.001)。ROC曲线中风险模型的AUC为0.736,优于其他临床特征。风险评分与AJCC分期(P<0.001)、pT分期(P=0.043)、pN分期(P=0.002)相关性有统计学意义。GSEA结果提示高风险组和低风险组生存时间的差异可能是由风险模型诱导的不同免疫状态引起的。 结论 此风险模型可以有效预测HNSCC预后,从而在HNSCC的发生发展中发挥关键作用。

关键词: 癌症基因组图谱, 自噬, 头颈部鳞状细胞癌, 长链非编码RNA, 生物信息学

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

中图分类号: 

  • R764.21
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