头颈部鳞状细胞癌(HNSCC)是一类起源于头颈部上皮的恶性肿瘤。尽管治疗方面做出了努力，但治疗结果仍然不尽如人意，死亡率较高。HNSCC的早期诊断具有临床重要性，因为其侵袭和转移率较高。本系统综述和荟萃分析评估了lncRNA在HNSCC患者中的诊断准确性。我们使用MeSH词汇和自由关键词"长链非编码RNA"和"头颈部鳞状细胞癌"及其扩展来搜索截至2023年4月的原始出版物，包括PubMed、ISI、SCOPUS和EMBASE库。Reitsma二元随机效应模型综合分析了报道了特异性和敏感性的研究的诊断测试表现；从所有试验中，使用反方差方法和随机效应模型对诊断AUC值进行了荟萃分析。最初的数据库搜索返回了3209篇文章，符合我们标准的有25个研究。对于lncRNA在HNSCC诊断中的累积敏感性和特异性分别为0.74 (95%CI: 0.68-0.7)和0.79 (95%CI: 0.74-0.83)。所有样本类型的累积AUC值为0.83。使用反方差方法，71种单个lncRNA的累积AUC为0.77 (95%CI: 0.74-0.79)。有五个研究报告了MALAT1 lncRNA的诊断准确性，其累积AUC值为0.83 (95%CI: 0.73-0.94)。LncRNA可以作为HNSCC的诊断生物标志物，但需要进一步研究来验证临床疗效并阐明机制。高通量测序和生物信息学应用于确定表达谱。版权：©2023 Masrour等。本文为开放获取文章，遵循创作共享署名许可协议，允许任意使用、分发和复制，前提是保留原作者和出处的署名。

Head and neck squamous cell carcinoma (HNSCC) is a group of malignancies arising from the epithelium of the head and neck. Despite efforts in treatment, results have remained unsatisfactory, and the death rate is high. Early diagnosis of HNSCC has clinical importance due to its high rates of invasion and metastasis. This systematic review and meta-analysis evaluated the diagnostic accuracy of lncRNAs in HNSCC patients.PubMed, ISI, SCOPUS, and EMBASE were searched for original publications published till April 2023 using MeSH terms and free keywords "long non-coding RNA" and "head and neck squamous cell carcinoma" and their expansions. The Reitsma bivariate random effect model pooled diagnostic test performance for studies that reported specificity and sensitivity; diagnostic AUC values from all trials were meta-analyzed using the random effects model with the inverse variance method.The initial database search yielded 3209 articles, and 25 studies met our criteria. The cumulative sensitivity and specificity for lncRNAs in the diagnosis of HNSCC were 0.74 (95%CI: 0.68-0.7 (and 0.79 (95%CI: 0.74-0.83), respectively. The pooled AUC value for all specimen types was found to be 0.83. Using the inverse variance method, 71 individual lncRNAs yielded a pooled AUC of 0.77 (95%CI: 0.74-0.79). Five studies reported on the diagnostic accuracy of the MALAT1 lncRNA with a pooled AUC value of 0.83 (95%CI: 0.73-0.94).LncRNAs could be used as diagnostic biomarkers for HNSCC, but further investigation is needed to validate clinical efficacy and elucidate mechanisms. High-throughput sequencing and bioinformatics should be used to ascertain expression profiles.Copyright: © 2023 Masrour et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.