长非编码 RNA 作为头颈部鳞状细胞癌潜在的诊断生物标志物：系统评价和荟萃分析。

Long non-coding RNA as a potential diagnostic biomarker in head and neck squamous cell carcinoma: A systematic review and meta-analysis.

机构信息

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

PLoS One. 2023 Sep 21;18(9):e0291921. doi: 10.1371/journal.pone.0291921. eCollection 2023.

BACKGROUND

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

背景

头颈部鳞状细胞癌（HNSCC）是一组起源于头颈部上皮的恶性肿瘤。尽管在治疗方面做出了努力，但结果仍不尽如人意，死亡率较高。由于 HNSCC 具有较高的侵袭性和转移性，因此早期诊断具有重要的临床意义。本系统评价和荟萃分析评估了长链非编码 RNA（lncRNA）在 HNSCC 患者中的诊断准确性。

方法

使用 MeSH 术语和自由关键词“长链非编码 RNA”和“头颈部鳞状细胞癌”及其扩展，在 PubMed、ISI、SCOPUS 和 EMBASE 中搜索截至 2023 年 4 月发表的原始出版物。对于报告特异性和敏感性的研究，使用 Reitsma 双变量随机效应模型汇总诊断测试性能；使用逆方差法的随机效应模型对所有试验的诊断 AUC 值进行荟萃分析。

结果

最初的数据库搜索产生了 3209 篇文章，有 25 项研究符合我们的标准。lncRNA 诊断 HNSCC 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）。所有标本类型的汇总 AUC 值为 0.83。使用逆方差法，71 个个体 lncRNA 的汇总 AUC 值为 0.77（95%CI：0.74-0.79）。有 5 项研究报道了 MALAT1 lncRNA 的诊断准确性，汇总 AUC 值为 0.83（95%CI：0.73-0.94）。