| Yuxue Wei,Hua Yang,Xiaoqiu Liu. Diagnostic value of LncRNAs as a potential biomarker for oral squamous cell carcinoma diagnosis: a meta-analysis for oral squamous cell carcinoma diagnosis: a meta-analysis. Oncol Transl Med, 2021, 7: 123-129. |
| LncRNAs作为口腔鳞状细胞癌诊断的潜在生物标志物的诊断价值：荟萃分析 |
| Diagnostic value of LncRNAs as a potential biomarker for oral squamous cell carcinoma diagnosis: a meta-analysis for oral squamous cell carcinoma diagnosis: a meta-analysis |
| Received:March 24, 2021 Revised:June 16, 2021 |
| DOI：10.1007/s10330-021-0486-6 |
| 中文关键词: LncRNA；口腔鳞状细胞癌；诊断； Meta分析 |
| 英文关键词: lncRNA; oral squamous cell carcinoma; diagnosis; meta-analysis |
| 基金项目: |
| Author Name | Affiliation | E-mail | | Yuxue Wei | People''s Hospital of Lanling County | yuxuewei1990@gmail.com | | Hua Yang | People''s Hospital of Lanling County | | | Xiaoqiu Liu* | Department of Stomatology, People''s Hospital of Lanling County, Linyi 276000, China | liuxq6399@163.com |
|
| Hits: 5994 |
| Download times: 6458 |
| 中文摘要: |
| 目的：越来越多的研究表明，长链非编码RNA（lncRNA）可以作为生物标志物在口腔鳞状细胞癌（OSCC）的诊断中发挥重要作用。因此，我们对此进行了这项荟萃分析，总结lncRNA在OSCC作为生物标志物的可能性。
材料和方法：在PubMed，Cochrane图书馆，Web of Science和中国知网（CNKI）数据库进行检索，发表的文献截止日期为2020年12月10日。研究质量通过“诊断准确性研究的质量评估2”进行评估。 （QUADAS-2），并使用双变量荟萃分析模型汇总了lncRNA在OSCC诊断中的敏感性，特异性和其他指标。所有分析均使用STATA 14.0软件进行。
结果：这篇分析共纳入8项研究，共981例病例和585例对照。合并的灵敏度，特异度，阳性似然比（PLR），阴性似然比（NLR），诊断比值比（DOR）和曲线下面积（AUC）如下：0.76（95％CI = 0.65-0.84），0.90 （95％CI = 0.82-0.95），7.5（95％CI = 4.20-13.40），0.27（95％CI = 0.18-0.39），28（95％CI = 13.00-58.00），0.90（95％CI = 0.87） -0.93）。此外，Deeks的漏斗图不对称测试（P = 0.56）表明没有潜在的发表偏倚。
结论：我们的荟萃分析结果表明，lncRNAs可能是OSCC的潜在且非侵入性的诊断工具。 |
| 英文摘要: |
| Objective Several studies have revealed the critical role of long non-coding RNAs (lncRNAs) as
biomarkers for diagnosing oral squamous cell carcinoma (OSCC). However, the data remain inconsistent.
This meta-analysis was performed to summarize the potential of lncRNAs as OSCC biomarkers.
Methods We searched PubMed, Cochrane Library, Web of Science, and China National Knowledge
Infrastructure databases for literature published until December 10, 2020. Study quality was assessed
using Quality Assessment for Studies of Diagnostic Accuracy-2, and sensitivity, specificity, and other
measures regarding lncRNAs for OSCC diagnosis were pooled using bivariate meta-analysis models. Data
analyses were performed using STATA 14.0.
Results Overall, 8 studies with 981 cases and 585 controls were included in the pooled analysis. The
pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and
area under the receiver operating characteristic curve values were as follows: 0.76 [95% confidence
interval (CI), 0.65–0.84], 0.90 (95% CI, 0.82–0.95), 7.5 (95% CI, 4.20–13.40), 0.27 (95% CI, 0.18–0.39),
28 (95% CI, 13.00–58.00), 0.90 (95% CI, 0.87–0.93), respectively. Deeks’ funnel plot asymmetry test (P =
0.56) indicated no potential publication bias.
Conclusion Our meta-analytical evidence suggests that lncRNAs could be employed as a potential noninvasive diagnostic tool for OSCC. |
|
View Full Text
Download reader HTML全文 |
| Close |
|
|
|