目的:系统性评价循环长链非编码RNA(lncRNA)MALAT-1在肺癌综合诊断中的价值。方法:检索PubMed、EM-base、EBSCO、CNKI、万方等数据库收集相关文献,提取资料及评价纳入研究的文献质量;通过双变量Meta分析模型合并诊断效应量,绘制综合受...目的:系统性评价循环长链非编码RNA(lncRNA)MALAT-1在肺癌综合诊断中的价值。方法:检索PubMed、EM-base、EBSCO、CNKI、万方等数据库收集相关文献,提取资料及评价纳入研究的文献质量;通过双变量Meta分析模型合并诊断效应量,绘制综合受试者工作特征(SROC)曲线;采用敏感性分析、Meta回归分析探讨异质性来源,并通过Deeks’漏斗图评估发表偏倚。利用Z检验比较组间合并曲线下面积(AUC)的差异。结果:共纳入符合标准的研究5项,含433例肺癌患者和384例对照者。循环MALAT-1诊断肺癌的合并灵敏度为0.71(95%CI:0.67～0.74),特异度为0.82(95%CI:0.79～0.84),AUC为0.89。基于病理类型的亚组分析显示,MALAT-1检测非小细胞肺癌(NSCLC)整体合并的AUC为0.91,且在肺鳞癌中的诊断效能优于腺癌(AUC:0.93 vs. 0.84;Z=1.97,P <0.05);基于血清的MALAT-1检测综合诊断效能高于血浆(AUC:0.94 vs. 0.88;Z=8.96,P <0.01);按人群分析显示,MALAT-1在黄种和白种人群中的效能无显著差异(AUC:0.89 vs. 0.82;Z=1.11,P> 0.05)。Deeks’漏斗图分析提示研究间不存在发表偏倚(P=0.865)。结论:MALAT-1在肺癌中具有较高的综合诊断效能,可作为NSCLC尤其是肺鳞癌诊断较好的辅助指标之一。展开更多
Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides mostly transcribed by RNA which do not encode proteins. Previously, lncRNAs were considered transcriptional byproducts called “junk DNA” wit...Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides mostly transcribed by RNA which do not encode proteins. Previously, lncRNAs were considered transcriptional byproducts called “junk DNA” with no biological functions. There are many studies conducted on lncRNAs showing they are actively involved in regulation of epigenetic, transcriptional, and post-transcriptional events. Expressions of lncRNAs are more different in many malignant tumors than in benign tumors and normal tissue. Aberration of lncRNAs is responsible to promote or suppress tumorigenesis and cancer progression. Under different circumstances, lncRNAs exhibit their roles in carcinogenesis such as MALAT1 is responsible for intervening mRNA instability, HOTAIR, MALAT1, ANRIL, PVT1 links with miRNA and histonemodifying complexes, MEG3 associates with miRNA, CCAT2, MEG3, GAS5, UCA1 allies with c-Myc or P53 causing suppression of tumor or oncogenesis. Abnormal expressions of lncRNAs are noticed in gynecological cancers, such as cervical cancer, ovarian cancer, and endometrial cancer. Identification of cervical cancer associated lncRNAs is necessary to understand the molecular biogenesis of cancers. In this review, we summarized the foundation and function of the lncRNAs in terms of tumor progression, invasion, prognosis, apoptosis, metastasis, and chemo-resistance. This review will provide references to determine the clinical applications of lncRNAs as ideal diagnostic biomarkers or therapeutic targets in cervical cancers.展开更多
文摘目的:系统性评价循环长链非编码RNA(lncRNA)MALAT-1在肺癌综合诊断中的价值。方法:检索PubMed、EM-base、EBSCO、CNKI、万方等数据库收集相关文献,提取资料及评价纳入研究的文献质量;通过双变量Meta分析模型合并诊断效应量,绘制综合受试者工作特征(SROC)曲线;采用敏感性分析、Meta回归分析探讨异质性来源,并通过Deeks’漏斗图评估发表偏倚。利用Z检验比较组间合并曲线下面积(AUC)的差异。结果:共纳入符合标准的研究5项,含433例肺癌患者和384例对照者。循环MALAT-1诊断肺癌的合并灵敏度为0.71(95%CI:0.67～0.74),特异度为0.82(95%CI:0.79～0.84),AUC为0.89。基于病理类型的亚组分析显示,MALAT-1检测非小细胞肺癌(NSCLC)整体合并的AUC为0.91,且在肺鳞癌中的诊断效能优于腺癌(AUC:0.93 vs. 0.84;Z=1.97,P <0.05);基于血清的MALAT-1检测综合诊断效能高于血浆(AUC:0.94 vs. 0.88;Z=8.96,P <0.01);按人群分析显示,MALAT-1在黄种和白种人群中的效能无显著差异(AUC:0.89 vs. 0.82;Z=1.11,P> 0.05)。Deeks’漏斗图分析提示研究间不存在发表偏倚(P=0.865)。结论:MALAT-1在肺癌中具有较高的综合诊断效能,可作为NSCLC尤其是肺鳞癌诊断较好的辅助指标之一。
文摘Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides mostly transcribed by RNA which do not encode proteins. Previously, lncRNAs were considered transcriptional byproducts called “junk DNA” with no biological functions. There are many studies conducted on lncRNAs showing they are actively involved in regulation of epigenetic, transcriptional, and post-transcriptional events. Expressions of lncRNAs are more different in many malignant tumors than in benign tumors and normal tissue. Aberration of lncRNAs is responsible to promote or suppress tumorigenesis and cancer progression. Under different circumstances, lncRNAs exhibit their roles in carcinogenesis such as MALAT1 is responsible for intervening mRNA instability, HOTAIR, MALAT1, ANRIL, PVT1 links with miRNA and histonemodifying complexes, MEG3 associates with miRNA, CCAT2, MEG3, GAS5, UCA1 allies with c-Myc or P53 causing suppression of tumor or oncogenesis. Abnormal expressions of lncRNAs are noticed in gynecological cancers, such as cervical cancer, ovarian cancer, and endometrial cancer. Identification of cervical cancer associated lncRNAs is necessary to understand the molecular biogenesis of cancers. In this review, we summarized the foundation and function of the lncRNAs in terms of tumor progression, invasion, prognosis, apoptosis, metastasis, and chemo-resistance. This review will provide references to determine the clinical applications of lncRNAs as ideal diagnostic biomarkers or therapeutic targets in cervical cancers.
