肺癌诊断相关miRNA标志物的筛选和验证

目的 获得肺癌组织和正常肺部组织中差异表达的miRNA用于肺癌的早期诊断.方法 首先运用miRNA芯片比较5对来自临床的正常肺部组织和肺癌组织,筛选差异性表达的miRNA,然后用荧光实时定量PCR进行鉴定.最后用ROC曲线分析评价特定miRNA标志物区分肺癌组织与正常肺部组织的能力.结果 miR-10b-5p和miR-199a-5p在肺癌组织中的相对表达量(2.76±0.71;2.05±0.38)显著高于肺部正常组织中的相对表达量(1.00±0.17;0.96±0.18),差异有统计学意义(t=2.40、2.56,P＜0.05).ROC曲线评价miR-10b-5p和miR-199a-5p区分肺癌组织和肺部正常组织的能力,曲线下面积(AUC)分别为0.731和0.672.两个miRNA联合区分肺癌组织和肺部正常组织的AUC为0.773,灵敏度为57.9％,特异性为94.7％.结论 miR-10b-5p和miR-199a-5p联合可作为候选肿瘤标志物组合用于早期肺癌诊断.

Screening and validation of miRNAs as biomarkers for diagnosis of lung cancers

Objective To identify the aberrant miRNAs from cancerous and normal tissues as biomarkers for early diagnosis of lung cancer.Methods A total of 10 snap-freeze lung tissue specimens with paired normal and cancer were surgically collected and compared by miRNA chips.The aberrant miRNAs were screened and then validated by real-time PCR following the standard protocol.Receiver operating characteristic (ROC) curve analysis was used to assess the performance of miRNAs as biomarkers to distinguish normal and cancerous tissues.Results miR-10b-5p and miR-199a-5p were identified with more significant expression levels in patients with lung cancer(2.76±0.71;2.05±0.38) than normal ones (1.00 ±0.17;0.96 ±0.18),the difference had statistical significance (t =2.40,2.56,P＜0.05).The area under the curve (AUC) of miR-10b-5p and miR-199a-5p were 0.731 and 0.672 respectively in detecting the cancer patients.The multiplexed miRNAs demonstrated a strong discriminative power with an AUC of 0.773 (sensitivity=57.9％,specificity=94.7％).Conclusions The combination of miR-10b-5p and miR-199a-5p might be potential biomarkers for diagnosis of lung cancer.