HIF-1A基因表达折叠作为乳腺癌不同临床病理状态预后指标的受体工作特征分析

H. H. Kzar, Haider O. Mossa Al-Gazali, M. Al-Gazally, M. Wtwt
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摘要

背景与目的:乳腺癌(BC)是世界范围内女性发病率和死亡率最高的癌症类型。BC的死亡病例可能是由于治疗和早期发现的益处不足,以及缺乏适当的诊断和发现设施造成的。这项工作的目的是评估使用HIF-1A mRNA GEF的ROC作为BC的预后指标。方法:分别从BC组(n=120)和对照组(n=120)女性全血中提取总RNA,转化为cDNA。采用实时定量聚合酶链反应(qRT-PCR)扩增HIF-1A基因(目标基因GOI-1)和GAPDH(管家基因HKG)。采用Excel软件QI Macros进行ROC分析。使用Microsoft excel 2010制作图表。结果:本研究结果显示,BC女性GER(4.58)与对照组GER(1.03)差异有统计学意义(p值< 0.05)。HIF-1A mRNA的GEF作为BC组女性预后标志物的ROC曲线分析显示,曲线下面积(AUC)为(0.833)(95% CI, 0.76-0.90),在截断值20.5时敏感性为(82%),特异性为(63%)。结论:HIF-1A mRNA GEF是诊断和鉴别转移性和非转移性BC的良好预后指标。
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Receiver Operating Characteristic Analysis Of HIF-1A Mrna Gene Expression Fold As Prognostic Indicator In Different Clinic-Pathological Status Of Breast Cancer -
Background and objective: The highly prevalent and mortality type of cancer among women worldwide is breast cancer (BC). The mortality cases of BC are probably incidence by inadequate of the benefits of treatment and early detection, moreover the lack of appropriate facilities for diagnosis and detection. The aim of this work is to assess of using of ROC of HIF-1A mRNA GEF as a prognostic indicator in BC. Methods: The Total RNA was extracted from whole blood of both women with BC (n=120) and control (n=120) groups, then converted to cDNA. Amplification of HIF-1A gene (gene of interest, GOI-1) and GAPDH (as housekeeping gene, HKG) were done by quantitative real time polymerase chain reaction (qRT-PCR). ROC analysis was done by using QI Macros for Excel software. Graphs were prepared using Microsoft excel 2010. Results: The results of present study suggested that significant differences between the GER in women with BC (4.58) and GER in control group ( 1.03) (p-value< 0.05). The ROC curve analysis of GEF of HIF-1A mRNA as prognostic marker in women with BC group showed an area under the curve (AUC) of (0.833)(95% CI, 0.76-0.90) with a sensitivity of (82%) and specificity of (63%) at a cut off value 20.5. Conclusion: HIF-1A mRNA GEF is good prognostic indicator for diagnosis and differentiation between both metastasis and non- metastasis BC groups.
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