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A microarray-based gastric carcinoma prewarning system.

机译:基于微阵列的胃癌预警系统。

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AIM: To develop a microarray-based prewarning system consisting of gastric cancer chip, prewarning data and analysis software for early detection of gastric cancer and pre-cancerous lesions. METHODS: Two high-density chips with 8 464 human cDNA sites were used to primarily identify potential genes specific for normal gastric mucosa, pre-cancerous lesion and gastric cancer. The low-density chips, composed of selected genes associated with normal gastric mucosa, precancerous lesion and gastric cancer, were fabricated and used to screen 150 specimens including 60 specimens of gastric cancer, 60 of pre-cancerous tissues and 30 of normal gastric mucosa. CAD software was used to screen out the relevant genes and their critical threshold values of expression levels distinguishing normal mucosa from pre-cancerous lesion and cancer. All data were stored in a computer database to establish a prewarning data library for gastric cancer. Two potential markers brcaa1 and ndr1 were identified by Western blot and immunohistochemistry. RESULTS: A total of 412 genes associated with three stages of gastric cancer development were identified. There were 216 genes displaying higher expression in gastric cancer, 85 genes displaying higher expression in pre-cancerous lesion and 88 genes displaying higher expression in normal gastric mucosa. Also 15 genes associated with metastasis of gastric cancer and 8 genes associated with risk factors were screened out for target genes of diagnosis chip of early gastric cancer. The threshold values of 412 selected genes to distinguish gastric cancer, pre-cancerous lesion from normal gastric mucosa were defined as 6.01+/-2.40, 4.86+/-1.94 and 5.42+/-2.17, respectively. These selected 412 genes and critical threshold values were compiled into an analysis software, which can automatically provide reports by analyzing the results of 412 genes obtained by examining gastric tissues. All data were compiled into a prewarning database for gastric cancer by CGO software. Northern blot and immunohistochemistry analysis confirmed that gene and protein of brcaa1 displayed lower expression in normal gastric mucosa and higher expression in gastric cancer tissues, conversely, ndr1 displayed lower expression in gastric cancer and higher expression in normal gastric mucosa. CONCLUSION: The microarray-based prewarning system for gastric cancer was developed. This system consisted of gastric cancer-associated gene chip, prewarning data and analysis software, which has a high potential for applications in the early detection of gastric cancer. The two potential markers brcaa1 and ndr1 identified may be used to distinguish cancer status fand non-cancer status.
机译:目的:开发一种基于微阵列的预警系统,该系统由胃癌芯片,预警数据和分析软件组成,用于早期发现胃癌和癌前病变。方法:使用两个具有8464个人类cDNA位点的高密度芯片,主要鉴定正常胃黏膜,癌前病变和胃癌的潜在基因。制作了由与正常胃粘膜,癌前病变和胃癌相关的选定基因组成的低密度芯片,用于筛选150份标本,包括60份胃癌,60份癌前组织和30份正常胃粘膜。使用CAD软件筛选出相关基因及其关键表达水平阈值,以区分正常粘膜与癌前病变和癌症。所有数据都存储在计算机数据库中,以建立胃癌预警数据库。通过蛋白质印迹和免疫组织化学鉴定了两个潜在的标记brcaa1和ndr1。结果:共鉴定了与胃癌发展的三个阶段相关的412个基因。在胃癌中有216个基因表达较高,在癌前病变中有85个基因表达较高,在正常胃粘膜中有88个基因表达较高。筛选出与胃癌转移相关的15个基因和与危险因素相关的8个基因,作为早期胃癌诊断芯片的靶基因。区分胃癌,癌前病变和正常胃粘膜的412种选择基因的阈值分别定义为6.01 +/- 2.40、4.86 +/- 1.94和5.42 +/- 2.17。将这些选定的412个基因和临界阈值编译到一个分析软件中,该软件可以通过分析通过检查胃组织获得的412个基因的结果来自动提供报告。通过CGO软件将所有数据汇编到胃癌预警数据库中。 Northern印迹和免疫组织化学分析证实,brcaa1的基因和蛋白在正常胃粘膜中表达较低,在胃癌组织中较高表达,相反,ndr1在胃癌中表达较低,在正常胃粘膜中较高。结论:开发了基于微阵列的胃癌预警系统。该系统由胃癌相关基因芯片,预警数据和分析软件组成,在胃癌的早期发现中具有很高的应用潜力。确定的两个潜在标记brcaa1和ndr1可用于区分癌症状态和非癌症状态。

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