Development of a survival prediction model for gastric cancer using serine proteases and their inhibitors
Development of a survival prediction model for gastric cancer using serine proteases and their inhibitors
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使用丝氨酸蛋白酶及其抑制剂开发胃癌生存预测模型。
DOI：
10.3892/etm.2011.353
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发表时间：
2012-01-01
影响因子：
2.7
通讯作者：
Zhu, Zheng-Gang
中科院分区：
文献类型：
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作者：
Lei, Ke-Feng;Liu, Bing-Ya;Zhu, Zheng-Gang
蛋白水解酶在胃癌的转移过程中起着关键作用。在这项研究中，我们的目的是确定丝氨酸蛋白酶（SP）及其抑制剂（丝氨酸蛋白酶抑制剂）作为相关的GC。应用基因芯片技术对40例胃癌组织进行基因表达谱的初步检测。用实时荧光定量PCR方法对芯片中差异表达的SPs及其抑制基因进行验证。在具有完整数据的患者中确认的基因的免疫组化染色的状态被用于开发生存预测模型。最后，在不同的GC患者组中对预测模型进行了测试。因此，7个基因，SERPINB 5，KLK 10，KLK 11，HPN，SPINK 1，SERPINA 5和PRSS 8，被认为是GC进展相关基因。建立了一个包括三个基因免疫组化评分和肿瘤淋巴结转移（TNM）评分的生存预测模型：生存时间（月）= 88.8607 + 2.6395 SERPINB 5 - 12.0772 KLK 10 + 13.7562 KLK 11 - 7.0318 TNM。总之，SERPINB 5、KLK 10、KLK 11、HPN、SPINK 1、SERPINA 5和PRSS 8是GC进展相关的SP或serpin基因。该模型由从微阵列研究中提取的三个基因的表达谱组成，并伴有TNM评分，可准确预测GC患者的手术相关生存率。
Proteolytic enzymes play a key role in the metastatic stage of gastric cancer (GC). In this study, we aimed to identify the serine proteases (SPs) and their inhibitors (serpins) as related to GC. The gene expression profiles of 40 cases of GC were initially detected by cDNA microarray. The results of the differentially expressed SPs and their inhibitor genes from the microarrays were confirmed by real-time PCR. The status of the immunohistochemical staining of the confirmed genes in patients with complete data was used to develop a survival prediction model. Finally, the prediction model was tested in different groups of GC patients. As a result, seven genes, SERPINB5, KLK10, KLK11, HPN, SPINK1, SERPINA5 and PRSS8, were considered as GC progression-related genes. A survival prediction model including the immunohistochemical scores of three genes and the tumor node metastasis (TNM) score was developed: Survival time (months) = 88.8607 + 2.6395 SERPINB5 - 12.0772 KLK10 + 13.7562 KLK11 - 7.0318 TNM. In conclusion, SERPINB5, KLK10, KLK11, HPN, SPINK1, SERPINA5 and PRSS8 were GC progression-related SPs or serpin genes. The model consisting of the expression profiles of three genes extracted from the microarray study accompanied by the TNM score accurately predicts surgery-related survival of GC patients.