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Abstract：
Prostate cancer (PCa) is a malignant disease influencing numerous men worldwide every year. However, the exact pathogenesis and the genes, environment, and other factors involved have not been explained clearly. Some studies have proposed that cell signaling pathways might play a key role in the development and progression of PCa. According to our previous study, the RTK/ERK pathway containing nearly 40 genes was associated with PCa risk. On the basis of these genes, we conducted a meta-analysis with our own Chinese Consortium for Prostate Cancer Genetics (ChinaPCa) study and available studies in the databases to describe the association between the pathway and PCa on the SNP level. The results suggested that rs4764695/IGF1 (recessive model: pooled OR=0.92, 95%CI=0.852-0.994, P=0.034; I(2)=0%, P=0.042; allele analysis: pooled OR=0.915, 95%CI=0.874-0.958, P=0; I(2)=0%, P=0.424; codominant model: OR=0.835, 95%CI=0.762-0.916, P=0; I(2)=0%, P=0.684) and rs1570360/VEGF (recessive model: OR=0.596, 95%CI=0.421-0.843, P=0.003; I(2)=23.9%, P=0.269; codominant model: OR=0.576, 95%CI=0.404-0.820, P=0.002; I(2)=49.1%, P=0.140) were significantly associated with PCa. In subgroup analysis, the relationship was also found in Caucasians for IGF1 (dominant model: OR=0.834, 95%CI=0.769-0.904, P=0; allele analysis: OR=0.908, 95%CI=0.863-0.955, P=0; AA vs CC: OR=0.829, 95%CI=0.750-0.916, P=0; AC vs CC: OR=0.837, 95%CI=0.768-0.912, P=0). In addition, in Asians (allele analysis: OR=0.21, 95%CI=0.168-0.262, P=0) and Caucasians (recessive model: OR=0.453, 95%CI: 0.240-0.855, P=0.015; codominant model: OR=0.464, 95%CI=0.240-0.898, P=0.023) for VEGF, the association was significant. The results indicated that rs4764695/IGF1 and rs1570360/VEGF might play a key role in the development and progression of PCa. On the SNP level, we suggest that the study gives us a new view of gene-pathway analysis and targeted therapy for PCa.
摘要：
前列腺癌（PCa）是一种恶性疾病，每年影响全世界许多男性。然而,确切的发病机制和基因，环境,所涉及的其他因素尚未解释清楚。一些研究表明，细胞信号通路可能在PCa的发生发展中起关键作用。根据我们之前的研究,包含近40个基因的RTK/ERK通路与PCa风险相关.基于这些基因，我们利用我们自己的中国前列腺癌遗传学联合会(ChinaPCa)研究和数据库中的现有研究进行了荟萃分析,以描述该通路与PCa在SNP水平上的关联.结果提示rs4764695/IGF1(隐性模型:合并OR=0.92,95CI=0.852-0.994,P=0.034;I(2)=0%,P=0.042；等位基因分析：合并OR=0.915，95CI=0.874-0.958，P=0；I（2）=0％，P=0.424;共显性模型:OR=0.835,95CI=0.762-0.916,P=0;I(2)=0%,P=0.684）和rs1570360/VEGF（隐性模型：OR=0.596，95CI=0.421-0.843，P=0.003；I（2）=23.9%，P=0.269；共显性模型：OR=0.576，95CI=0.404-0.820，P=0.002；I（2）=49.1%，P=0.140）与PCa显著相关。在亚组分析中，IGF1在白种人中也发现了这种关系(显性模型:OR=0.834,95CI=0.769-0.904,P=0;等位基因分析:OR=0.908,95CI=0.863-0.955,P=0;AAvsCC:OR=0.829,95CI=0.750-0.916,P=0;ACvsCC:OR=0.837,95CI=0.768-0.912,P=0,此外,在亚洲人（等位基因分析：OR=0.21，95CI=0.168-0.262，P=0）和高加索人（隐性模型：OR=0.453，95CI：0.240-0.855，P=0.015；显性模型：OR=0.464，95CI=0.240-0.898，P=0.023）中，协会意义重大。结果表明，rs4764695/IGF1和rs1570360/VEGF可能在PCa的发生发展中起关键作用。在SNP层面，我们建议这项研究为PCa的基因通路分析和靶向治疗提供了新的视角.
