Wang Lin, Huang Juxiang, Jiang Minghu, Zheng Xiguang
Biomedical Center, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Tumour Biol. 2010 Oct;31(5):417-25. doi: 10.1007/s13277-010-0050-8. Epub 2010 Jun 8.
Alpha-fetoprotein (AFP) computational secreted network construction and analysis of human hepatocellular carcinoma (HCC) is very useful to identify novel markers and potential targets for prognosis and therapy. By integration of gene regulatory network infer and the database for annotation, visualization, and integrated discovery, we identified and constructed significant molecule AFP secreted network from 25 no-tumor hepatitis/cirrhotic liver tissues and 25 HCC patients in the same GEO Dataset GSE10140-10141. Our result verified AFP secreted module in the upstream of no-tumor hepatitis/cirrhotic liver tissues (AMELY, LCN2, and REG3A activation; DKK1, SFRP4, and SPINK1 inhibition) and its downstream (PRSS1, REG3A, and TSHB activation; AMELY and DKK1 inhibition), and also in the upstream of HCC (LCN2, REG3A, and SFRP4 activation; AMELY and DKK1 inhibition) and its downstream (AMELY activation; DKK1, LCN2, PRSS1, SEMA3B, and SPINK1 inhibition). Importantly, we data-mined that AFP secreted cluster of HCC is involved in disease mutation (only in HCC terms) without cell surface receptor linked signal transduction, neuroactive ligand-receptor interaction, cell-cell signaling, and pancreas (only in no-tumor hepatitis/cirrhotic liver tissues terms), the condition which is vital to invasion of HCC. Our result demonstrated that common terms in both no-tumor hepatitis/cirrhotic liver tissues and HCC include secreted extracellular region, extracellular region part, extracellular space, signal peptide, signal, disulfide bond, glycosylation site N-linked (GlcNAc...), and glycoprotein, and these terms are less relative to invasion; therefore, we deduced the weaker AFP secreted network in HCC consistent with our number computation. We predicted AFP high expression localization within cells of HCC and without secretion to extracellular matrix. It would be necessary of AFP secreted function to decrease invasion of HCC.
甲胎蛋白(AFP)计算分泌网络的构建与人类肝细胞癌(HCC)分析对于识别新的预后和治疗标志物及潜在靶点非常有用。通过整合基因调控网络推断以及注释、可视化和综合发现数据库,我们在同一基因表达综合数据库GSE10140 - 10141中,从25例非肿瘤性肝炎/肝硬化肝组织和25例肝癌患者中识别并构建了重要分子AFP分泌网络。我们的结果验证了非肿瘤性肝炎/肝硬化肝组织上游的AFP分泌模块(AMELY、LCN2和REG3A激活;DKK1、SFRP4和SPINK1抑制)及其下游(PRSS1、REG3A和TSHB激活;AMELY和DKK1抑制),以及肝癌上游(LCN2、REG3A和SFRP4激活;AMELY和DKK1抑制)及其下游(AMELY激活;DKK1、LCN2、PRSS1、SEMA3B和SPINK1抑制)。重要的是,我们通过数据挖掘发现,肝癌的AFP分泌簇参与疾病突变(仅在肝癌方面),无细胞表面受体连接信号转导、神经活性配体 - 受体相互作用、细胞间信号传导,以及胰腺(仅在非肿瘤性肝炎/肝硬化肝组织方面),这种情况对肝癌侵袭至关重要。我们的结果表明,非肿瘤性肝炎/肝硬化肝组织和肝癌中的共同术语包括分泌的细胞外区域、细胞外区域部分、细胞外空间、信号肽、信号、二硫键、N - 连接糖基化位点(GlcNAc...)和糖蛋白,并且这些术语与侵袭的相关性较小;因此,我们推断肝癌中AFP分泌网络较弱,这与我们的数值计算结果一致。我们预测AFP在肝癌细胞内高表达且不分泌到细胞外基质。降低AFP分泌功能对于减少肝癌侵袭是必要的。