基于整合显著功能簇和推断分析的早期结直肠癌（CRC）中FOS增殖网络构建
FOS proliferating network construction in early colorectal cancer (CRC) based on integrative significant function cluster and inferring analysis.
作者信息
Wang Lin, Sun Ying, Jiang Minghu, Zhang Shen, Wolfl Stefan
机构信息
Center for Biomedical Engineering, Beijing University of Posts and Telecommunications, China.
出版信息
Cancer Invest. 2009 Oct;27(8):816-24. doi: 10.1080/07357900802672753.
The aim is to setup single distinguished molecular network. We constructed FOS proliferating network from 22 colorectal samples of the same GEO dataset by GRNInfer tool and DAVID based on linear programming and a decomposition procedure with integrated Kappa statistics and fuzzy heuristic clustering. In the control, we found no proliferating subnetwork. In CRC, we identified one FOS proliferating module (SFRP2, ADAMTS1, SYNPO2, VIP, ADAM33 inhibition to FOS and MGP, FOSB activation to FOS. FOS activation to IGFBP5, LGI1, GAS1 and FOS inhibition to VIP). These results may be useful for developing novel prognostic markers and therapeutic targets in CRC.
目的是建立单一独特的分子网络。我们通过GRNInfer工具和DAVID，基于线性规划以及结合卡帕统计和模糊启发式聚类的分解程序，从同一GEO数据集中的22个结肠直肠癌样本构建了FOS增殖网络。在对照组中，我们未发现增殖子网。在结直肠癌中，我们鉴定出一个FOS增殖模块（SFRP2、ADAMTS1、SYNPO2、VIP、ADAM33对FOS的抑制以及MGP、FOSB对FOS的激活。FOS对IGFBP5、LGI1、GAS1的激活以及FOS对VIP的抑制）。这些结果可能有助于开发结直肠癌新的预后标志物和治疗靶点。
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