Analysis of novel Hedgehog inhibitors for esophageal cancer

食管癌新型 Hedgehog 抑制剂分析

• 批准号: 23591924
• 负责人: FUKAYA MASAHIDE
• 金额: $ 3.33万
• 依托单位: Nagoya University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011 至 2013
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23591924/
• 关键词: 食道癌; Hedgehog; 相互マシンラーニング法

Several chemical compounds were identified for cancer therapy using the machine learning method. These compounds inhibited the proliferation and induced the cell death in cancer cell lines. The chemical compound suppressed the tumor growth in the xenograft mouse mode. As the tumor did not grow up in the femoral region of nude mouse, in vivo cell strain was not established from the esophagus cancer tissue. We challenged the establishment of in vivo cell strain using other cancer cell lines. However it was not able to establish using even pancreatic cancer. In the collaborative institute, in vivo cell strain was established in SCID mouse using the colon cancer tissue. Furthermore, DNA array revealed the expression of lincRNA (long intergenic noncoding RNA) in the mouse tumor treated by chemical compound. This data suggested that lincRNA was related to the mechanism of the chemical compound.

使用机器学习方法确定了几种用于癌症治疗的化合物。这些化合物抑制了癌细胞的增殖并诱导了细胞死亡。该化合物对小鼠移植瘤有明显的抑制作用。由于肿瘤不生长在裸鼠的股骨区，因此未从食道癌组织中建立体内细胞株。我们对使用其他癌细胞系建立体内细胞株提出了挑战。然而，即使使用胰腺癌也无法确定这一点。在合作研究所，利用结肠癌组织在SCID小鼠体内建立了细胞株。此外，DNA阵列显示化合物处理的小鼠肿瘤组织中有lincRNA(长基因间非编码RNA)的表达。提示lincRNA与该化合物的作用机制有关。