Establishment of cDNA array-based predictive diagnostics of cancer for personalized medicine

建立基于 cDNA 阵列的癌症预测诊断以实现个性化医疗

• 批准号: 15390368
• 负责人: TADA Mitsuhiro
• 金额: $ 7.94万
• 依托单位: HOKKAIDO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2004
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15390368/
• 关键词: cDNA array data; expression profile; human cancer; malignant character; personalized medicine

This project aimed to establish a predictive method of cDNA array-based prediction of malignant characters of cancers for personalized treatment for patients. We collected frozen cancer tissue samples surgically reseated in 31 hospitals in Hokkaido prefecture and analyzed the mRNA expression profiles with cDNA array analysis. By using of a novel computer algorithm which efficiently select features (gene expressions) that were significantly correlated with malignant characters of cancers, we explored functional significance of the gene expressions and established an effective method of personalization.1)We could collect more than 5,800 cases of cancer samples and the pertinent clinicopathological data.2)Among them, 600 cases were analyzed with cDNA array.3)We developed a new method of feature subset selection utilizing k-nearest neighbor as an assessment function, a method of ensemble machine learning combining probabilistic neural networks.4)By applying this method, we could effectively predict lymph node metastasis of colorectal cancers, lung cancers and esophageal cancers, short term survival of patients with pancreatic cancers, long-term survival of gastric caner patients, and perineural invasion of bile-duct cancers, histological malignancy of breast cancers and liver cancers. These have been reported in academic meetings and published in international journals.

本课题旨在建立一种基于cDNA芯片的肿瘤恶性特征预测方法，为患者提供个性化治疗。我们收集了北海道地区31家医院手术后重新接种的冷冻癌组织样本，并使用cDNA阵列分析法分析了mRNA表达谱。通过使用一种新的计算机算法，本研究通过对与肿瘤恶性程度相关的基因表达的研究，探索基因表达的功能意义，建立了一种有效的个体化方法。1）我们可以收集5,800多例肿瘤标本和相关的临床病理资料。2）其中，采用概率神经网络与集成机器学习相结合的方法，提出了一种以k-近邻为评价函数的特征子集选择方法。4）应用该方法，可以有效地预测结直肠癌、肺癌和食管癌的淋巴结转移，胰腺癌患者的短期存活率、胃癌患者的长期存活率以及胆管癌的神经周围浸润、乳腺癌和肝癌的组织学恶性度。这些研究成果已在学术会议上报告，并在国际期刊上发表。

项目成果

Epigenetic silencing of E- and P-cadherin gene expression in human melanoma cell lines.

• DOI: 10.3892/ijo.25.5.1415
• 发表时间: 2004-11
• 期刊: International journal of oncology
• 影响因子: 5.2
• 作者: A. Tsutsumida;J. Hamada;M. Tada;T. Aoyama;K. Furuuchi;Y. Kawai;Yuhei Yamamoto;T. Sugihara;T. Moriuchi

Expression profiles of 39 HOX genes in normal human adult organs and anaplastic thyroid cancer cell lines by quantitative real-time RT-PCR system

• DOI: 10.1016/j.yexcr.2003.09.024
• 发表时间: 2004-02-01
• 期刊: EXPERIMENTAL CELL RESEARCH
• 影响因子: 3.7
• 作者: Takahashi, Y;Hamada, J;Moriuchi, T
• 通讯作者: Moriuchi, T

Hirai A, et al.: "Expression of AIE-75 PDZ-domain Protein Induces G2/M Cell Cycle Arrest in Human Colorectal Adenocarcinoma SW480 Cells"Cancer Letters. (in press). (2004)

Hirai A 等人：“AIE-75 PDZ 结构域蛋白的表达诱导人结直肠腺癌 SW480 细胞中的 G2/M 细胞周期停滞”癌症快报。

Prediction of lymph node metastasis and perineural invasion of biliary tract cancer by selected features from cDNA array data

• DOI: 10.1016/j.jss.2004.06.003
• 发表时间: 2004-12-01
• 期刊: JOURNAL OF SURGICAL RESEARCH
• 影响因子: 2.2
• 作者: Murakawa, K;Tada, M;Moriuchi, T
• 通讯作者: Moriuchi, T

Prediction of lymphatic invasion/lymph node metastasis, recurrence and survival in patients with gastric cancer by cDNA array-based expression profiling.

通过基于 cDNA 阵列的表达谱预测胃癌患者的淋巴侵袭/淋巴结转移、复发和生存。

• 发表时间: 2005
• 期刊: Journal of Surgical Research 124
• 作者: Teramoto K;et al.
• 通讯作者: et al.