Mathematical Models for Carcinogenesis Based on the Evidence of Molecular Biology and Its Application to Data Analysis

基于分子生物学证据的致癌数学模型及其在数据分析中的应用

• 批准号: 14380123
• 负责人: OHTAKI Megu
• 金额: $ 3.01万
• 依托单位: HIROSHIMA UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2002
• 资助国家: 日本
• 起止时间: 2002 至 2004
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14380123/
• 关键词: Multi-target model; Apoptsis; Individual difference; Dose-response; Age-dependency; Genomic instabnility; 発がん過程; 多段階モデル; 遺伝的不安定性伝説; 揺らぎ; 遺伝的不安定性仮説

We developed multistage models of carcinogenesis and cell death with taking account the effect of genomic instability. As for Armitage-Doll type of multistage models for carcinogenesis, some Monte Carlo simulations on the relationship between the number of stages and mutation rate were done. Using the follow-up data among atomic-bomb survivors and offspring, we examined the property of the models.The classical multi-target models have been also considered for use in analyzing data of the dose-response relationship. We tried to make some extended models. The target sizes we are concerned with are heterogeneous as simplified using geometric progression. We apply two models for establishing the multi-target models: a Poisson regression model constructed by assuming that the response variable follows Poisson distribution, and a gamma-frailty model as a Poisson mixture model derived by adding random common risks having a gamma distribution.Based on the theoretical results of our study, we developed several computer programs for analyzing dose-response data, and applied them to many sort of real data sets related to animal experiments, clinical researches and epidemiological studies including atomic bomb survivor's cohort data.

考虑到基因组不稳定性的影响，我们建立了癌症发生和细胞死亡的多阶段模型。对于Armitage-Doll类型的多阶段致癌模型，对阶段数与突变率之间的关系进行了蒙特卡罗模拟。使用原子弹幸存者和子代的跟踪数据，我们检验了模型的性质，经典的多目标模型也被考虑用于分析剂量-反应关系的数据。我们试着做了一些加长型。我们关注的目标大小是不同的，使用几何级数进行简化。我们应用两种模型来建立多目标模型：假设反应变量服从泊松分布而构建的泊松回归模型和通过添加具有伽马分布的随机公共风险而得到的泊松混合模型。基于本研究的理论结果，我们开发了几个用于分析剂量-反应数据的计算机程序，并将它们应用于包括原子弹幸存者队列数据在内的动物实验、临床研究和流行病学研究的各种真实数据集。

项目成果

Apparent diffusion coefficient of human brain tumors at MR imaging

• DOI: 10.1148/radiol.2353031338
• 发表时间: 2005-06-01
• 期刊: RADIOLOGY
• 影响因子: 19.7
• 作者: Yamasaki, F;Kurisu, K;Thohar, MA
• 通讯作者: Thohar, MA

Comparison of Properties of Spontaneous and Radiation-Induced Mouse Thymic Lymphomas: Role of Trp53 and Radiation

• DOI: 10.1667/rr3303
• 发表时间: 2005-02
• 作者: T. Kubota;Yoshihiro Yoshikai;Y. Tamura;Y. Mishima;Y. Aoyagi;O. Niwa;R. Kominami

Multi-target models and their application to data analysis of cellular mortality due to radiation exposure.

多目标模型及其在辐射暴露引起的细胞死亡率数据分析中的应用。

• 发表时间: 2005
• 期刊: Hiroshima Journal of Medical Sciences 54
• 作者: Zhunag;JC;Vere-Jones;D;Guan;H;Ogata;Y;Ma;L;M Ohtaki;Koichi Ito;竹内 啓;Hasegawa Nobuko;I-M Arcana
• 通讯作者: I-M Arcana

順序カテゴリーデータに対する解析手法、解析システム及び解析プログラム

序数分类数据的分析方法、分析系统和分析程序

• 发表时间: 2004

Excess concordance of cancer incidence and lifestyles in married couples (Japan): survival analysis of paired rate data

• DOI: 10.1023/b:caco.0000036162.86921.09
• 发表时间: 2004-08-01
• 期刊: CANCER CAUSES & CONTROL
• 影响因子: 2.3
• 作者: Izumi, S;Imai, K;Nakachi, K
• 通讯作者: Nakachi, K