肿瘤相关生物学通路的发现和建模

Identification,modeling and simulation of key pathways underlying certain cancers

肿瘤是一种严重影响人类健康和生命的复杂疾病。某些生物学通路在肿瘤的发生、发展和转移的过程中发挥了关键作用,如何发现和研究肿瘤相关通路是人们面临的一大挑战。随着以基因芯片数据为代表的海量实验数据的产出,很多研究小组提出了一系列算法和模型通过整合和分析实验数据,鉴定和模拟肿瘤相关的生物学通路,发现了很多重要的生物学结论。文章对这些研究工作进行了综述,给出了一些常用的算法、软件和数据库资源,并讨论了该领域存在的问题和以后的发展方向。

Cancer is a complex disease which greatly affects the human health.It has been widely reported that certain biologcial pathways play important roles in the process of tumorigenesis,tumor progression and metastasis.Identification and simulation of these pathways can help to understand the underlying mechanisms.With the deposition of huge amount of microarray data,many groups have developed a series of algorithms and models to analyze the microarray datasets for the identification and simulation of tumor related pathways.In this paper,firstly we review the recent development of these algorithms and models;then list the related software and data sources;and finally discuss the existence problems and per-spectives in this field.