According to statistics, the rate of having cancer is relatively high for people in developing and developed countries. So cancer can be called as the enemy of human health. With the destruction of ecological environment and with the change of life style and diet, the rate of having cancer during the life of a general individual is one and a quarter and grows continuously by year. Thus, it is important to study the cause of cancer. However, while biomedical researchers search and retrieve biomedical literature, there is a problem of information overloading. Therefore, to survey thousands and hundreds of biomedical literatures by manual browsing is time wasting and difficult to make sure whether required information can be found. Besides, artificial inattention may lead to incorrect analysis information. The purpose of this study is to develop an integrated system for collecting and mining cancer-related gene. This system uses PubMed search engine of NCBI to search and retrieve biomedical literature and sequence of cancer-related gene. Users can combine cancer name and LOH (Loss Of Heterozygosity), or cancer name and CGH (Comparative Genomic Hybridization) to search, retrieve, collect, classify, and extract the biomedical literatures. The system provided by this study can extract important information to accelerate the study and save plenty of time for biomedical researchers. Besides, this system can also be used on other diseases.
