1. The Bioinformatics System for the Research of Interleukin 1 Gene Polymorphisms and Related Factors in Gastric Cancers Kuan-Liang Kuo, MD 1, 2 ( Email: d93009@csie.ntu.edu.tw ) Hsi-Chang Lee, MMS 3 Chiou-Shann Fuh, PhD 2 1 Family Medicine Department, Ren-Ai Branch, Taipei City Hospital, Taipei, Taiwan 2 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan 3 Gastroenterology Department, Ren-Ai Branch, Taipei City Hospital, Taipei, Taiwan 2008 American Medical Informatics Association Spring Congress

2.  Multiple factors, include Interleukin-1 gene polymorphisms, Helicobacter pylori infection, and endocrines, are thought to be related to gastric disorders.  As the diversity of etiologies, the research in this domain is multidisciplinary. We propose the bioinformatics system to assist the researchers to cooperate in the storing and analyzing of multitudinous genetic and clinical data. 2008 American Medical Informatics Association Spring Congress Introduction System Framework Web Server Database Database Tools Intelligent Components Clustering Rule Base Maintenance Query FIS Clinical Components CDSS Alert System FIS: Fuzzy Inference System CDSS: Clinical Decision Support System

3. 2008 American Medical Informatics Association Spring Congress Clinical Research  Model of Gastric Cancer  Intestinal type: chronic gastritis -> chronic atrophic gastritis -> intestinal metaplasia -> dysplasia -> cancer  Diffuse type: chronic gastritis -> cancer  Inflammation is the key to the development of gastric cancer.  Interleukin (IL) 1 β plays an important role in initiating and amplifying the inflammatory response to H. pylori infection.  Materials and Methods  Histological finding from biopsy specimens  Helicobacter pylori  Updated Sydney System (diagnosis)  Expression of IL-1β Receptor (immunoreactive score)  DNA from Peripheral Blood Samples  IL-1 Polymorphisms (IL-1B-31, IL-1B- 511, IL-1RN)  Result of Clinical Research  Gender and age differences exist in gastric inflammation after H. pylori infection.

4. Summary of Conclusion 2008 American Medical Informatics Association Spring Congress Male Female Age < 50Age > 50 0.0 0.2 0.4 0.6 0.8 1.0  System and information qualities are confirmed by system accuracy, flexibility, reliability, and informativeness. Use and user satisfaction are evaluated by number of use, number of records, software satisfaction, and decision-making satisfaction. The results revealed mostly positive response.  Further Perspective:  Whether IL-1 receptor expression is different between female and male  Correlate IL-1 receptor expression and gastric inflammation  Whether different IL-1 receptor expressions are related to gene or to gender only.  In vitro studies of estrogen effect on gastric epithelial cells. H. pylori (+)Number of patients Mean of inflammation score (antrum) Male, Age<50 3000.49 Female, Age<50 3140.37 Male, Age ≧ 50 2520.93 Female, Age ≧ 50 2290.91