一個能找出影響乳癌臨床特徵基因的資料庫

GECB: Gene Expression with Clinical information on Breast cancer

蘇芳慶(Fang-Cing Su)

指導教授 ： 洪炯宗

國立中央大學/資訊電機學院/資訊工程學系/碩士(2008年)

摘要

由於乳癌發病時在臨床上會有一些不同的特徵，而且各特徵之間又彷彿存在著某些特定的關係。又，自從生物晶片問世以來，因為它的基因表現量有著高產能的特性，所以一般常被用於基因的探測或發掘上。根據以上觀點，若能將病人依臨床上發病特徵的不同分兩群，透過生物晶片的實驗，收集各病人的基因表現量，再輔以電腦的統計與分析能力，或許就能找出一些表現量上有明顯差異的基因，而這些表現量上有明顯差異的基因可能就是影響乳癌發病時，臨床特徵不同的基因。
所以我們就根據以上的結論，收集了所有跟乳癌病人相關的基因表現量和臨床特徵的資料，和一些常用的計算基因表現量的正規化和差異化的統計方法，建了一個資料庫，以便分析看是不是有某些臨床特徵和某些基因有特定的關係。

關鍵字

乳癌 ； 資料庫 ； 臨床特徵

並列摘要

There are many clinical characteristics on breast cancer, and some of them may have relationships. Besides, microarray, key tool for high throughput genomic analysis, is the common method to find or detect genes (1). If we can divide the patients into two groups according to their clinical characteristics and collect their gene expressions, we may find some differentially expressed genes. Maybe theses differentially expressed genes are the genes that affect the breast cancer clinical characteristics.
So we construct a database, GECB, collected breast cancer gene expression and clinical data, and some commonly used normalization and differential expression test methods. To further analyze differentially expressed genes on breast cancer clinical characteristics.

並列關鍵字

database ； clinical ； cancer ； breast

參考文獻

2. (2007) World Health Organization, Fact sheet No. 297.

3. Long, J.R., Xu, H., Zhao, L.J., Liu, P.Y., Shen, H., Liu, Y.J., Xiong, D.H., Xiao, P., Liu, Y.Z., Dvornyk, V. et al. (2005) The oestrogen receptor {alpha} gene is linked and/or associated with age of menarche in different ethnic groups. 42, 796-800.

4. Flototto, T., Niederacher, D., Hohmann, D., Heimerzheim, T., Dall, P., Djahansouzi, S., Bender, H.G. and Hanstein, B. (2004) Molecular mechanism of estrogen receptor (ER)[alpha]-specific, estradiol-dependent expression of the progesterone receptor (PR) B-isoform. The Journal of Steroid Biochemistry and Molecular Biology, 88, 131-142.

5. Elfilali, A., Lair, S., Verbeke, C., La Rosa, P., Radvanyi, F. and Barillot, E. (2006) ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis. Nucleic Acids Res., 34, D613-616.

6. Rhodes, D.R., Kalyana-Sundaram, S., Mahavisno, V., Varambally, R., Yu, J., Briggs, B.B., Barrette, T.R., Anstet, M.J., Kincead-Beal, C., Kulkarni, P. et al. (2007) Oncomine 3.0: Genes, Pathways, and Networks in a Collection of 18,000 Cancer Gene Expression Profiles. Neoplasia, 9, 166-180.