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研究生: 曾筱庭
Tseng, Hsiao-Ting
論文名稱: 利用資料探勘探討大豆成分與乳癌之關係
Exploring the relation of soy compounds and breast cancer using data mining
指導教授: 謝佳倩
Hsieh, Chia-Chien
學位類別: 碩士
Master
系所名稱: 人類發展與家庭學系
Department of Human Development and Family Studies
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 111
中文關鍵詞: 大豆乳癌雌激素植物性雌激素決策樹關聯規則探勘
英文關鍵詞: Soy, Breast cancer, Estrogen, Phytoestrogen, Decision tree, Association rule mining
DOI URL: http://doi.org/10.6345/THE.NTNU.DHDFS.034.2018.A06
論文種類: 學術論文
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乳癌是威脅全球女性健康甚至生命的疾病之一,流行病學研究顯示台灣乳癌發生率在近二十年有上升的趨勢。飲食是影響乳癌發展的因子之一,過去流行病學研究指出攝取大豆與降低乳癌風險的關係,但在部份體內與體外試驗中卻看到相反的結果。因此攝取大豆與降低乳癌風險的關係仍存有些爭議。大豆中有許多具生物活性的成份,其中包括植物性雌激素和具活性的蛋白、胜肽。而大豆異黃酮是大豆中最主要的植物性雌激素類成份,由於其結構與雌二醇相似,因此在不同條件下,可以扮演協同或是拮抗雌激素的作用。近年來發表了許多以電腦與資訊相關方法進行的生命科學研究,有助於精準醫學的發展。本研究利用資料探勘相關模型探討大豆攝取與降低乳癌風險之關係,使用的資料探勘模型包括決策樹分類模型和關聯規則探勘,建立一大豆與乳癌為主題之資料庫,其中包括了201篇原著研究及478筆資料。根據研究性質,將資料庫分成體內試驗、體外試驗與人類研究三個子資料庫,探討大豆中不同類別成分、其乳癌之類型以及激素存在與否不同條件下,大豆對乳癌發展的影響是否有所差異。以大豆成分類別來看,蛋白胜肽類成份對乳癌正面影響關聯性較高,以正面影響為主;而植物性雌激素類則有較多反向結果,其中以Daidzein對乳癌具有負面影響,其他大豆中植物雌激素類成分如Coumestrol亦對乳癌發展具有部分負面影響。此外分析結果也顯示大豆影響乳癌會因不同乳癌類型而有所差異,在Luminal類型的乳癌中看到大豆之影響多有不一致的結果,而三陰性乳癌則多有正面的影響。而針對不同受體表現分析結果顯示,大豆對ER+和PR+表現之乳癌會有不一致影響結果,其中是以植物性雌激素類成分有負面影響。而對ER-和PR-類型乳癌以正面影響為主。而在雌激素存在之下,如停經前婦女,大豆成分對乳癌的正面影響也有較強的關聯。總結來說,大豆影響乳癌之結果取決於多種不同的條件。因此在建議乳癌病人攝取大豆與其相關製品時,需要考慮其乳癌類型以及選擇特定之大豆成份。

Breast cancer is one of the diseases that threatens the health and even life of women around the world. Epidemiological studies have shown that the incidence of breast cancer has risen in the past 20 years in Taiwan. Dietary pattern is one of the factors to influence breast cancer development. Soy intake is associated to reduce the risk of breast cancer in some epidemiologic studies. However, there were some conflicting results in both in vitro and in vivo studies. It is still controversial between soy intake and the risk of breast cancer. There are abundant bioactive compounds in soy, including the phytoestrogen and bioactive proteins and peptides. The main phytoestrogen of soy are isoflavones, which have similar structure with 17-β-estradiol, and exerts estrogenic or antiestrogenic effects. Depend on different condition, isoflavones can effect as estrogen antagonist or agonist. Recently, scientists apply the computational and information-related methods to assist the development of precision medicine on life sciences. In this study, we use the data mining model including decision tree classification and association rule mining to analyize the relation between soy consumption and the risk of breast cancer. The database of soy-breast cancer containing 201 original research papers and 478 data, whcih was separated to three sub-databases included cell, animal and human studies. The aim of this study is to explore whether the effects of soy on breast cancer development are different under different conditions of different category compounds in soy, the type of breast cancer, and the presence or absence of hormones receptors. The results have shown that the category of protein or peptides is related to the positive effect on the breast cancer. However, the category of phytoestrogen has more conflicting results. Especially, we found that the Daidzein is the specific compound that related to negative effect to the breast cancer. Other phytoestrogen compounds such as Coumestrol also has some negative impact on breast cancer development. Soy has more conflict results on the breast cancer of luminal subtype but has more positive effects on the triple negative breast cancer. According to the results of different receptor performance analysis, soy has a negative effect on breast cancer of ER+ and PR+, which is especially phytoestrogen compounds have negative effect. And it is mainly positive for ER- and PR- type breast cancer. Regard to the presence of estrogen, soy has a stronger positive correlation with on premenopausal breast cancer women.with In conclusion, the association between soy and breast cancer is depended on variety conditions. Thus, the recommendation for breast cancer patients to take soy products should consider the tumor types and specific soy compounds.

第一章 文獻回顧 1 第一節 乳癌 1 一、乳癌的流行病學 1 二、乳癌的診斷與分類 2 1.臨床上乳癌之診斷與分類 2 2.乳癌各受體表現型態分類 3 三、乳癌的風險因子 4 1.飲食因子與乳癌 4 2.雌激素與乳癌 5 四、乳癌的治療與預後 7 第二節 大豆 8 一、植物性雌激素類成分 8 二、大豆蛋白質、胜肽類成分 11 第三節 電腦生物學 14 一、資料探勘 14 1.分類法 15 2.關聯規則探勘 16 第二章 研究動機、目的與假說 17 第一節 研究動機與目的 17 第二節 研究假說與問題 18 一、研究假說 18 二、研究問題 18 第三章 研究材料與方法 19 第一節 研究材料來源 19 一、資料庫資料來源 19 二、建模與統計分析軟體 19 第二節 研究方法與模式 20 一、研究流程與架構 20 二、建立本研究Soy-Breast Cancer資料庫 21 三、卡方檢定 25 四、決策樹分類模型 27 五、關聯規則探勘 28 第四章 實驗結果 29 第一節、大豆成分與乳癌發展之關係探討資料庫建立 29 一、全體資料 29 二、細胞資料庫 30 三、動物資料庫 31 四、人類資料庫 31 第二節、大豆中不同類別成分對乳癌發展之影響 32 第三節、大豆成分影響乳癌發展是否與乳癌型態有關 37 一、大豆對不同乳癌受體表現之發展影響 37 二、大豆對不同乳癌類型發展之影響 42 三、關聯規則探勘大豆對不同乳癌類型之影響 46 1. 關聯規則探勘細胞資料庫 46 1.1.蛋白胜肽類成分對乳癌為正面影響的關聯規則 46 1.2.植物性雌激素成分對乳癌為正面影響的關聯規則 47 1.3.對乳癌為負面影響的關聯規則 47 2.關聯規則探勘動物資料 49 3.關聯規則探勘人類資料 50 第四節、大豆成分影響乳癌的發展是否與雌激素存在與否有關 52 一、雌激素存在與否對乳癌發展的影響 52 二、關聯規則探勘大豆雌激素存在與否之影響 55 1.關聯規則探勘動物資料 55 2.關聯規則探勘人類資料 56 3.關聯規則探勘不同雌激素狀況之動物與人類資料 58 第五章 討論 60 第一節、大豆中不同類別成分對乳癌的影響 60 第二節、大豆成分影響乳癌發展是否與乳癌型態有關 61 第三節、大豆成分影響乳癌的發展是否與雌激素存在與否有關 64 第四節、本研究資料庫之限制 66 第六章 結論 67 第七章 參考文獻 70 第八章 附錄 82 第一節、卡方檢定 82 第二節、決策樹程式碼 83 第三節、關聯規則程式碼 87 第四節、資料庫中文獻 93

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