子計畫I：肺癌早期診斷之生物晶片開發

中山醫學大學機構典藏 CSMUIR > 醫學院 > 醫學系 > 研究計劃 > Item 310902500/2833

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Title:	子計畫I：肺癌早期診斷之生物晶片開發 --
Authors:	鄭雅文 Cheng, Ya-Wen
Contributors:	中山醫學院醫學系
Keywords:	肺癌;診斷;生物晶片 Lung cancer;Diagnosis;Biochip
Date:	2003
Issue Date:	2010-11-25T03:10:59Z (UTC)
Abstract:	自民國七十一年以來，惡性腫瘤一直是國內十大死亡原因之首位(衛生署、生命統計,1984-2000)。而15% 至20% 癌症死亡人數是由肺癌所造成的。1955 年台灣地區男性與女性中，每十萬人口中分別有2.67 人和1.25 人是因罹患肺癌而導致死亡，然而1991 年台灣男女性肺癌死亡率已經升高為每十萬人中有25.42 人及10.85 人(衛生署、生命統計, 1984-1992)，在這不到四十年的時間中，肺癌的死亡率已經增加了十倍之多，而這樣的增加速度是所有惡性腫瘤中最為顯著的。在惡性腫瘤的死亡率中，女性以肺癌為第一大致死原因，而男性為第二位，僅次於肝癌(衛生署、生命統計,2000)。肺癌有如此高的死亡率主要是早期診斷困難，患者被發現時大多腫瘤已發生轉移，造成治療效果相當差，轉移患者之五年存活率僅有5-15%。因此建立一個監測腫瘤細胞轉移之生物指標，在提高肺癌治療效果和延長肺癌患者之存活率有相當重要的意義。過去研究多以單一指標監測腫瘤細胞之轉移，但均無法有效的早期監控，僅能以此來評估肺癌患者之愈後。本計劃以LCM (Laser capture microdissection ) 擷取不同期別及不同轉移時期之肺癌患者肺腫瘤組織並以cDNA microarray 分析四類主要與腫瘤細胞轉移有關之基因，包括：Cluster I : gap junction related genes；Cluster II：signal transduction related genes；Cluster III：tumor suppressor genes and oncogenes；Cluster IV：cell cycle regulator genes。比較此四類基因在轉移過程中之變化並依此結果找出差異較大較具意義之基因發展迷你晶片，以作為臨床之應用早期監測肺癌患者之轉移，提高存活率。本計畫之執行成果已篩選出約100 個基因，並進一步以免疫組織化學染色法分析Cluster I : gap junction related genes 中所得之E-cadherin、α-catenin 及β-catenin 蛋白在腫瘤組織中之表現情形，所得結果並進一步證明晶片所得結果之正確性。 Malignant tumors have been the leading cause of death in Taiwan since 1982 and 15-20% of cancer deaths were due to lung cancer. From 1955 to 1991, the mortality rate of lung cancer in Taiwan area has been increased from 2.67 and 1.25 to 25.42 and 10.85 per 100,000 for male and female, respectively. In less than 40 years, the mortality rate of lung cancer was increased by 10 folds and such increase was the most significant among all cancers. Since 1973, lung cancer has been the leading cause for cancer death of female and the second cause of male, only less than hepatoma. Such high mortality rate of lung cancer was mainly resulted by difficulty of early diagnosis and most patients were only identified after metastasis. The average 5 year survival was only 5 to 15%. Previously studied were monitoring the tumor metastasis of lung cancer patients by single biomarker, but unable to early monitoring, only elevate treatment efficiency and survival. In this project, lung tumor tissue picks up by LCM from different tumor type and tumor stage were used to cDNA microarray analyzed. LCM-cDNA microarray cluster analysis data showed that up- and down-regulated gene expression profiles of four cluster genes including: Cluster I: Gap junction related genes; Cluster II: Signal transduction related genes; Cluster III: Tumor suppressor genes and oncogenes; Cluster IV: Cell cycle regulator genes were observed. To monitor the gene expression change of these four clusters could be used to clinical application for early monitor the metastasis of lung cancer patient and enhances the survival rate. The project has to select about 100 genes, and then confirmed the genes expression form cluster I named E-cadeherin, alpha-catenin, and beta-catenin by immunohistochemistry. The immunostaining results were similar to the data from cDNA microarray. Therefore, we suggested that thisminichip will be helpful to early detection of lung cancer and monitor the lung tumor metastasis.
URI:	https://ir.csmu.edu.tw:8080/handle/310902500/2833
Appears in Collections:	[醫學系] 研究計劃

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