【佳學(xué)基因檢測(cè)】cDNA微陣列:基因特征的鑒定及其在臨床實(shí)踐中的應(yīng)用
靶向藥一旦停藥會(huì)怎樣省錢(qián)要點(diǎn)
查重分析《腫瘤治療效果與基因檢測(cè)結(jié)果的相關(guān)性》《J BUON》在?2007 Sep;12 Suppl 1:S39-44發(fā)表了一篇題目為《cDNA微陣列:基因特征的鑒定及其在臨床實(shí)踐中的應(yīng)用》腫瘤靶向藥物治療基因檢測(cè)臨床研究文章。該研究由Zvonko Magic,?Sinisa Radulovic,?Mirjana Brankovic-Magic等完成。促進(jìn)了腫瘤的正確治療與個(gè)性化用藥的發(fā)展,進(jìn)一步強(qiáng)調(diào)了基因信息檢測(cè)與分析的重要性。
腫瘤靶向藥物及正確治療臨床研究?jī)?nèi)容關(guān)鍵詞:
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腫瘤靶向治療基因檢測(cè)臨床應(yīng)用結(jié)果
人類(lèi)基因組測(cè)序?yàn)獒t(yī)學(xué)帶來(lái)了新的后基因組時(shí)代。一種新的微陣列技術(shù)代表了一種新的遺傳平臺(tái),它被廣泛用于彌合基因序列和功能之間的差距?;旧希褂眠@種技術(shù),可以同時(shí)測(cè)量基因組中幾乎所有基因的活性。這些實(shí)驗(yàn)的結(jié)果是斑點(diǎn)的亮度因基因而異,對(duì)應(yīng)于所檢查基因的轉(zhuǎn)錄活性。它可以創(chuàng)建實(shí)驗(yàn)來(lái)尋找其表達(dá)與腫瘤的存在、從良性疾病進(jìn)展到惡性疾病或從低級(jí)別到高級(jí)別惡性腫瘤的進(jìn)展相關(guān)的基因??梢愿唧w地識(shí)別腫瘤類(lèi)型,并且可以使用基因表達(dá)的差異來(lái)檢測(cè)已經(jīng)證明與轉(zhuǎn)移風(fēng)險(xiǎn)增加相關(guān)的基因表達(dá)變化的腫瘤?;虮磉_(dá)譜還將幫助臨床醫(yī)生就癌癥患者的賊佳治療做出決定。
腫瘤發(fā)生與反復(fù)轉(zhuǎn)移國(guó)際數(shù)據(jù)庫(kù)描述:
Sequencing of human genome introduced the new postgenomic era in medicine. A novel microarray technology represents a novel genetic platform which is being widely exploited to bridge the gap between gene sequence and function. Basically, with this technique it is possible to simultaneously measure the activity of virtually all genes in the genome. The result of these experiments are spots whose brightness varies from gene to gene corresponding to the transcriptional activity of the examined genes. It makes it possible to create experiments looking for genes whose expression correlates with the presence of tumor, with progression from a benign to a malignant condition, or with progression from a low grade to high grade malignancy. Tumor types can be more specifically identified, and differences in gene expression can be used to detect tumors that already demonstrate gene expression changes associated with increased risk of metastasis. Gene expression profiles will also help clinicians make decisions about the optimal treatment of cancer patients.
(責(zé)任編輯:佳學(xué)基因)