【佳學(xué)基因檢測】癌癥基因組測序:未來的挑戰(zhàn)
品牌基因檢測聯(lián)系方式—客觀性
開題評估《腫瘤突變基因檢測與個性化治療方案的制定》《Bioessays》在?2007 Aug;29(8):783-94發(fā)表了一篇題目為《癌癥基因組測序:未來的挑戰(zhàn)》腫瘤靶向藥物治療基因檢測臨床研究文章。該研究由Henry H Q Heng?等完成。促進(jìn)了腫瘤的正確治療與個性化用藥的發(fā)展,進(jìn)一步強(qiáng)調(diào)了基因信息檢測與分析的重要性。
腫瘤靶向藥物及正確治療臨床研究內(nèi)容關(guān)鍵詞:
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腫瘤靶向治療基因檢測臨床應(yīng)用結(jié)果
癌癥基因組圖譜 (TCGA) 項目的一個主要挑戰(zhàn)是解決癌癥的高水平遺傳和表觀遺傳異質(zhì)性。對于大多數(shù)實(shí)體瘤,進(jìn)化模式是隨機(jī)的,賊終產(chǎn)物是不可預(yù)測的,這與在許多血液癌癥中經(jīng)典描述的相對可預(yù)測的逐步模式形成對比。此外,在癌癥中產(chǎn)生異常水平的系統(tǒng)異質(zhì)性的主要因素是基因組異常,而不是基因突變。癌癥的這些特征可以顯著降低測序方法的影響,因為只有當(dāng)突變基因是癌癥的主要原因時,直接對其進(jìn)行測序才是合理的。許多生物因素(遺傳和表觀遺傳變異、代謝過程)和環(huán)境影響會增加癌癥形成的可能性,具體取決于給定的情況。這些因素之間的共同聯(lián)系是隨機(jī)基因組變異,這些變異為生物系統(tǒng)多個層面的癌癥進(jìn)化過程提供了驅(qū)動力。這一分析表明,癌癥是一種概率疾病,對 TCGA 項目賊具挑戰(zhàn)性的問題,以及抗擊癌癥的總體戰(zhàn)略的制定,都處于概念層面。
腫瘤發(fā)生與反復(fù)轉(zhuǎn)移國際數(shù)據(jù)庫描述:
A major challenge for The Cancer Genome Atlas (TCGA) Project is solving the high level of genetic and epigenetic heterogeneity of cancer. For the majority of solid tumors, evolution patterns are stochastic and the end products are unpredictable, in contrast to the relatively predictable stepwise patterns classically described in many hematological cancers. Further, it is genome aberrations, rather than gene mutations, that are the dominant factor in generating abnormal levels of system heterogeneity in cancers. These features of cancer could significantly reduce the impact of the sequencing approach, as it is only when mutated genes are the main cause of cancer that directly sequencing them is justified. Many biological factors (genetic and epigenetic variations, metabolic processes) and environmental influences can increase the probability of cancer formation, depending on the given circumstances. The common link between these factors is the stochastic genome variations that provide the driving force behind the cancer evolutionary process within multiple levels of a biological system. This analysis suggests that cancer is a disease of probability and the most-challenging issue to the TCGA project, as well as the development of general strategies for fighting cancer, lie at the conceptual level.
(責(zé)任編輯:佳學(xué)基因)