Matching cancer genomes to established cell lines for personalized oncology.
Matching cancer genomes to established cell lines for personalized oncology.
复制标题
将癌症基因组与已建立的细胞系进行匹配，以实现个性化肿瘤学。
DOI：
10.1142/9789814335058_0026
复制
发表时间：
2011
影响因子：
--
通讯作者：
Butte,AtulJ
中科院分区：
文献类型：
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作者：
Dudley,JoelT;Chen,Rong;Butte,AtulJ
癌症的诊断和治疗是发达国家的主要死亡原因之一，在临床上面临着巨大的挑战。肿瘤的遗传和表观遗传异质性可能导致对治疗的不同反应和患者结果的巨大差异，即使是来自相似组织的肿瘤也是如此。高通量DNA测序技术有望通过高效和经济地描绘完整的肿瘤基因组来改善癌症的诊断和治疗，为个性化肿瘤学的方法铺平道路，这种方法考虑了患者肿瘤的独特遗传组成。在这里，我们提出了一种新的方法，利用癌症基因组测序提供的信息来匹配单个肿瘤基因组和商业细胞系，这些细胞系可能被用作临床替代品，以告知预后或治疗策略。我们使用已公布的肺癌基因组和商业癌细胞系的基因图谱来评估该方法。这些结果支持这种匹配方法的总体合理性，从而为利用已建立的癌细胞系进行个性化肿瘤学的翻译生物信息学方法提供了第一步。
The diagnosis and treatment of cancers, which rank among the leading causes of mortality in developed nations, presents substantial clinical challenges. The genetic and epigenetic heterogeneity of tumors can lead to differential response to therapy and gross disparities in patient outcomes, even for tumors originating from similar tissues. High-throughput DNA sequencing technologies hold promise to improve the diagnosis and treatment of cancers through efficient and economical profiling of complete tumor genomes, paving the way for approaches to personalized oncology that consider the unique genetic composition of the patient's tumor. Here we present a novel method to leverage the information provided by cancer genome sequencing to match an individual tumor genome with commercial cell lines, which might be leveraged as clinical surrogates to inform prognosis or therapeutic strategy. We evaluate the method using a published lung cancer genome and genetic profiles of commercial cancer cell lines. The results support the general plausibility of this matching approach, thereby offering a first step in translational bioinformatics approaches to personalized oncology using established cancer cell lines.