Do Hongdo, Cameron Daniel, Molania Ramyar, Thapa Bibhusal, Rivalland Gareth, Mitchell Paul L, Murone Carmel, John Thomas, Papenfuss Anthony, Dobrovic Alexander
Translational Genomics and Epigenomics Laboratory, Olivia Newton-John Cancer Research Institute, Melbourne, VIC, 3084, Australia.
School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3084, Australia.
Adv Exp Med Biol. 2016;924:139-146. doi: 10.1007/978-3-319-42044-8_27.
Identifying circulating tumour DNA (ctDNA) for monitoring of cancer therapy is dependent on the development of readily designed, sensitive cancer-specific DNA markers. Genomic rearrangements that are present in the vast majority of cancers provide such markers.Tumour DNA isolated from two fresh-frozen lung tumours underwent whole genome sequencing. Genomic rearrangements were detected using a new computational algorithm, GRIDSS. Four genomic rearrangements from each tumour were chosen for further study using rearrangement-specific primers. Six of the eight rearrangements tested were identified as tumour-specific, the remaining two were present in the germline. ctDNA was quantified using digital PCR for the tumour genomic rearrangements in patient blood. Interestingly, one of the patients had no detectable ctDNA either prior to or post surgery although the rearrangements were readily detectable in the tumour DNA.This study demonstrates the feasibility of using digital PCR based on genomic rearrangements for the monitoring of minimal residual disease. In addition, whole genome sequencing provided further information enabling therapeutic choices including the identification of a cryptic EGFR exon 19 deletion in one patient and the identification of a high somatic mutation load in the other patient. This approach can be used as a model for all cancers with rearranged genomes.
识别循环肿瘤DNA(ctDNA)以监测癌症治疗依赖于易于设计的、敏感的癌症特异性DNA标记物的开发。绝大多数癌症中存在的基因组重排提供了此类标记物。从两个新鲜冷冻的肺肿瘤中分离出肿瘤DNA并进行全基因组测序。使用一种新的计算算法GRIDSS检测基因组重排。从每个肿瘤中选择四个基因组重排,使用重排特异性引物进行进一步研究。测试的八个重排中有六个被鉴定为肿瘤特异性,其余两个存在于种系中。使用数字PCR对患者血液中的肿瘤基因组重排进行ctDNA定量。有趣的是,其中一名患者在手术前或手术后均未检测到可检测到的ctDNA,尽管在肿瘤DNA中很容易检测到重排。这项研究证明了基于基因组重排的数字PCR用于监测微小残留病的可行性。此外,全基因组测序提供了更多信息,有助于做出治疗选择,包括在一名患者中鉴定出隐匿性表皮生长因子受体(EGFR)外显子19缺失,在另一名患者中鉴定出高体细胞突变负荷。这种方法可以作为所有基因组重排癌症的模型。