Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/16890
Title: | Digital PCR of genomic rearrangements for monitoring circulating tumour DNA | Austin Authors: | Do, Hongdo;Cameron, Daniel;Molania, Ramyar;Thapa, Bibhusal ;Rivall, Gareth;Mitchell, Paul L R ;Murone, Carmel ;John, Thomas ;Papenfuss, Anthony;Dobrovic, Alexander | Affiliation: | Department of Medical Oncology, Austin Health, Heidelberg, Victoria, Australia Department of Pathology, University of Melbourne, Parkville, Victoria, Australia Tumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville,Victoria, Australia Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia Translational Genomics and Epigenomics Laboratory, Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia Department of Medicine, The University of Melbourne, Heidelberg, Victoria, Australia School of Cancer Medicine, La Trobe University, Bundoora,Victoria Australia Department of Pathology, University of Melbourne, Parkville, Victoria, Australia |
Issue Date: | 18-Oct-2016 | Publication information: | Advances in Experimental Medicine and Biology 2016; 924:139-146 | Abstract: | 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. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/16890 | DOI: | 10.1007/978-3-319-42044-8_27 | ORCID: | 0000-0003-3414-112X | Journal: | Advances in Experimental Medicine and Biology | PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/27753035 | Type: | Journal Article | Subjects: | Droplet digital PCR Genomic rearrangement Liquid biopsy Lung cancer Whole genome sequencing |
Appears in Collections: | Journal articles |
Show full item record
Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.