Molecular Diagnosis & TherapyGenetic & Genomic MedicinePeer-reviewed journal article
Dynamic ctDNA mutational complexity in melanoma patients receiving immunotherapy
Sandra J. FitzgeraldiD, Cherie BlenkironiD, Rosalie Stephens, Jon A. MathyiD, Tiffany J. Somers‐EdgariD, Gill Rolfe, Richard Martin, Christopher Jackson, Michael Roger EcclesiD, Tamsin J. RobbiD, Euan James RodgeriD, Ben J. LawrenceiD, Parry GuilfordiD, Annette LashamiD, Cristin Gregor PrintiD
Abstract
Circulating tumour DNA (ctDNA) analysis promises to improve the care of people with cancer, address health inequities and guide translational research. This observational cohort study used ctDNA to follow 29 New Zealand (NZ) unresectable advanced-stage cutaneous melanoma patients through multiple cycles of immunotherapy, to identify the breadth and complexity of tumour genomic information that ctDNA analysis can reliably report. During the course of treatment, a high level of dynamic mutational complexity was identified in blood plasma of these patients, including: multiple BRAF mutations in the same patient, clinically-relevant BRAF mutations emerging through therapy, and co-occurring sub-clonal BRAF and NRAS mutations. The technical validity of this ctDNA analysis was supported by high sample analysis-reanalysis concordance as well as by concordance between three ctDNA measurement technologies: droplet digital polymerase chain reaction (ddPCR), a custom melanoma-specific amplicon next-generation sequencing (NGS) panel and mass spectrometry. In addition, we observed >90% concordance in the detection of ctDNA when using cell-stabilising collection tubes followed by 7-day delayed processing, compared to standard EDTA blood collection protocols with rapid processing. We also found that undetectability of ctDNA at a proportion of treatment cycles was associated with both clinical benefit (best RECIST response) and prognosis (disease-specific survival). In summary, we found that multiple ctDNA processing and analysis methods consistently identified complex longitudinal patterns of clinically-relevant mutations, adding support for expanded implementation of this technology to guide in-treatment tailored cancer therapy.
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- top 28%
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