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Nteliopoulos G, Page K, Hills A, Howarth K, Emmett W, Green E, Martinson LJ, Fernadez-Garcia D, Hastings R, Guttery DS, Kenny L, Stebbing J, Cleator S, Rehman F, Gleason KLT, Sanela A, Ion C, Rushton AJ, Rosenfeld N, Coombes RC, Shaw JA. Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients. Breast Cancer Res Treat 2021; 188:465-476. [PMID: 34097174 PMCID: PMC8260509 DOI: 10.1007/s10549-021-06220-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/30/2021] [Indexed: 12/15/2022]
Abstract
PURPOSE There is growing interest in the application of circulating tumour DNA (ctDNA) as a sensitive tool for monitoring tumour evolution and guiding targeted therapy in patients with cancer. However, robust comparisons of different platform technologies are still required. Here we compared the InVisionSeq™ ctDNA Assay with the Oncomine™ Breast cfDNA Assay to assess their concordance and feasibility for the detection of mutations in plasma at low (< 0.5%) variant allele fraction (VAF). METHODS Ninety-six plasma samples from 50 patients with estrogen receptor (ER)-positive metastatic breast cancer (mBC) were profiled using the InVision Assay. Results were compared to the Oncomine assay in 30 samples from 26 patients, where there was sufficient material and variants were covered by both assays. Longitudinal samples were analysed for 8 patients with endocrine resistance. RESULTS We detected alterations in 59/96 samples from 34/50 patients analysed with the InVision assay, most frequently affecting ESR1, PIK3CA and TP53. Complete or partial concordance was found in 28/30 samples analysed by both assays, and VAF values were highly correlated. Excellent concordance was found for most genes, and most discordant calls occurred at VAF < 1%. In longitudinal samples from progressing patients with endocrine resistance, we detected consistent alterations in sequential samples, most commonly in ESR1 and PIK3CA. CONCLUSION This study shows that both ultra-deep next-generation sequencing (NGS) technologies can detect genomic alternations even at low VAFs in plasma samples of mBC patients. The strong agreement of the technologies indicates sufficient reproducibility for clinical use as prognosic and predictive biomarker.
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Affiliation(s)
- Georgios Nteliopoulos
- Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK
| | - Karen Page
- Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Allison Hills
- Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK
| | | | | | | | - Luke J Martinson
- Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Daniel Fernadez-Garcia
- Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Robert Hastings
- Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - David S Guttery
- Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Laura Kenny
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Justin Stebbing
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Susan Cleator
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Farah Rehman
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Kelly L T Gleason
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Andrijac Sanela
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Charlotte Ion
- Department of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK
| | - Amelia J Rushton
- Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK
| | | | - R Charles Coombes
- Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK
| | - Jacqueline A Shaw
- Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
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