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. 2025 Jan;27(1):25-35.
doi: 10.1016/j.jmoldx.2024.08.011. Epub 2024 Nov 7.

Surveillance of Disease Progression in Metastatic Breast Cancer by Molecular Counting of Circulating Tumor DNA Using Plasma-SeqSensei Breast Cancer in Vitro Diagnostics Assay

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Surveillance of Disease Progression in Metastatic Breast Cancer by Molecular Counting of Circulating Tumor DNA Using Plasma-SeqSensei Breast Cancer in Vitro Diagnostics Assay

Geert A Martens et al. J Mol Diagn. 2025 Jan.
Free article

Abstract

Circulating tumor DNA (ctDNA) quantification surpasses cancer antigen 15 to 3 for metastatic breast cancer surveillance. Clinical translation, however, is limited because of uncertainties about the optimal method and clinically valid ctDNA decision thresholds. Plasma-SeqSensei Breast Cancer IVD kit (PSS) is a novel assay for ctDNA molecular counting, detecting ≥0.06% variant allele fractions in AKT1, ERBB2, ESR1, KRAS, PIK3CA, and TP53. PSS was validated against droplet digital PCR (ddPCR) in 201 samples from 16 subjects with PIK3CA/TP53-mutated cancers, longitudinally sampled for a median of 93 (range, 18 to 113) weeks, three to five weekly. PSS and ddPCR ctDNA levels correlate significantly (Spearman ρ, 0.923; 95% CI, 0.898-0.941) across 0% to 43% variant allele frequency (VAF) range. PSS predicts 12-week progression with high clinical accuracy (area under the curve, 0.848; 95% CI, 0.790-0.894). PSS validates a previously developed ddPCR classifier: <10 copies/mL (0.25% VAF); excludes >100 copies/mL (2.5% VAF); and confirms progression, with negative predictive value (95% CI) of 83% (76%-88%) and positive predictive value (95% CI) of 91% (81%-96%) (weighted κ, 0.856; 95% CI, 0.797-0.915). PSS thus confirms robust clinical thresholds (10 to 100 copies/mL, 0.25% to 2.5% VAF) for metastatic breast cancer surveillance, using absolute molecular counting.

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Conflict of interest statement

Disclosure Statement J.W. is employed by Sysmex Inostics. None of the other authors have a conflict of interest. Sysmex Inostics was not involved in data analysis after unblinding.

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