Cancer Cell · 2024 · 66 citations · 41 references
MedicineMolecular BiologyOncologyMolecular DiagnosticsMolecular OncologyTumor ProgressionCancer BiomarkersCancer Molecular DiagnosticsCirculating Tumor Dna AnalysisLiquid BiopsyNext-generation Sequencing In OncologyRecurrence MonitoringCirculating Cell-free Dna AnalysisCirculating Tumor BiomarkersCirculating Tumor Dna DetectionCirculating Tumor Dna DynamicsCirculating Tumor MarkersLiquid Biopsy DetectionLiquid Biopsy MarkersNeoadjuvant Chemoradiotherapy
Recurrence risks of cancer patient can change during treatment as a result of treatment-related tumor evolution. However, biomarkers that can monitor these changes are lacking. Here, we investigated whether tracking circulating tumor DNA (ctDNA) dynamics through liquid biopsy can inform real-time recurrence risk. Nasopharyngeal carcinoma (NPC) provides an ideal model where cell-free Epstein-Barr virus (EBV) DNA (cfEBV DNA), a ctDNA, can be sensitively detected. We conducted the EP-SEASON study (NCT03855020) and prospectively recruited 1,000 NPC patients undergoing per-protocol cfEBV DNA assessments at 11 time points and receiving sequential chemo-radiotherapy. Longitudinal cfEBV DNA displayed distinct patterns during neoadjuvant chemotherapy and radiotherapy. Despite the prognostic significance of cfEBV DNA at each time point, real-time recurrence risks changed in sync with cfEBV DNA dynamics. Furthermore, we identified phenotypes of whole-course ctDNA changing dynamics associated with different survival outcomes. In conclusion, tracking longitudinal on-treatment ctDNA can forecast real-time recurrence risk, facilitating risk-adapted, individualized patient management.
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Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan et al. · Nature Methods · 2019 · 10.5K citations · Full text
Partial residuals for the proportional hazards regression model
David Schoenfeld · Biometrika · 1982 · 2.9K citations