Cancers · 2023 · 20 citations · 24 references
MedicineNuclear MedicineOncologyMolecular DiagnosticsMolecular ImagingMolecular OncologyCancer GenomicsCirculating Tumor Dna AnalysisClinical GenomicsLiquid BiopsyMolecular Tumor ProfilingNext-generation Sequencing In OncologyCirculating Tumor Dna DetectionCirculating Tumor Dna SequencingCirculating Tumor Dna TestingMetabolic BurdenMetabolic Tumor CharacterizationMetabolic Tumor VolumeTotal Lesion GlycolysisVariant Allele Frequency Analysis
Background: The detection of circulating tumor DNA (ctDNA) with next-generation sequencing (NGS) in venous blood is a promising tool for the genomic profiling of head and neck squamous cell carcinoma (HNSCC). The association between ctDNA findings and metabolic tumor burden detected with FDG-PET/CT imaging is of particular interest for developing prognostic and predictive algorithms in HNSCC. Methods: Twenty-six prospectively enrolled HNSCC patients were eligible for further analysis. All patients underwent tumor tissue and venous liquid biopsy sampling and FDG-PET/CT before definitive oncologic treatment. An NGS-based commercial panel was used for a genomic analysis of the samples. Results: Maximum variant allele frequency (VAF) in blood correlated positively with whole-body (WB) metabolic tumor volume (MTV) and total lesion glycolysis (TLG) (r = 0.510, p = 0.008 and r = 0.584, p = 0.002, respectively). A positive liquid biopsy was associated with high WB-TLG using VAF ≥ 1.00% or ≥5.00% as a cut-off value (p = 0.006 or p = 0.003, respectively). Additionally, ctDNA detection was associated with WB-TLG when only concordant variants detected in both ctDNA and tissue samples were considered. Conclusions: A high metabolic tumor burden based on FDG imaging is associated with a positive liquid biopsy and high maximum VAF. Our findings suggest a complementary role of metabolic and genomic signatures in the pre-treatment evaluation of HNSCC.
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