bioRxivGenomicsPreprint
Enhanced specificity of high sensitivity somatic variant profiling in cell-free DNA via paired normal sequencing: design, validation, and clinical experience of the MSK-ACCESS liquid biopsy assay
Angela Rose BrannoniD, Gowtham JayakumaraniD, Monica S. DiosdadoiD, Juber PateliD, Разумова Анна ИвановнаiD, Yu HuiD, Fanli Meng, Mohammad Haque, Justyna SadowskaiD, Brian J. Murphy, Tessara Baldi, Ian JohnsoniD, Ryan N. PtashkiniD, Maysun HasaniD, Preethi SrinivasaniD, Anoop Balakrishnan RemaiD, Ivelise RijoiD, Aaron Agarunov, Helen H. WoniD, Dilmi Perera, David N. BrowniD, Aliaksandra Samoila, Xiaohong Jing, Erika GedvilaiteiD, Julie L. YangiD, , Ryma BenayediD
Abstract
Circulating cell-free DNA (cfDNA) from blood plasma of cancer patients can be used to interrogate somatic tumor alterations non-invasively or when adequate tissue is unavailable. We have developed and clinically implemented MSK-ACCESS (Analysis of Circulating cfDNA to Evaluate Somatic Status), an NGS assay for detection of very low frequency somatic alterations in select exons and introns of 129 genes. Analytical validation demonstrated 92% sensitivity in de-novo mutation calling down to 0.5% allele frequency and 98% for a priori mutation profiling. To evaluate the performance and utility of MSK-ACCESS, we report results from the first 681 prospective blood samples (617 patients) that underwent clinical analysis to guide patient management. Somatic mutations, copy number, and/or structural variants were detected in 73% of the samples, and 56% of these circulating-tumor DNA (ctDNA) positive samples had clinically actionable alterations. The utilization of matched white blood cell sequencing allowed retention of somatic alterations while filtering out over 10,000 germline and clonal hematopoiesis variants, thereby greatly enhancing the specificity of the assay. Taken together, our experience illustrates the importance of analyzing a matched normal sample when interpreting cfDNA results and highlights the potential of cfDNA profiling to guide treatment selection, monitor treatment response, and identify mechanisms of treatment resistance.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 7
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