Performance comparison of two next-generation sequencing panels to detect actionable mutations in cell-free DNA in cancer patients

Background Genomic alterations studies in cell-free DNA (cfDNA) have increasing clinical use in oncology. Next-generation sequencing (NGS) technology provides the most complete mutational analysis, but nowadays limited data are available related to the comparison of results reported by different pla...

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Veröffentlicht in:Clinical chemistry and laboratory medicine 2020-08, Vol.58 (8), p.1341-1348
Hauptverfasser: Macías, Mónica, Cañada-Higueras, Eva, Alegre, Estibaliz, Bielsa, Arancha, Gracia, Javier, Patiño-García, Ana, Ferrer-Costa, Roser, Sendino, Teresa, Andueza, María P., Mateos, Beatriz, Rodríguez, Javier, Corral, Jesús, Gúrpide, Alfonso, Lopez-Picazo, José M., Perez-Gracia, Jose L., Gil-Bazo, Ignacio, Alkorta-Aranburu, Gorka, González, Álvaro
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Sprache:eng
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Zusammenfassung:Background Genomic alterations studies in cell-free DNA (cfDNA) have increasing clinical use in oncology. Next-generation sequencing (NGS) technology provides the most complete mutational analysis, but nowadays limited data are available related to the comparison of results reported by different platforms. Here we compare two NGS panels for cfDNA: Oncomine™ Pan-Cancer Cell-Free Assay (Thermo Fisher Scientific), suitable for clinical laboratories, and Guardant360® (GuardantHealth), with more genes targeted but only available in an outsourcing laboratory. Methods Peripheral blood was obtained from 16 advanced cancer patients in which Guardant360® (G360) was requested as part of their clinical assistance. Blood samples were sent to be analyzed with G360 panel, and an additional blood sample was drawn to obtain and analyze cfDNA with Oncomine™ Pan-Cancer (OM) panel in an Ion GeneStudio S5™ System. Results cfDNA analysis globally rendered 101 mutations. Regarding the 55/101 mutations claimed to be included by manufacturers in both panels, 17 mutations were reported only by G360, 10 only by OM and 28 by both. In those coincident cases, there was a high correlation between the variant allele fractions (VAFs) calculated with each panel (r = 0.979, p 
ISSN:1434-6621
1437-4331
DOI:10.1515/cclm-2019-1267