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Validation of a next-generation sequencing oncology panel optimized for low input DNA.
Sussman, Robyn T; Shaffer, Sydney; Azzato, Elizabeth M; DeSloover, Daniel; Farooqi, Midhat S; Meyer, Anders; Lieberman, David B; Bigdeli, Ashkan; Paolillo, Carmela; Ganapathy, Karthik; Sukhadia, Shrey; Rosenbaum, Jason N; Daber, Robert D; Morrissette, Jennifer J D.
Afiliación
  • Sussman RT; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Shaffer S; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Azzato EM; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • DeSloover D; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Farooqi MS; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Meyer A; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Lieberman DB; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Bigdeli A; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Paolillo C; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Ganapathy K; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Sukhadia S; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Rosenbaum JN; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Daber RD; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States.
  • Morrissette JJD; Hospital of the University of Pennsylvania, Division of Precision and Computational Diagnostics, Department of Pathology & Laboratory Medicine, 3020 Market Street, Suite 220, Philadelphia, PA 19104, United States. Electronic address: jennifer.morrissette@uphs.upenn.edu.
Cancer Genet ; 228-229: 55-63, 2018 12.
Article en En | MEDLINE | ID: mdl-30553474
ABSTRACT
One caveat of next-generation sequencing (NGS)-based clinical oncology testing is the high amount of input DNA required. We sought to develop a focused NGS panel that could capture hotspot regions in relevant genes requiring 0.5-10 ng input DNA. The resulting Penn Precision Panel (PPP) targeted 20 genes containing clinically significant variants relevant to many cancers. One hundred twenty-three samples were analyzed, including 83 solid tumor specimens derived from FFPE. Various input quantities of DNA (0.5-10 ng) were amplified with content-specific PCR primer pools, then sequenced on a MiSeq instrument (Illumina, Inc.) via paired-end, 2 × 186 base pair reads to an average read depth of greater than 6500x. Variants were detected using an in-house analysis pipeline. Clinical sensitivity and specificity were assessed using results from our previously validated solid tumor NGS panel; sensitivity of the PPP is 96.75% (387/400 variants) and specificity is 99.9% (8427/8428 base pairs). Variant allele frequencies (VAFs) are highly concordant across both assays (r = 0.98 p < 0.0001). The PPP is a robust, clinically validated test optimized for low-yield solid tumor specimens, capturing a high percentage of clinically relevant variants found by larger commercially available NGS panels while using only 0.5-10 ng of input DNA.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN de Neoplasias / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Cancer Genet Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN de Neoplasias / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Cancer Genet Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos