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PipeIT: A Singularity Container for Molecular Diagnostic Somatic Variant Calling on the Ion Torrent Next-Generation Sequencing Platform.
Garofoli, Andrea; Paradiso, Viola; Montazeri, Hesam; Jermann, Philip M; Roma, Guglielmo; Tornillo, Luigi; Terracciano, Luigi M; Piscuoglio, Salvatore; Ng, Charlotte K Y.
Afiliación
  • Garofoli A; Institute of Pathology, University Hospital Basel, Basel, Switzerland.
  • Paradiso V; Institute of Pathology, University Hospital Basel, Basel, Switzerland.
  • Montazeri H; Institute of Pathology, University Hospital Basel, Basel, Switzerland; Department of Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
  • Jermann PM; Institute of Pathology, University Hospital Basel, Basel, Switzerland.
  • Roma G; Department of Biology, University of Naples Federico II, Naples, Italy.
  • Tornillo L; Institute of Pathology, University Hospital Basel, Basel, Switzerland; GILAB AG, Allschwil, Switzerland.
  • Terracciano LM; Institute of Pathology, University Hospital Basel, Basel, Switzerland.
  • Piscuoglio S; Institute of Pathology, University Hospital Basel, Basel, Switzerland; Visceral Surgery Research Laboratory, Clarunis, Department of Biomedicine, University of Basel, Basel, Switzerland.
  • Ng CKY; Institute of Pathology, University Hospital Basel, Basel, Switzerland; Department for Biomedical Research, University of Bern, Bern, Switzerland. Electronic address: charlotte.ng@dbmr.unibe.ch.
J Mol Diagn ; 21(5): 884-894, 2019 09.
Article en En | MEDLINE | ID: mdl-31229654
ABSTRACT
The accurate identification of somatic mutations has become a pivotal component of tumor profiling and precision medicine. In molecular diagnostics laboratories, somatic mutation analyses on the Ion Torrent sequencing platform are typically performed on the Ion Reporter platform, which requires extensive manual review of the results and lacks optimized analysis workflows for custom targeted sequencing panels. Alternative solutions that involve custom bioinformatics pipelines involve the sequential execution of software tools with numerous parameters, leading to poor reproducibility and portability. We describe PipeIT, a stand-alone Singularity container of a somatic mutation calling and filtering pipeline for matched tumor-normal Ion Torrent sequencing data. PipeIT is able to identify pathogenic variants in BRAF, KRAS, PIK3CA, CTNNB1, TP53, and other cancer genes that the clinical-grade Oncomine workflow identified. In addition, PipeIT analysis of tumor-normal paired data generated on a custom targeted sequencing panel achieved 100% positive predictive value and 99% sensitivity compared with the 68% to 80% positive predictive value and 92% to 96% sensitivity using the default tumor-normal paired Ion Reporter workflow, substantially reducing the need for manual curation of the results. PipeIT can be rapidly deployed to and ensures reproducible results in any laboratory and can be executed with a single command with minimal input files from the users.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Oncogenes / Programas Informáticos / Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento / Mutación / Neoplasias Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2019 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Oncogenes / Programas Informáticos / Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento / Mutación / Neoplasias Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2019 Tipo del documento: Article País de afiliación: Suiza