Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics
Thanks to personalized medicine trends and collaborations between industry, clinical research groups and regulatory agencies, next generation sequencing (NGS) is turning into a common practice faster than one could have originally expected. When considering clinical applications of NGS in oncology,...
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2019-10-01
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Online Access: | https://www.mdpi.com/2072-6694/11/11/1691 |
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doaj-f262e6fcfe3a4bd7999ab5a1c583a1382020-11-25T01:12:25ZengMDPI AGCancers2072-66942019-10-011111169110.3390/cancers11111691cancers11111691Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer DiagnosticsLucia Anna Muscarella0Federico Pio Fabrizio1Maria De Bonis2Maria Teresa Mancini3Teresa Balsamo4Paolo Graziano5Flavia Centra6Angelo Sparaneo7Domenico Trombetta8Antonio Bonfitto9Vito Scagliusi10Pietro Larizza11Ettore Domenico Capoluongo12Vito Michele Fazio13Laboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyDepartment of Laboratory Medicine of the ‘Agostino Gemelli’ Foundation in Rome, 00168 Rome, ItalyMASMEC S.p.A, 70026 Modugno, (BA), ItalyLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyUnit of Pathology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyUnit of Pathology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyMASMEC S.p.A, 70026 Modugno, (BA), ItalyMASMEC S.p.A, 70026 Modugno, (BA), ItalyDepartment of Molecular Medicine and Medical Biotechnologies, University Federico II-CEINGE, 80145 Naples, ItalyLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, (FG), ItalyThanks to personalized medicine trends and collaborations between industry, clinical research groups and regulatory agencies, next generation sequencing (NGS) is turning into a common practice faster than one could have originally expected. When considering clinical applications of NGS in oncology, a rapid workflow for DNA extraction from formalin-fixed paraffin-embedded (FFPE) tissue samples, as well as producing high quality library preparation, can be real challenges. Here we consider these targets and how applying effective automation technology to NGS workflows may help improve yield, timing and quality-control. We firstly evaluated DNA recovery from archived FFPE blocks from three different manual extraction methods and two automated extraction workstations. The workflow was then implemented to somatic (lung/colon panel) and germline (<i>BR</i><i>CA1/2</i>) library preparation for NGS analysis exploiting two automated workstations. All commercial kits gave good results in terms of DNA yield and quality. On the other hand, the automated workstation workflow has been proven to be a valid automatic extraction system to obtain high quality DNA suitable for NGS analysis (lung/colon Ampli-seq panel). Moreover, it can be efficiently integrated with an open liquid handling platform to provide high-quality libraries from germline DNA with more reproducibility and high coverage for targeted sequences in less time (<i>BRCA1/2</i>).<i> </i>The introduction of automation in routine workflow leads to an improvement of NGS standardization and increased scale up of sample preparations, reducing labor and timing, with optimization of reagents and management.https://www.mdpi.com/2072-6694/11/11/1691ffpedna extractionautomationlibrary preparationngs. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lucia Anna Muscarella Federico Pio Fabrizio Maria De Bonis Maria Teresa Mancini Teresa Balsamo Paolo Graziano Flavia Centra Angelo Sparaneo Domenico Trombetta Antonio Bonfitto Vito Scagliusi Pietro Larizza Ettore Domenico Capoluongo Vito Michele Fazio |
spellingShingle |
Lucia Anna Muscarella Federico Pio Fabrizio Maria De Bonis Maria Teresa Mancini Teresa Balsamo Paolo Graziano Flavia Centra Angelo Sparaneo Domenico Trombetta Antonio Bonfitto Vito Scagliusi Pietro Larizza Ettore Domenico Capoluongo Vito Michele Fazio Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics Cancers ffpe dna extraction automation library preparation ngs. |
author_facet |
Lucia Anna Muscarella Federico Pio Fabrizio Maria De Bonis Maria Teresa Mancini Teresa Balsamo Paolo Graziano Flavia Centra Angelo Sparaneo Domenico Trombetta Antonio Bonfitto Vito Scagliusi Pietro Larizza Ettore Domenico Capoluongo Vito Michele Fazio |
author_sort |
Lucia Anna Muscarella |
title |
Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics |
title_short |
Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics |
title_full |
Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics |
title_fullStr |
Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics |
title_full_unstemmed |
Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics |
title_sort |
automated workflow for somatic and germline next generation sequencing analysis in routine clinical cancer diagnostics |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2019-10-01 |
description |
Thanks to personalized medicine trends and collaborations between industry, clinical research groups and regulatory agencies, next generation sequencing (NGS) is turning into a common practice faster than one could have originally expected. When considering clinical applications of NGS in oncology, a rapid workflow for DNA extraction from formalin-fixed paraffin-embedded (FFPE) tissue samples, as well as producing high quality library preparation, can be real challenges. Here we consider these targets and how applying effective automation technology to NGS workflows may help improve yield, timing and quality-control. We firstly evaluated DNA recovery from archived FFPE blocks from three different manual extraction methods and two automated extraction workstations. The workflow was then implemented to somatic (lung/colon panel) and germline (<i>BR</i><i>CA1/2</i>) library preparation for NGS analysis exploiting two automated workstations. All commercial kits gave good results in terms of DNA yield and quality. On the other hand, the automated workstation workflow has been proven to be a valid automatic extraction system to obtain high quality DNA suitable for NGS analysis (lung/colon Ampli-seq panel). Moreover, it can be efficiently integrated with an open liquid handling platform to provide high-quality libraries from germline DNA with more reproducibility and high coverage for targeted sequences in less time (<i>BRCA1/2</i>).<i> </i>The introduction of automation in routine workflow leads to an improvement of NGS standardization and increased scale up of sample preparations, reducing labor and timing, with optimization of reagents and management. |
topic |
ffpe dna extraction automation library preparation ngs. |
url |
https://www.mdpi.com/2072-6694/11/11/1691 |
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