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Optimized whole-genome sequencing workflow for tumor diagnostics in routine pathology practice.
Samsom, Kris G; Bosch, Linda J W; Schipper, Luuk J; Schout, Daoin; Roepman, Paul; Boelens, Mirjam C; Lalezari, Ferry; Klompenhouwer, Elisabeth G; de Langen, Adrianus J; Buffart, Tineke E; van Linder, Berit M H; van Deventer, Kelly; van den Burg, Kay; Unmehopa, Unga; Rosenberg, Efraim H; Koster, Roelof; Hogervorst, Frans B L; van den Berg, José G; Riethorst, Immy; Schoenmaker, Lieke; van Beek, Daphne; de Bruijn, Ewart; van der Hoeven, Jacobus J M; van Snellenberg, Hans; van der Kolk, Lizet E; Cuppen, Edwin; Voest, Emile E; Meijer, Gerrit A; Monkhorst, Kim.
Afiliação
  • Samsom KG; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Bosch LJW; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Schipper LJ; Department of Molecular Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Schout D; Oncode Institute, Office Jaarbeurs Innovation Mile (JIM), Utrecht, the Netherlands.
  • Roepman P; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Boelens MC; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • Lalezari F; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Klompenhouwer EG; Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • de Langen AJ; Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Buffart TE; Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • van Linder BMH; Department of Medical Oncology, Amsterdam UMC, Amsterdam, the Netherlands.
  • van Deventer K; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • van den Burg K; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Unmehopa U; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Rosenberg EH; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Koster R; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Hogervorst FBL; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • van den Berg JG; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Riethorst I; Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Schoenmaker L; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • van Beek D; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • de Bruijn E; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • van der Hoeven JJM; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • van Snellenberg H; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • van der Kolk LE; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • Cuppen E; Family Cancer Clinic, Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Voest EE; Oncode Institute, Office Jaarbeurs Innovation Mile (JIM), Utrecht, the Netherlands.
  • Meijer GA; Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands.
  • Monkhorst K; Center for Molecular Medicine, University Medical Centre Utrecht, Utrecht, the Netherlands.
Nat Protoc ; 19(3): 700-726, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38092944
ABSTRACT
Two decades after the genomics revolution, oncology is rapidly transforming into a genome-driven discipline, yet routine cancer diagnostics is still mainly microscopy based, except for tumor type-specific predictive molecular tests. Pathology laboratories struggle to quickly validate and adopt biomarkers identified by genomics studies of new targeted therapies. Consequently, clinical implementation of newly approved biomarkers suffers substantial delays, leading to unequal patient access to these therapies. Whole-genome sequencing (WGS) can successfully address these challenges by providing a stable molecular diagnostic platform that allows detection of a multitude of genomic alterations in a single cost-efficient assay and facilitating rapid implementation, as well as by the development of new genomic biomarkers. Recently, the Whole-genome sequencing Implementation in standard Diagnostics for Every cancer patient (WIDE) study demonstrated that WGS is a feasible and clinically valid technique in routine clinical practice with a turnaround time of 11 workdays. As a result, WGS was successfully implemented at the Netherlands Cancer Institute as part of routine diagnostics in January 2021. The success of implementing WGS has relied on adhering to a comprehensive protocol including recording patient information, sample collection, shipment and storage logistics, sequencing data interpretation and reporting, integration into clinical decision-making and data usage. This protocol describes the use of fresh-frozen samples that are necessary for WGS but can be challenging to implement in pathology laboratories accustomed to using formalin-fixed paraffin-embedded samples. In addition, the protocol outlines key considerations to guide uptake of WGS in routine clinical care in hospitals worldwide.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Limite: Humans Idioma: En Revista: Nat Protoc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Limite: Humans Idioma: En Revista: Nat Protoc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda